A citation-based method for searching scientific literature

Chenling Xu, Romain Lopez, Edouard Mehlman, Jeffrey Regier, Michael I Jordan, Nir Yosef. Mol Syst Biol 2021
Times Cited: 15







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



Times Cited
  Times     Co-cited
Similarity


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
66

Deep generative modeling for single-cell transcriptomics.
Romain Lopez, Jeffrey Regier, Michael B Cole, Michael I Jordan, Nir Yosef. Nat Methods 2018
252
66

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
511
60

Fast, sensitive and accurate integration of single-cell data with Harmony.
Ilya Korsunsky, Nghia Millard, Jean Fan, Kamil Slowikowski, Fan Zhang, Kevin Wei, Yuriy Baglaenko, Michael Brenner, Po-Ru Loh, Soumya Raychaudhuri. Nat Methods 2019
454
53

Single-Cell Transcriptome Profiling of Human Pancreatic Islets in Health and Type 2 Diabetes.
Åsa Segerstolpe, Athanasia Palasantza, Pernilla Eliasson, Eva-Marie Andersson, Anne-Christine Andréasson, Xiaoyan Sun, Simone Picelli, Alan Sabirsh, Maryam Clausen, Magnus K Bjursell,[...]. Cell Metab 2016
564
53

Simultaneous epitope and transcriptome measurement in single cells.
Marlon Stoeckius, Christoph Hafemeister, William Stephenson, Brian Houck-Loomis, Pratip K Chattopadhyay, Harold Swerdlow, Rahul Satija, Peter Smibert. Nat Methods 2017
739
46

Efficient integration of heterogeneous single-cell transcriptomes using Scanorama.
Brian Hie, Bryan Bryson, Bonnie Berger. Nat Biotechnol 2019
139
46

scmap: projection of single-cell RNA-seq data across data sets.
Vladimir Yu Kiselev, Andrew Yiu, Martin Hemberg. Nat Methods 2018
191
40

Integrating single-cell transcriptomic data across different conditions, technologies, and species.
Andrew Butler, Paul Hoffman, Peter Smibert, Efthymia Papalexi, Rahul Satija. Nat Biotechnol 2018
40

A comparison of automatic cell identification methods for single-cell RNA sequencing data.
Tamim Abdelaal, Lieke Michielsen, Davy Cats, Dylan Hoogduin, Hailiang Mei, Marcel J T Reinders, Ahmed Mahfouz. Genome Biol 2019
105
40

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
421
40

Current best practices in single-cell RNA-seq analysis: a tutorial.
Malte D Luecken, Fabian J Theis. Mol Syst Biol 2019
346
33

Mapping the Mouse Cell Atlas by Microwell-Seq.
Xiaoping Han, Renying Wang, Yincong Zhou, Lijiang Fei, Huiyu Sun, Shujing Lai, Assieh Saadatpour, Ziming Zhou, Haide Chen, Fang Ye,[...]. Cell 2018
433
33


A benchmark of batch-effect correction methods for single-cell RNA sequencing data.
Hoa Thi Nhu Tran, Kok Siong Ang, Marion Chevrier, Xiaomeng Zhang, Nicole Yee Shin Lee, Michelle Goh, Jinmiao Chen. Genome Biol 2020
149
33

De Novo Prediction of Stem Cell Identity using Single-Cell Transcriptome Data.
Dominic Grün, Mauro J Muraro, Jean-Charles Boisset, Kay Wiebrands, Anna Lyubimova, Gitanjali Dharmadhikari, Maaike van den Born, Johan van Es, Erik Jansen, Hans Clevers,[...]. Cell Stem Cell 2016
233
33

A Single-Cell Transcriptome Atlas of the Human Pancreas.
Mauro J Muraro, Gitanjali Dharmadhikari, Dominic Grün, Nathalie Groen, Tim Dielen, Erik Jansen, Leon van Gurp, Marten A Engelse, Francoise Carlotti, Eelco J P de Koning,[...]. Cell Syst 2016
397
33

Single-cell transcriptomes identify human islet cell signatures and reveal cell-type-specific expression changes in type 2 diabetes.
Nathan Lawlor, Joshy George, Mohan Bolisetty, Romy Kursawe, Lili Sun, V Sivakamasundari, Ina Kycia, Paul Robson, Michael L Stitzel. Genome Res 2017
170
33

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
33

Searching large-scale scRNA-seq databases via unbiased cell embedding with Cell BLAST.
Zhi-Jie Cao, Lin Wei, Shen Lu, De-Chang Yang, Ge Gao. Nat Commun 2020
17
33

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
242
33

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
33

Construction of a human cell landscape at single-cell level.
Xiaoping Han, Ziming Zhou, Lijiang Fei, Huiyu Sun, Renying Wang, Yao Chen, Haide Chen, Jingjing Wang, Huanna Tang, Wenhao Ge,[...]. Nature 2020
181
33

BBKNN: fast batch alignment of single cell transcriptomes.
Krzysztof Polański, Matthew D Young, Zhichao Miao, Kerstin B Meyer, Sarah A Teichmann, Jong-Eun Park. Bioinformatics 2020
115
33

Challenges in unsupervised clustering of single-cell RNA-seq data.
Vladimir Yu Kiselev, Tallulah S Andrews, Martin Hemberg. Nat Rev Genet 2019
234
26


Dimensionality reduction for visualizing single-cell data using UMAP.
Etienne Becht, Leland McInnes, John Healy, Charles-Antoine Dutertre, Immanuel W H Kwok, Lai Guan Ng, Florent Ginhoux, Evan W Newell. Nat Biotechnol 2018
918
26

Supervised classification enables rapid annotation of cell atlases.
Hannah A Pliner, Jay Shendure, Cole Trapnell. Nat Methods 2019
101
26

Probabilistic cell-type assignment of single-cell RNA-seq for tumor microenvironment profiling.
Allen W Zhang, Ciara O'Flanagan, Elizabeth A Chavez, Jamie L P Lim, Nicholas Ceglia, Andrew McPherson, Matt Wiens, Pascale Walters, Tim Chan, Brittany Hewitson,[...]. Nat Methods 2019
73
26

PanglaoDB: a web server for exploration of mouse and human single-cell RNA sequencing data.
Oscar Franzén, Li-Ming Gan, Johan L M Björkegren. Database (Oxford) 2019
152
26

Systematic comparison of single-cell and single-nucleus RNA-sequencing methods.
Jiarui Ding, Xian Adiconis, Sean K Simmons, Monika S Kowalczyk, Cynthia C Hession, Nemanja D Marjanovic, Travis K Hughes, Marc H Wadsworth, Tyler Burks, Lan T Nguyen,[...]. Nat Biotechnol 2020
145
26

A curated database reveals trends in single-cell transcriptomics.
Valentine Svensson, Eduardo da Veiga Beltrame, Lior Pachter. Database (Oxford) 2020
27
26

SCANPY: large-scale single-cell gene expression data analysis.
F Alexander Wolf, Philipp Angerer, Fabian J Theis. Genome Biol 2018
812
26

Single-cell RNA-seq denoising using a deep count autoencoder.
Gökcen Eraslan, Lukas M Simon, Maria Mircea, Nikola S Mueller, Fabian J Theis. Nat Commun 2019
189
26

Joint probabilistic modeling of single-cell multi-omic data with totalVI.
Adam Gayoso, Zoë Steier, Romain Lopez, Jeffrey Regier, Kristopher L Nazor, Aaron Streets, Nir Yosef. Nat Methods 2021
16
26

scGen predicts single-cell perturbation responses.
Mohammad Lotfollahi, F Alexander Wolf, Fabian J Theis. Nat Methods 2019
37
26

Intra- and Inter-cellular Rewiring of the Human Colon during Ulcerative Colitis.
Christopher S Smillie, Moshe Biton, Jose Ordovas-Montanes, Keri M Sullivan, Grace Burgin, Daniel B Graham, Rebecca H Herbst, Noga Rogel, Michal Slyper, Julia Waldman,[...]. Cell 2019
237
26

A comparison of single-cell trajectory inference methods.
Wouter Saelens, Robrecht Cannoodt, Helena Todorov, Yvan Saeys. Nat Biotechnol 2019
319
26

Eleven grand challenges in single-cell data science.
David Lähnemann, Johannes Köster, Ewa Szczurek, Davis J McCarthy, Stephanie C Hicks, Mark D Robinson, Catalina A Vallejos, Kieran R Campbell, Niko Beerenwinkel, Ahmed Mahfouz,[...]. Genome Biol 2020
171
26

scCATCH: Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data.
Xin Shao, Jie Liao, Xiaoyan Lu, Rui Xue, Ni Ai, Xiaohui Fan. iScience 2020
31
20

Molecular Architecture of the Mouse Nervous System.
Amit Zeisel, Hannah Hochgerner, Peter Lönnerberg, Anna Johnsson, Fatima Memic, Job van der Zwan, Martin Häring, Emelie Braun, Lars E Borm, Gioele La Manno,[...]. Cell 2018
755
20

scPred: accurate supervised method for cell-type classification from single-cell RNA-seq data.
Jose Alquicira-Hernandez, Anuja Sathe, Hanlee P Ji, Quan Nguyen, Joseph E Powell. Genome Biol 2019
44
20


scMatch: a single-cell gene expression profile annotation tool using reference datasets.
Rui Hou, Elena Denisenko, Alistair R R Forrest. Bioinformatics 2019
31
20

SCSA: A Cell Type Annotation Tool for Single-Cell RNA-seq Data.
Yinghao Cao, Xiaoyue Wang, Gongxin Peng. Front Genet 2020
15
20

CellMarker: a manually curated resource of cell markers in human and mouse.
Xinxin Zhang, Yujia Lan, Jinyuan Xu, Fei Quan, Erjie Zhao, Chunyu Deng, Tao Luo, Liwen Xu, Gaoming Liao, Min Yan,[...]. Nucleic Acids Res 2019
192
20

CHETAH: a selective, hierarchical cell type identification method for single-cell RNA sequencing.
Jurrian K de Kanter, Philip Lijnzaad, Tito Candelli, Thanasis Margaritis, Frank C P Holstege. Nucleic Acids Res 2019
46
20

Reference-based analysis of lung single-cell sequencing reveals a transitional profibrotic macrophage.
Dvir Aran, Agnieszka P Looney, Leqian Liu, Esther Wu, Valerie Fong, Austin Hsu, Suzanna Chak, Ram P Naikawadi, Paul J Wolters, Adam R Abate,[...]. Nat Immunol 2019
466
20

Data denoising with transfer learning in single-cell transcriptomics.
Jingshu Wang, Divyansh Agarwal, Mo Huang, Gang Hu, Zilu Zhou, Chengzhong Ye, Nancy R Zhang. Nat Methods 2019
42
20

Deep learning enables accurate clustering with batch effect removal in single-cell RNA-seq analysis.
Xiangjie Li, Kui Wang, Yafei Lyu, Huize Pan, Jingxiao Zhang, Dwight Stambolian, Katalin Susztak, Muredach P Reilly, Gang Hu, Mingyao Li. Nat Commun 2020
39
20


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.