Simon Koplev

15.8k citations
18 papers · 6.6k indexed · 1 hit paper · h-index 14

Simon Koplev

17 papers receiving 6.6k citations

Hit Papers

Enrichr: a comprehensive gene set enrichment analysis web...6.1k20162026201920222.0k4.0k6.0k

Peers

Simon Koplev
Comparison fields: 5 of 143
  • Cancer Research 1.2k
  • Molecular Biology 4.0k
  • Immunology 1.1k
  • Aging 68
  • Biological Psychiatry 81
Replace Caroline D. Monteiro with:
Caroline D. Monteiro United States
Gregory W. Gundersen United States
Andrew D. Rouillard United States
Maxim V. Kuleshov United States
Sherry L. Jenkins United States
Neil R. Clark United States
Nicolas Fernandez United States
Christopher M. Tan United States
Edward Y. Chen United States
Simon Koplev relative to Caroline D. Monteiro United States Caroline D. Monteiro's profile →
Citations per field
00.5×1.5×
Caroline D. Monteiro · 1×
Citations per year

Countries citing papers authored by Simon Koplev

Since Specialization
Citations

This map shows the geographic impact of Simon Koplev'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 Simon Koplev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Koplev more than expected).

Fields of papers citing papers by Simon Koplev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon Koplev. 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 Simon Koplev. The network helps show where Simon Koplev may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Simon Koplev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Simon Koplev Line = papers co-authored together Simon Koplev links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 20241
2 20233
3 202220
4 202173
5 202120
6 20210
7 201931
8 201910
9 2018156
10 201825
11 201823
12 201827
13 201826
14 201834
15 201722
16 201716
17
Enrichr: a comprehensive gene set enrichment analysis web server 2016 updatebreakdown →
20166065
18 201626

About Simon Koplev

Simon Koplev is a scholar working on Immunology, Modeling and Simulation, Virology, Emergency Medicine and Genetics, having authored 18 papers that have together received 6.6k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (8 papers), Bioinformatics and Genomic Networks (6 papers), Single-cell and spatial transcriptomics (3 papers), Immune cells in cancer (3 papers), Genetic Associations and Epidemiology (2 papers), Mesenchymal stem cell research (2 papers), CRISPR and Genetic Engineering (2 papers) and Cardiomyopathy and Myosin Studies (2 papers). The work is most often cited by research in Cancer Research (1.2k citations), Molecular Biology (4.0k citations), Immunology (1.1k citations), Aging (68 citations) and Biological Psychiatry (81 citations). Simon Koplev has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Avi Ma’ayan, Sherry L. Jenkins, Kathleen M. Jagodnik, Andrew D. Rouillard, Gregory W. Gundersen, Caroline D. Monteiro, Maxim V. Kuleshov, Matthew R. Jones, Alexander Lachmann and Qiaonan Duan. Their work appears in journals such as Circulation, Journal of the American College of Cardiology, Cancer Cell, JAIDS Journal of Acquired Immune Deficiency Syndromes and Journal of Molecular and Cellular Cardiology.

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.

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