A citation-based method for searching scientific literature

Spyros Darmanis, Steven A Sloan, Ye Zhang, Martin Enge, Christine Caneda, Lawrence M Shuer, Melanie G Hayden Gephart, Ben A Barres, Stephen R Quake. Proc Natl Acad Sci U S A 2015
Times Cited: 529







List of co-cited articles
760 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity


Neuronal subtypes and diversity revealed by single-nucleus RNA sequencing of the human brain.
Blue B Lake, Rizi Ai, Gwendolyn E Kaeser, Neeraj S Salathia, Yun C Yung, Rui Liu, Andre Wildberg, Derek Gao, Ho-Lim Fung, Song Chen,[...]. Science 2016
367
23

Brain structure. Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq.
Amit Zeisel, Ana B Muñoz-Manchado, Simone Codeluppi, Peter Lönnerberg, Gioele La Manno, Anna Juréus, Sueli Marques, Hermany Munguba, Liqun He, Christer Betsholtz,[...]. Science 2015
20

Massively parallel single-nucleus RNA-seq with DroNc-seq.
Naomi Habib, Inbal Avraham-Davidi, Anindita Basu, Tyler Burks, Karthik Shekhar, Matan Hofree, Sourav R Choudhury, François Aguet, Ellen Gelfand, Kristin Ardlie,[...]. Nat Methods 2017
321
18

SC3: consensus clustering of single-cell RNA-seq data.
Vladimir Yu Kiselev, Kristina Kirschner, Michael T Schaub, Tallulah Andrews, Andrew Yiu, Tamir Chandra, Kedar N Natarajan, Wolf Reik, Mauricio Barahona, Anthony R Green,[...]. Nat Methods 2017
441
17

Integrating single-cell transcriptomic data across different conditions, technologies, and species.
Andrew Butler, Paul Hoffman, Peter Smibert, Efthymia Papalexi, Rahul Satija. Nat Biotechnol 2018
17

Integrative single-cell analysis of transcriptional and epigenetic states in the human adult brain.
Blue B Lake, Song Chen, Brandon C Sos, Jean Fan, Gwendolyn E Kaeser, Yun C Yung, Thu E Duong, Derek Gao, Jerold Chun, Peter V Kharchenko,[...]. Nat Biotechnol 2018
256
17

Comprehensive Integration of Single-Cell Data.
Tim Stuart, Andrew Butler, Paul Hoffman, Christoph Hafemeister, Efthymia Papalexi, William M Mauck, Yuhan Hao, Marlon Stoeckius, Peter Smibert, Rahul Satija. Cell 2019
17

STAR: ultrafast universal RNA-seq aligner.
Alexander Dobin, Carrie A Davis, Felix Schlesinger, Jorg Drenkow, Chris Zaleski, Sonali Jha, Philippe Batut, Mark Chaisson, Thomas R Gingeras. Bioinformatics 2013
16

Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets.
Evan Z Macosko, Anindita Basu, Rahul Satija, James Nemesh, Karthik Shekhar, Melissa Goldman, Itay Tirosh, Allison R Bialas, Nolan Kamitaki, Emily M Martersteck,[...]. Cell 2015
16

An anatomically comprehensive atlas of the adult human brain transcriptome.
Michael J Hawrylycz, Ed S Lein, Angela L Guillozet-Bongaarts, Elaine H Shen, Lydia Ng, Jeremy A Miller, Louie N van de Lagemaat, Kimberly A Smith, Amanda Ebbert, Zackery L Riley,[...]. Nature 2012
15

Single-cell transcriptomic analysis of Alzheimer's disease.
Hansruedi Mathys, Jose Davila-Velderrain, Zhuyu Peng, Fan Gao, Shahin Mohammadi, Jennie Z Young, Madhvi Menon, Liang He, Fatema Abdurrob, Xueqiao Jiang,[...]. Nature 2019
376
15

Integrative functional genomic analysis of human brain development and neuropsychiatric risks.
Mingfeng Li, Gabriel Santpere, Yuka Imamura Kawasawa, Oleg V Evgrafov, Forrest O Gulden, Sirisha Pochareddy, Susan M Sunkin, Zhen Li, Yurae Shin, Ying Zhu,[...]. Science 2018
178
14

Low-coverage single-cell mRNA sequencing reveals cellular heterogeneity and activated signaling pathways in developing cerebral cortex.
Alex A Pollen, Tomasz J Nowakowski, Joe Shuga, Xiaohui Wang, Anne A Leyrat, Jan H Lui, Nianzhen Li, Lukasz Szpankowski, Brian Fowler, Peilin Chen,[...]. Nat Biotechnol 2014
454
13

Droplet barcoding for single-cell transcriptomics applied to embryonic stem cells.
Allon M Klein, Linas Mazutis, Ilke Akartuna, Naren Tallapragada, Adrian Veres, Victor Li, Leonid Peshkin, David A Weitz, Marc W Kirschner. Cell 2015
12

An RNA-sequencing transcriptome and splicing database of glia, neurons, and vascular cells of the cerebral cortex.
Ye Zhang, Kenian Chen, Steven A Sloan, Mariko L Bennett, Anja R Scholze, Sean O'Keeffe, Hemali P Phatnani, Paolo Guarnieri, Christine Caneda, Nadine Ruderisch,[...]. J Neurosci 2014
12

Comprehensive functional genomic resource and integrative model for the human brain.
Daifeng Wang, Shuang Liu, Jonathan Warrell, Hyejung Won, Xu Shi, Fabio C P Navarro, Declan Clarke, Mengting Gu, Prashant Emani, Yucheng T Yang,[...]. Science 2018
214
11

Spatio-temporal transcriptome of the human brain.
Hyo Jung Kang, Yuka Imamura Kawasawa, Feng Cheng, Ying Zhu, Xuming Xu, Mingfeng Li, André M M Sousa, Mihovil Pletikos, Kyle A Meyer, Goran Sedmak,[...]. Nature 2011
11

Visualization and analysis of single-cell RNA-seq data by kernel-based similarity learning.
Bo Wang, Junjie Zhu, Emma Pierson, Daniele Ramazzotti, Serafim Batzoglou. Nat Methods 2017
189
11

Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2.
Michael I Love, Wolfgang Huber, Simon Anders. Genome Biol 2014
11

Heterogeneity in Oct4 and Sox2 Targets Biases Cell Fate in 4-Cell Mouse Embryos.
Mubeen Goolam, Antonio Scialdone, Sarah J L Graham, Iain C Macaulay, Agnieszka Jedrusik, Anna Hupalowska, Thierry Voet, John C Marioni, Magdalena Zernicka-Goetz. Cell 2016
177
11

Adult mouse cortical cell taxonomy revealed by single cell transcriptomics.
Bosiljka Tasic, Vilas Menon, Thuc Nghi Nguyen, Tae Kyung Kim, Tim Jarsky, Zizhen Yao, Boaz Levi, Lucas T Gray, Staci A Sorensen, Tim Dolbeare,[...]. Nat Neurosci 2016
687
10

Challenges in unsupervised clustering of single-cell RNA-seq data.
Vladimir Yu Kiselev, Tallulah S Andrews, Martin Hemberg. Nat Rev Genet 2019
190
10


Purification and Characterization of Progenitor and Mature Human Astrocytes Reveals Transcriptional and Functional Differences with Mouse.
Ye Zhang, Steven A Sloan, Laura E Clarke, Christine Caneda, Colton A Plaza, Paul D Blumenthal, Hannes Vogel, Gary K Steinberg, Michael S B Edwards, Gordon Li,[...]. Neuron 2016
783
10


Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder.
Michael J Gandal, Pan Zhang, Evi Hadjimichael, Rebecca L Walker, Chao Chen, Shuang Liu, Hyejung Won, Harm van Bakel, Merina Varghese, Yongjun Wang,[...]. Science 2018
298
9

Gene expression elucidates functional impact of polygenic risk for schizophrenia.
Menachem Fromer, Panos Roussos, Solveig K Sieberts, Jessica S Johnson, David H Kavanagh, Thanneer M Perumal, Douglas M Ruderfer, Edwin C Oh, Aaron Topol, Hardik R Shah,[...]. Nat Neurosci 2016
447
9

limma powers differential expression analyses for RNA-sequencing and microarray studies.
Matthew E Ritchie, Belinda Phipson, Di Wu, Yifang Hu, Charity W Law, Wei Shi, Gordon K Smyth. Nucleic Acids Res 2015
9

Single-cell RNA-seq reveals dynamic, random monoallelic gene expression in mammalian cells.
Qiaolin Deng, Daniel Ramsköld, Björn Reinius, Rickard Sandberg. Science 2014
576
9

Molecular Diversity and Specializations among the Cells of the Adult Mouse Brain.
Arpiar Saunders, Evan Z Macosko, Alec Wysoker, Melissa Goldman, Fenna M Krienen, Heather de Rivera, Elizabeth Bien, Matthew Baum, Laura Bortolin, Shuyu Wang,[...]. Cell 2018
380
9

WGCNA: an R package for weighted correlation network analysis.
Peter Langfelder, Steve Horvath. BMC Bioinformatics 2008
9

The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells.
Cole Trapnell, Davide Cacchiarelli, Jonna Grimsby, Prapti Pokharel, Shuqiang Li, Michael Morse, Niall J Lennon, Kenneth J Livak, Tarjei S Mikkelsen, John L Rinn. Nat Biotechnol 2014
9

Temporal dynamics and genetic control of transcription in the human prefrontal cortex.
Carlo Colantuoni, Barbara K Lipska, Tianzhang Ye, Thomas M Hyde, Ran Tao, Jeffrey T Leek, Elizabeth A Colantuoni, Abdel G Elkahloun, Mary M Herman, Daniel R Weinberger,[...]. Nature 2011
466
8

Genetic identification of brain cell types underlying schizophrenia.
Nathan G Skene, Julien Bryois, Trygve E Bakken, Gerome Breen, James J Crowley, Héléna A Gaspar, Paola Giusti-Rodriguez, Rebecca D Hodge, Jeremy A Miller, Ana B Muñoz-Manchado,[...]. Nat Genet 2018
184
8

Robust enumeration of cell subsets from tissue expression profiles.
Aaron M Newman, Chih Long Liu, Michael R Green, Andrew J Gentles, Weiguo Feng, Yue Xu, Chuong D Hoang, Maximilian Diehn, Ash A Alizadeh. Nat Methods 2015
8

Massively parallel digital transcriptional profiling of single cells.
Grace X Y Zheng, Jessica M Terry, Phillip Belgrader, Paul Ryvkin, Zachary W Bent, Ryan Wilson, Solongo B Ziraldo, Tobias D Wheeler, Geoff P McDermott, Junjie Zhu,[...]. Nat Commun 2017
8

SCANPY: large-scale single-cell gene expression data analysis.
F Alexander Wolf, Philipp Angerer, Fabian J Theis. Genome Biol 2018
623
8

Spatial reconstruction of single-cell gene expression data.
Rahul Satija, Jeffrey A Farrell, David Gennert, Alexander F Schier, Aviv Regev. Nat Biotechnol 2015
8

Reconstructing lineage hierarchies of the distal lung epithelium using single-cell RNA-seq.
Barbara Treutlein, Doug G Brownfield, Angela R Wu, Norma F Neff, Gary L Mantalas, F Hernan Espinoza, Tushar J Desai, Mark A Krasnow, Stephen R Quake. Nature 2014
731
8

Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighbors.
Laleh Haghverdi, Aaron T L Lun, Michael D Morgan, John C Marioni. Nat Biotechnol 2018
428
8

Single-cell genomics identifies cell type-specific molecular changes in autism.
Dmitry Velmeshev, Lucas Schirmer, Diane Jung, Maximilian Haeussler, Yonatan Perez, Simone Mayer, Aparna Bhaduri, Nitasha Goyal, David H Rowitch, Arnold R Kriegstein. Science 2019
136
8

A single-cell RNA-seq survey of the developmental landscape of the human prefrontal cortex.
Suijuan Zhong, Shu Zhang, Xiaoying Fan, Qian Wu, Liying Yan, Ji Dong, Haofeng Zhang, Long Li, Le Sun, Na Pan,[...]. Nature 2018
197
8

Spatiotemporal gene expression trajectories reveal developmental hierarchies of the human cortex.
Tomasz J Nowakowski, Aparna Bhaduri, Alex A Pollen, Beatriz Alvarado, Mohammed A Mostajo-Radji, Elizabeth Di Lullo, Maximilian Haeussler, Carmen Sandoval-Espinosa, Siyuan John Liu, Dmitry Velmeshev,[...]. Science 2017
267
8

mRNA-Seq whole-transcriptome analysis of a single cell.
Fuchou Tang, Catalin Barbacioru, Yangzhou Wang, Ellen Nordman, Clarence Lee, Nanlan Xu, Xiaohui Wang, John Bodeau, Brian B Tuch, Asim Siddiqui,[...]. Nat Methods 2009
8

Single-Cell Multi-omic Integration Compares and Contrasts Features of Brain Cell Identity.
Joshua D Welch, Velina Kozareva, Ashley Ferreira, Charles Vanderburg, Carly Martin, Evan Z Macosko. Cell 2019
187
8

Developmental and genetic regulation of the human cortex transcriptome illuminate schizophrenia pathogenesis.
Andrew E Jaffe, Richard E Straub, Joo Heon Shin, Ran Tao, Yuan Gao, Leonardo Collado-Torres, Tony Kam-Thong, Hualin S Xi, Jie Quan, Qiang Chen,[...]. Nat Neurosci 2018
121
7

Using single nuclei for RNA-seq to capture the transcriptome of postmortem neurons.
Suguna Rani Krishnaswami, Rashel V Grindberg, Mark Novotny, Pratap Venepally, Benjamin Lacar, Kunal Bhutani, Sara B Linker, Son Pham, Jennifer A Erwin, Jeremy A Miller,[...]. Nat Protoc 2016
135
7

Common schizophrenia alleles are enriched in mutation-intolerant genes and in regions under strong background selection.
Antonio F Pardiñas, Peter Holmans, Andrew J Pocklington, Valentina Escott-Price, Stephan Ripke, Noa Carrera, Sophie E Legge, Sophie Bishop, Darren Cameron, Marian L Hamshere,[...]. Nat Genet 2018
506
7

Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma.
Anoop P Patel, Itay Tirosh, John J Trombetta, Alex K Shalek, Shawn M Gillespie, Hiroaki Wakimoto, Daniel P Cahill, Brian V Nahed, William T Curry, Robert L Martuza,[...]. Science 2014
7

A Single-Cell Transcriptomic Map of the Human and Mouse Pancreas Reveals Inter- and Intra-cell Population Structure.
Maayan Baron, Adrian Veres, Samuel L Wolock, Aubrey L Faust, Renaud Gaujoux, Amedeo Vetere, Jennifer Hyoje Ryu, Bridget K Wagner, Shai S Shen-Orr, Allon M Klein,[...]. Cell Syst 2016
367
7


Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.