Neil R. Clark

10.2k total citations · 1 hit paper
27 papers, 5.7k citations indexed

About

Neil R. Clark is a scholar working on Molecular Biology, Computational Theory and Mathematics and Biophysics. According to data from OpenAlex, Neil R. Clark has authored 27 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 7 papers in Computational Theory and Mathematics and 3 papers in Biophysics. Recurrent topics in Neil R. Clark's work include Bioinformatics and Genomic Networks (12 papers), Computational Drug Discovery Methods (7 papers) and Gene Regulatory Network Analysis (7 papers). Neil R. Clark is often cited by papers focused on Bioinformatics and Genomic Networks (12 papers), Computational Drug Discovery Methods (7 papers) and Gene Regulatory Network Analysis (7 papers). Neil R. Clark collaborates with scholars based in United States, United Kingdom and Bermuda. Neil R. Clark's co-authors include Avi Ma’ayan, Zichen Wang, Qiaonan Duan, Yan Kou, Edward Y. Chen, Christopher M. Tan, Gabriela Vaz Meirelles, Andrew D. Rouillard, Kevin Hu and Ruth Dannenfelser and has published in prestigious journals such as The EMBO Journal, Bioinformatics and PLoS ONE.

In The Last Decade

Neil R. Clark

26 papers receiving 5.7k citations

Hit Papers

Enrichr: interactive and ... 2013 2026 2017 2021 2013 1000 2.0k 3.0k 4.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Neil R. Clark 3.6k 846 778 555 544 27 5.7k
Edward Y. Chen 3.4k 1.0× 830 1.0× 763 1.0× 567 1.0× 531 1.0× 15 5.5k
Christopher M. Tan 3.8k 1.1× 803 0.9× 843 1.1× 537 1.0× 591 1.1× 40 6.1k
Gabriela Vaz Meirelles 3.9k 1.1× 947 1.1× 852 1.1× 651 1.2× 624 1.1× 18 6.7k
Max Franz 3.6k 1.0× 917 1.1× 596 0.8× 627 1.1× 569 1.0× 13 5.6k
Christian Lopes 3.5k 1.0× 917 1.1× 595 0.8× 625 1.1× 569 1.0× 8 5.5k
Marc Legeay 3.3k 0.9× 876 1.0× 592 0.8× 461 0.8× 453 0.8× 6 5.3k
Simon Koplev 4.0k 1.1× 1.2k 1.4× 1.1k 1.4× 657 1.2× 690 1.3× 18 6.6k
Ruth Isserlin 2.9k 0.8× 666 0.8× 553 0.7× 368 0.7× 481 0.9× 40 4.7k
Caroline D. Monteiro 4.5k 1.3× 1.3k 1.5× 1.1k 1.4× 713 1.3× 768 1.4× 6 7.1k
Jason Montojo 3.1k 0.9× 897 1.1× 602 0.8× 617 1.1× 572 1.1× 7 5.0k

Countries citing papers authored by Neil R. Clark

Since Specialization
Citations

This map shows the geographic impact of Neil R. Clark's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Neil R. Clark with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil R. Clark more than expected).

Fields of papers citing papers by Neil R. Clark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neil R. Clark. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Neil R. Clark. The network helps show where Neil R. Clark may publish in the future.

Co-authorship network of co-authors of Neil R. Clark

This figure shows the co-authorship network connecting the top 25 collaborators of Neil R. Clark. A scholar is included among the top collaborators of Neil R. Clark based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Neil R. Clark. Neil R. Clark is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
McGivern, K, Thomas M Drake, Stephen R Knight, et al.. (2023). Applying artificial intelligence to big data in hepatopancreatic and biliary surgery: a scoping review. Edinburgh Research Explorer (University of Edinburgh). 3(1). 27–47. 6 indexed citations
2.
Sun, Bin, Neil R. Clark, Tamara Sirey, et al.. (2018). The long non‐coding RNA Paupar promotes KAP 1‐dependent chromatin changes and regulates olfactory bulb neurogenesis. The EMBO Journal. 37(10). 50 indexed citations
3.
Hodos, Rachel, Ping Zhang, Hao-Chih Lee, et al.. (2017). Cell-specific prediction and application of drug-induced gene expression profiles. Europe PMC (PubMed Central). 32–43. 15 indexed citations
4.
Morgan, David J., Toryn Poolman, Andrew J.K. Williamson, et al.. (2016). Glucocorticoid receptor isoforms direct distinct mitochondrial programs to regulate ATP production. Scientific Reports. 6(1). 26419–26419. 38 indexed citations
5.
Duan, Qiaonan, St. Patrick Reid, Neil R. Clark, et al.. (2016). L1000CDS2: LINCS L1000 characteristic direction signatures search engine. npj Systems Biology and Applications. 2(1). 228 indexed citations
6.
Wang, Zichen, Caroline D. Monteiro, Kathleen M. Jagodnik, et al.. (2016). Extraction and analysis of signatures from the Gene Expression Omnibus by the crowd. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 5. 10 indexed citations
7.
Wang, Zichen, Neil R. Clark, & Avi Ma’ayan. (2016). Drug-induced adverse events prediction with the LINCS L1000 data. Bioinformatics. 32(15). 2338–2345. 122 indexed citations
8.
Clark, Neil R., et al.. (2015). Principle Angle Enrichment Analysis (PAEA): Dimensionally reduced multivariate gene set enrichment analysis tool. PubMed. 2015. 256–262. 11 indexed citations
9.
Wang, Zichen, Neil R. Clark, & Avi Ma’ayan. (2015). Dynamics of the discovery process of protein-protein interactions from low content studies. BMC Systems Biology. 9(1). 26–26. 13 indexed citations
10.
Clark, Neil R., Kevin Hu, Yan Kou, et al.. (2014). The characteristic direction: a geometrical approach to identify differentially expressed genes. BMC Bioinformatics. 15(1). 79–79. 123 indexed citations
11.
Hays, Thomas, Avi Ma’ayan, Neil R. Clark, et al.. (2014). Proteomics Analysis of the Non-Muscle Myosin Heavy Chain IIa-Enriched Actin-Myosin Complex Reveals Multiple Functions within the Podocyte. PLoS ONE. 9(6). e100660–e100660. 12 indexed citations
12.
Ma’ayan, Avi, Andrew D. Rouillard, Neil R. Clark, et al.. (2014). Lean Big Data integration in systems biology and systems pharmacology. Trends in Pharmacological Sciences. 35(9). 450–460. 67 indexed citations
13.
Liscio, Paride, Andrea Carotti, Stefania Asciutti, et al.. (2014). Scaffold hopping approach on the route to selective tankyrase inhibitors. European Journal of Medicinal Chemistry. 87. 611–623. 15 indexed citations
14.
Pereira, Carlos‐Filipe, Betty Chang, Jiajing Qiu, et al.. (2013). Induction of a Hemogenic Program in Mouse Fibroblasts. Cell stem cell. 13(2). 205–218. 158 indexed citations
15.
Chen, Edward Y., Christopher M. Tan, Yan Kou, et al.. (2013). Enrichr: interactive and collaborative HTML5 gene list enrichment analysis tool. BMC Bioinformatics. 14(1). 128–128. 4574 indexed citations breakdown →
16.
Zhong, Yifei, Edward Y. Chen, Ruijie Liu, et al.. (2013). Renoprotective Effect of Combined Inhibition of Angiotensin-Converting Enzyme and Histone Deacetylase. Journal of the American Society of Nephrology. 24(5). 801–811. 46 indexed citations
17.
Clark, Neil R., et al.. (2012). Sets2Networks: network inference from repeated observations of sets. BMC Systems Biology. 6(1). 89–89. 12 indexed citations
18.
Dannenfelser, Ruth, Neil R. Clark, & Avi Ma’ayan. (2012). Genes2FANs: connecting genes through functional association networks. BMC Bioinformatics. 13(1). 156–156. 24 indexed citations
19.
Mazloom, Amin R., Ruth Dannenfelser, Neil R. Clark, et al.. (2011). Recovering Protein-Protein and Domain-Domain Interactions from Aggregation of IP-MS Proteomics of Coregulator Complexes. PLoS Computational Biology. 7(12). e1002319–e1002319. 13 indexed citations
20.
Forrest, James & Neil R. Clark. (1989). Characterizing grain size distributions: evaluation of a new approach using a multivariate extension of entropy analysis. Sedimentology. 36(4). 711–722. 30 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026