A citation-based method for searching scientific literature

Damian Szklarczyk, Annika L Gable, David Lyon, Alexander Junge, Stefan Wyder, Jaime Huerta-Cepas, Milan Simonovic, Nadezhda T Doncheva, John H Morris, Peer Bork, Lars J Jensen, Christian von Mering. Nucleic Acids Res 2019
Times Cited: 3567







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



Times Cited
  Times     Co-cited
Similarity


Cytoscape: a software environment for integrated models of biomolecular interaction networks.
Paul Shannon, Andrew Markiel, Owen Ozier, Nitin S Baliga, Jonathan T Wang, Daniel Ramage, Nada Amin, Benno Schwikowski, Trey Ideker. Genome Res 2003
25

Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources.
Da Wei Huang, Brad T Sherman, Richard A Lempicki. Nat Protoc 2009
16

KEGG: kyoto encyclopedia of genes and genomes.
M Kanehisa, S Goto. Nucleic Acids Res 2000
12

Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists.
Da Wei Huang, Brad T Sherman, Richard A Lempicki. Nucleic Acids Res 2009
11

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

DrugBank 5.0: a major update to the DrugBank database for 2018.
David S Wishart, Yannick D Feunang, An C Guo, Elvis J Lo, Ana Marcu, Jason R Grant, Tanvir Sajed, Daniel Johnson, Carin Li, Zinat Sayeeda,[...]. Nucleic Acids Res 2018
8

Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2.
Michael I Love, Wolfgang Huber, Simon Anders. Genome Biol 2014
8

clusterProfiler: an R package for comparing biological themes among gene clusters.
Guangchuang Yu, Li-Gen Wang, Yanyan Han, Qing-Yu He. OMICS 2012
7



Gene ontology: tool for the unification of biology. The Gene Ontology Consortium.
M Ashburner, C A Ball, J A Blake, D Botstein, H Butler, J M Cherry, A P Davis, K Dolinski, S S Dwight, J T Eppig,[...]. Nat Genet 2000
6

Proteomics. Tissue-based map of the human proteome.
Mathias Uhlén, Linn Fagerberg, Björn M Hallström, Cecilia Lindskog, Per Oksvold, Adil Mardinoglu, Åsa Sivertsson, Caroline Kampf, Evelina Sjöstedt, Anna Asplund,[...]. Science 2015
6

Metascape provides a biologist-oriented resource for the analysis of systems-level datasets.
Yingyao Zhou, Bin Zhou, Lars Pache, Max Chang, Alireza Hadj Khodabakhshi, Olga Tanaseichuk, Christopher Benner, Sumit K Chanda. Nat Commun 2019
6

The STRING database in 2017: quality-controlled protein-protein association networks, made broadly accessible.
Damian Szklarczyk, John H Morris, Helen Cook, Michael Kuhn, Stefan Wyder, Milan Simonovic, Alberto Santos, Nadezhda T Doncheva, Alexander Roth, Peer Bork,[...]. Nucleic Acids Res 2017
5

Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.
Aravind Subramanian, Pablo Tamayo, Vamsi K Mootha, Sayan Mukherjee, Benjamin L Ebert, Michael A Gillette, Amanda Paulovich, Scott L Pomeroy, Todd R Golub, Eric S Lander,[...]. Proc Natl Acad Sci U S A 2005
5

PubChem 2019 update: improved access to chemical data.
Sunghwan Kim, Jie Chen, Tiejun Cheng, Asta Gindulyte, Jia He, Siqian He, Qingliang Li, Benjamin A Shoemaker, Paul A Thiessen, Bo Yu,[...]. Nucleic Acids Res 2019
840
5

edgeR: a Bioconductor package for differential expression analysis of digital gene expression data.
Mark D Robinson, Davis J McCarthy, Gordon K Smyth. Bioinformatics 2010
5

cytoHubba: identifying hub objects and sub-networks from complex interactome.
Chia-Hao Chin, Shu-Hwa Chen, Hsin-Hung Wu, Chin-Wen Ho, Ming-Tat Ko, Chung-Yen Lin. BMC Syst Biol 2014
867
4

WGCNA: an R package for weighted correlation network analysis.
Peter Langfelder, Steve Horvath. BMC Bioinformatics 2008
4

STRING v10: protein-protein interaction networks, integrated over the tree of life.
Damian Szklarczyk, Andrea Franceschini, Stefan Wyder, Kristoffer Forslund, Davide Heller, Jaime Huerta-Cepas, Milan Simonovic, Alexander Roth, Alberto Santos, Kalliopi P Tsafou,[...]. Nucleic Acids Res 2015
4

The biology, function, and biomedical applications of exosomes.
Raghu Kalluri, Valerie S LeBleu. Science 2020
805
4

GEPIA2: an enhanced web server for large-scale expression profiling and interactive analysis.
Zefang Tang, Boxi Kang, Chenwei Li, Tianxiang Chen, Zemin Zhang. Nucleic Acids Res 2019
472
4

g:Profiler: a web server for functional enrichment analysis and conversions of gene lists (2019 update).
Uku Raudvere, Liis Kolberg, Ivan Kuzmin, Tambet Arak, Priit Adler, Hedi Peterson, Jaak Vilo. Nucleic Acids Res 2019
692
4

UALCAN: A Portal for Facilitating Tumor Subgroup Gene Expression and Survival Analyses.
Darshan S Chandrashekar, Bhuwan Bashel, Sai Akshaya Hodigere Balasubramanya, Chad J Creighton, Israel Ponce-Rodriguez, Balabhadrapatruni V S K Chakravarthi, Sooryanarayana Varambally. Neoplasia 2017
4

Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.
Freddie Bray, Jacques Ferlay, Isabelle Soerjomataram, Rebecca L Siegel, Lindsey A Torre, Ahmedin Jemal. CA Cancer J Clin 2018
4

GEPIA: a web server for cancer and normal gene expression profiling and interactive analyses.
Zefang Tang, Chenwei Li, Boxi Kang, Ge Gao, Cheng Li, Zemin Zhang. Nucleic Acids Res 2017
4

The Cancer Genome Atlas (TCGA): an immeasurable source of knowledge.
Katarzyna Tomczak, Patrycja Czerwińska, Maciej Wiznerowicz. Contemp Oncol (Pozn) 2015
4

The GeneCards Suite: From Gene Data Mining to Disease Genome Sequence Analyses.
Gil Stelzer, Naomi Rosen, Inbar Plaschkes, Shahar Zimmerman, Michal Twik, Simon Fishilevich, Tsippi Iny Stein, Ron Nudel, Iris Lieder, Yaron Mazor,[...]. Curr Protoc Bioinformatics 2016
678
4

A ceRNA hypothesis: the Rosetta Stone of a hidden RNA language?
Leonardo Salmena, Laura Poliseno, Yvonne Tay, Lev Kats, Pier Paolo Pandolfi. Cell 2011
4

The Perseus computational platform for comprehensive analysis of (prote)omics data.
Stefka Tyanova, Tikira Temu, Pavel Sinitcyn, Arthur Carlson, Marco Y Hein, Tamar Geiger, Matthias Mann, Jürgen Cox. Nat Methods 2016
3

NCBI GEO: archive for functional genomics data sets--update.
Tanya Barrett, Stephen E Wilhite, Pierre Ledoux, Carlos Evangelista, Irene F Kim, Maxim Tomashevsky, Kimberly A Marshall, Katherine H Phillippy, Patti M Sherman, Michelle Holko,[...]. Nucleic Acids Res 2013
3

WikiPathways: a multifaceted pathway database bridging metabolomics to other omics research.
Denise N Slenter, Martina Kutmon, Kristina Hanspers, Anders Riutta, Jacob Windsor, Nuno Nunes, Jonathan Mélius, Elisa Cirillo, Susan L Coort, Daniela Digles,[...]. Nucleic Acids Res 2018
316
3

PLINK: a tool set for whole-genome association and population-based linkage analyses.
Shaun Purcell, Benjamin Neale, Kathe Todd-Brown, Lori Thomas, Manuel A R Ferreira, David Bender, Julian Maller, Pamela Sklar, Paul I W de Bakker, Mark J Daly,[...]. Am J Hum Genet 2007
3

Gene Expression Omnibus: NCBI gene expression and hybridization array data repository.
Ron Edgar, Michael Domrachev, Alex E Lash. Nucleic Acids Res 2002
3

Bayesian test for colocalisation between pairs of genetic association studies using summary statistics.
Claudia Giambartolomei, Damjan Vukcevic, Eric E Schadt, Lude Franke, Aroon D Hingorani, Chris Wallace, Vincent Plagnol. PLoS Genet 2014
546
3


TCMSP: a database of systems pharmacology for drug discovery from herbal medicines.
Jinlong Ru, Peng Li, Jinan Wang, Wei Zhou, Bohui Li, Chao Huang, Pidong Li, Zihu Guo, Weiyang Tao, Yinfeng Yang,[...]. J Cheminform 2014
863
3

KEGG: new perspectives on genomes, pathways, diseases and drugs.
Minoru Kanehisa, Miho Furumichi, Mao Tanabe, Yoko Sato, Kanae Morishima. Nucleic Acids Res 2017
3

Lethality and centrality in protein networks.
H Jeong, S P Mason, A L Barabási, Z N Oltvai. Nature 2001
3

Adjusting batch effects in microarray expression data using empirical Bayes methods.
W Evan Johnson, Cheng Li, Ariel Rabinovic. Biostatistics 2007
3

PANTHER: a library of protein families and subfamilies indexed by function.
Paul D Thomas, Michael J Campbell, Anish Kejariwal, Huaiyu Mi, Brian Karlak, Robin Daverman, Karen Diemer, Anushya Muruganujan, Apurva Narechania. Genome Res 2003
3

Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
S F Altschul, T L Madden, A A Schäffer, J Zhang, Z Zhang, W Miller, D J Lipman. Nucleic Acids Res 1997
3

FlyBase 2.0: the next generation.
Jim Thurmond, Joshua L Goodman, Victor B Strelets, Helen Attrill, L Sian Gramates, Steven J Marygold, Beverley B Matthews, Gillian Millburn, Giulia Antonazzo, Vitor Trovisco,[...]. Nucleic Acids Res 2019
323
3

A SARS-CoV-2 protein interaction map reveals targets for drug repurposing.
David E Gordon, Gwendolyn M Jang, Mehdi Bouhaddou, Jiewei Xu, Kirsten Obernier, Kris M White, Matthew J O'Meara, Veronica V Rezelj, Jeffrey Z Guo, Danielle L Swaney,[...]. Nature 2020
3

Protein-protein interaction detection: methods and analysis.
V Srinivasa Rao, K Srinivas, G N Sujini, G N Sunand Kumar. Int J Proteomics 2014
198
3

Pathway Commons, a web resource for biological pathway data.
Ethan G Cerami, Benjamin E Gross, Emek Demir, Igor Rodchenkov, Ozgün Babur, Nadia Anwar, Nikolaus Schultz, Gary D Bader, Chris Sander. Nucleic Acids Res 2011
627
3

Pathway Commons 2019 Update: integration, analysis and exploration of pathway data.
Igor Rodchenkov, Ozgun Babur, Augustin Luna, Bulent Arman Aksoy, Jeffrey V Wong, Dylan Fong, Max Franz, Metin Can Siper, Manfred Cheung, Michael Wrana,[...]. Nucleic Acids Res 2020
53
5


DGIdb 3.0: a redesign and expansion of the drug-gene interaction database.
Kelsy C Cotto, Alex H Wagner, Yang-Yang Feng, Susanna Kiwala, Adam C Coffman, Gregory Spies, Alex Wollam, Nicholas C Spies, Obi L Griffith, Malachi Griffith. Nucleic Acids Res 2018
296
3

HTSeq--a Python framework to work with high-throughput sequencing data.
Simon Anders, Paul Theodor Pyl, Wolfgang Huber. Bioinformatics 2015
3


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.