A citation-based method for searching scientific literature

Vladimir Yu Kiselev, Andrew Yiu, Martin Hemberg. Nat Methods 2018
Times Cited: 179







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



Times Cited
  Times     Co-cited
Similarity


RNA imaging. Spatially resolved, highly multiplexed RNA profiling in single cells.
Kok Hao Chen, Alistair N Boettiger, Jeffrey R Moffitt, Siyuan Wang, Xiaowei Zhuang. Science 2015
679
6

Visualizing structure and transitions in high-dimensional biological data.
Kevin R Moon, David van Dijk, Zheng Wang, Scott Gigante, Daniel B Burkhardt, William S Chen, Kristina Yim, Antonia van den Elzen, Matthew J Hirn, Ronald R Coifman,[...]. Nat Biotechnol 2019
96
6

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
6

Lung Single-Cell Signaling Interaction Map Reveals Basophil Role in Macrophage Imprinting.
Merav Cohen, Amir Giladi, Anna-Dorothea Gorki, Dikla Gelbard Solodkin, Mor Zada, Anastasiya Hladik, Andras Miklosi, Tomer-Meir Salame, Keren Bahar Halpern, Eyal David,[...]. Cell 2018
153
6

Single-Cell Multiomics: Multiple Measurements from Single Cells.
Iain C Macaulay, Chris P Ponting, Thierry Voet. Trends Genet 2017
217
6

Single-cell chromatin accessibility reveals principles of regulatory variation.
Jason D Buenrostro, Beijing Wu, Ulrike M Litzenburger, Dave Ruff, Michael L Gonzales, Michael P Snyder, Howard Y Chang, William J Greenleaf. Nature 2015
777
6

Cell Hashing with barcoded antibodies enables multiplexing and doublet detection for single cell genomics.
Marlon Stoeckius, Shiwei Zheng, Brian Houck-Loomis, Stephanie Hao, Bertrand Z Yeung, William M Mauck, Peter Smibert, Rahul Satija. Genome Biol 2018
188
6

Single-cell mRNA quantification and differential analysis with Census.
Xiaojie Qiu, Andrew Hill, Jonathan Packer, Dejun Lin, Yi-An Ma, Cole Trapnell. Nat Methods 2017
398
6


Integrative analysis of single-cell genomics data by coupled nonnegative matrix factorizations.
Zhana Duren, Xi Chen, Mahdi Zamanighomi, Wanwen Zeng, Ansuman T Satpathy, Howard Y Chang, Yong Wang, Wing Hung Wong. Proc Natl Acad Sci U S A 2018
52
11

High-definition spatial transcriptomics for in situ tissue profiling.
Sanja Vickovic, Gökcen Eraslan, Fredrik Salmén, Johanna Klughammer, Linnea Stenbeck, Denis Schapiro, Tarmo Äijö, Richard Bonneau, Ludvig Bergenstråhle, José Fernandéz Navarro,[...]. Nat Methods 2019
177
6

Single-cell spatial reconstruction reveals global division of labour in the mammalian liver.
Keren Bahar Halpern, Rom Shenhav, Orit Matcovitch-Natan, Beata Toth, Doron Lemze, Matan Golan, Efi E Massasa, Shaked Baydatch, Shanie Landen, Andreas E Moor,[...]. Nature 2017
353
6

Evaluation of single-cell classifiers for single-cell RNA sequencing data sets.
Xinlei Zhao, Shuang Wu, Nan Fang, Xiao Sun, Jue Fan. Brief Bioinform 2020
13
46

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
25
24

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
126
6

Single-cell RNA sequencing to explore immune cell heterogeneity.
Efthymia Papalexi, Rahul Satija. Nat Rev Immunol 2018
366
6

GiniClust: detecting rare cell types from single-cell gene expression data with Gini index.
Lan Jiang, Huidong Chen, Luca Pinello, Guo-Cheng Yuan. Genome Biol 2016
99
5

A multitask clustering approach for single-cell RNA-seq analysis in Recessive Dystrophic Epidermolysis Bullosa.
Huanan Zhang, Catherine A A Lee, Zhuliu Li, John R Garbe, Cindy R Eide, Raphael Petegrosso, Rui Kuang, Jakub Tolar. PLoS Comput Biol 2018
14
35

Characterization of the single-cell transcriptional landscape by highly multiplex RNA-seq.
Saiful Islam, Una Kjällquist, Annalena Moliner, Pawel Zajac, Jian-Bing Fan, Peter Lönnerberg, Sten Linnarsson. Genome Res 2011
478
5

BASiCS: Bayesian Analysis of Single-Cell Sequencing Data.
Catalina A Vallejos, John C Marioni, Sylvia Richardson. PLoS Comput Biol 2015
130
5

A Cancer Cell Program Promotes T Cell Exclusion and Resistance to Checkpoint Blockade.
Livnat Jerby-Arnon, Parin Shah, Michael S Cuoco, Christopher Rodman, Mei-Ju Su, Johannes C Melms, Rachel Leeson, Abhay Kanodia, Shaolin Mei, Jia-Ren Lin,[...]. Cell 2018
323
5

Comparison of clustering tools in R for medium-sized 10x Genomics single-cell RNA-sequencing data.
Saskia Freytag, Luyi Tian, Ingrid Lönnstedt, Milica Ng, Melanie Bahlo. F1000Res 2018
60
8

Evaluation of tools for highly variable gene discovery from single-cell RNA-seq data.
Shun H Yip, Pak Chung Sham, Junwen Wang. Brief Bioinform 2019
35
14

f-scLVM: scalable and versatile factor analysis for single-cell RNA-seq.
Florian Buettner, Naruemon Pratanwanich, Davis J McCarthy, John C Marioni, Oliver Stegle. Genome Biol 2017
46
10


Orchestrating single-cell analysis with Bioconductor.
Robert A Amezquita, Aaron T L Lun, Etienne Becht, Vince J Carey, Lindsay N Carpp, Ludwig Geistlinger, Federico Marini, Kevin Rue-Albrecht, Davide Risso, Charlotte Soneson,[...]. Nat Methods 2020
71
7


clusterProfiler: an R package for comparing biological themes among gene clusters.
Guangchuang Yu, Li-Gen Wang, Yanyan Han, Qing-Yu He. OMICS 2012
5

cellHarmony: cell-level matching and holistic comparison of single-cell transcriptomes.
Erica A K DePasquale, Daniel Schnell, Phillip Dexheimer, Kyle Ferchen, Stuart Hay, Kashish Chetal, Íñigo Valiente-Alandí, Burns C Blaxall, H Leighton Grimes, Nathan Salomonis. Nucleic Acids Res 2019
23
21


BERMUDA: a novel deep transfer learning method for single-cell RNA sequencing batch correction reveals hidden high-resolution cellular subtypes.
Tongxin Wang, Travis S Johnson, Wei Shao, Zixiao Lu, Bryan R Helm, Jie Zhang, Kun Huang. Genome Biol 2019
28
17

A systematic evaluation of single cell RNA-seq analysis pipelines.
Beate Vieth, Swati Parekh, Christoph Ziegenhain, Wolfgang Enard, Ines Hellmann. Nat Commun 2019
77
6

DeepImpute: an accurate, fast, and scalable deep neural network method to impute single-cell RNA-seq data.
Cédric Arisdakessian, Olivier Poirion, Breck Yunits, Xun Zhu, Lana X Garmire. Genome Biol 2019
42
11

SpatialDE: identification of spatially variable genes.
Valentine Svensson, Sarah A Teichmann, Oliver Stegle. Nat Methods 2018
66
7


LAmbDA: label ambiguous domain adaptation dataset integration reduces batch effects and improves subtype detection.
Travis S Johnson, Tongxin Wang, Zhi Huang, Christina Y Yu, Yi Wu, Yatong Han, Yan Zhang, Kun Huang, Jie Zhang. Bioinformatics 2019
10
50

Three-dimensional intact-tissue sequencing of single-cell transcriptional states.
Xiao Wang, William E Allen, Matthew A Wright, Emily L Sylwestrak, Nikolay Samusik, Sam Vesuna, Kathryn Evans, Cindy Liu, Charu Ramakrishnan, Jia Liu,[...]. Science 2018
303
5

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
40
12

Cell type atlas and lineage tree of a whole complex animal by single-cell transcriptomics.
Mireya Plass, Jordi Solana, F Alexander Wolf, Salah Ayoub, Aristotelis Misios, Petar Glažar, Benedikt Obermayer, Fabian J Theis, Christine Kocks, Nikolaus Rajewsky. Science 2018
171
5

Landscape of Infiltrating T Cells in Liver Cancer Revealed by Single-Cell Sequencing.
Chunhong Zheng, Liangtao Zheng, Jae-Kwang Yoo, Huahu Guo, Yuanyuan Zhang, Xinyi Guo, Boxi Kang, Ruozhen Hu, Julie Y Huang, Qiming Zhang,[...]. Cell 2017
657
5

Single-Cell Transcriptomic Analysis of Primary and Metastatic Tumor Ecosystems in Head and Neck Cancer.
Sidharth V Puram, Itay Tirosh, Anuraag S Parikh, Anoop P Patel, Keren Yizhak, Shawn Gillespie, Christopher Rodman, Christina L Luo, Edmund A Mroz, Kevin S Emerick,[...]. Cell 2017
628
5

Gene expression cartography.
Mor Nitzan, Nikos Karaiskos, Nir Friedman, Nikolaus Rajewsky. Nature 2019
65
7

The sva package for removing batch effects and other unwanted variation in high-throughput experiments.
Jeffrey T Leek, W Evan Johnson, Hilary S Parker, Andrew E Jaffe, John D Storey. Bioinformatics 2012
5

CellPhoneDB: inferring cell-cell communication from combined expression of multi-subunit ligand-receptor complexes.
Mirjana Efremova, Miquel Vento-Tormo, Sarah A Teichmann, Roser Vento-Tormo. Nat Protoc 2020
253
5

Single-cell trajectory detection uncovers progression and regulatory coordination in human B cell development.
Sean C Bendall, Kara L Davis, El-Ad David Amir, Michelle D Tadmor, Erin F Simonds, Tiffany J Chen, Daniel K Shenfeld, Garry P Nolan, Dana Pe'er. Cell 2014
482
5

SciBet as a portable and fast single cell type identifier.
Chenwei Li, Baolin Liu, Boxi Kang, Zedao Liu, Yedan Liu, Changya Chen, Xianwen Ren, Zemin Zhang. Nat Commun 2020
12
41

Iterative transfer learning with neural network for clustering and cell type classification in single-cell RNA-seq analysis.
Jian Hu, Xiangjie Li, Gang Hu, Yafei Lyu, Katalin Susztak, Mingyao Li. Nat Mach Intell 2020
7
71

A single-cell molecular map of mouse gastrulation and early organogenesis.
Blanca Pijuan-Sala, Jonathan A Griffiths, Carolina Guibentif, Tom W Hiscock, Wajid Jawaid, Fernando J Calero-Nieto, Carla Mulas, Ximena Ibarra-Soria, Richard C V Tyser, Debbie Lee Lian Ho,[...]. Nature 2019
189
5

A survey of human brain transcriptome diversity at the single cell level.
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
549
5

Exploring single-cell data with deep multitasking neural networks.
Matthew Amodio, David van Dijk, Krishnan Srinivasan, William S Chen, Hussein Mohsen, Kevin R Moon, Allison Campbell, Yujiao Zhao, Xiaomei Wang, Manjunatha Venkataswamy,[...]. Nat Methods 2019
56
8


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.