Simon Koplev
- Cancer Research top 1%
- Molecular Biology top 1%
- Bioinformatics and Genomic Networks 6
- Single-cell and spatial transcriptomics 3
- CRISPR and Genetic Engineering 2
- Immunology top 2%
- Atherosclerosis and Cardiovascular Diseases 8
- Immune cells in cancer 3
- Aging top 5%
- Biological Psychiatry top 5%
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- Genetic Associations and Epidemiology 2
- Mesenchymal stem cell research 2
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- Cardiomyopathy and Myosin Studies 2
- Co-authors
- Avi Ma’ayanSherry L. JenkinsKathleen M. JagodnikAndrew D. RouillardGregory W. GundersenCaroline D. MonteiroMaxim V. KuleshovMatthew R. Jones
- Journals
- Circulation (2 papers)Journal of the American College of Cardiology (2 papers)Cancer Cell (1 paper)
- Partner nations
- United StatesSwedenUnited Kingdom
In The Last Decade
Simon Koplev
17 papers receiving 6.6k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Cancer Research 1.2k
- Molecular Biology 4.0k
- Immunology 1.1k
- Aging 68
- Biological Psychiatry 81
Countries citing papers authored by Simon Koplev
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 3 | |
| 3 | 2022 | 20 | |
| 4 | 2021 | 73 | |
| 5 | 2021 | 20 | |
| 6 | 2021 | 0 | |
| 7 | 2019 | 31 | |
| 8 | 2019 | 10 | |
| 9 | 2018 | 156 | |
| 10 | 2018 | 25 | |
| 11 | 2018 | 23 | |
| 12 | 2018 | 27 | |
| 13 | 2018 | 26 | |
| 14 | 2018 | 34 | |
| 15 | 2017 | 22 | |
| 16 | 2017 | 16 | |
| 17 | Enrichr: a comprehensive gene set enrichment analysis web server 2016 updatebreakdown → | 2016 | 6065 |
| 18 | 2016 | 26 |
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.