Eugene Katsevich
Impact in
- Structural Biology top 5%
- Advanced Electron Microscopy Techniques and Applications
- Statistics and Probability top 10%
- Statistical Methods and Inference
- Statistical Methods in Clinical Trials
Papers in
-
- Single-cell and spatial transcriptomics 3
- CRISPR and Genetic Engineering 3
- Gene expression and cancer classification 3
- Advanced biosensing and bioanalysis techniques 1
-
- Statistical Methods in Clinical Trials 5
- Statistical Methods and Inference 4
- Statistical Methods and Bayesian Inference 2
- Co-authors
- Alexander Katsevich (2 shared papers)Amit Singer (1 shared paper)Chiara Sabatti (2 shared papers)Aaditya Ramdas (4 shared papers)Stephen Bates (1 shared paper)Matteo Sesia (1 shared paper)Emmanuel J. Candès (1 shared paper)Timothy Barry (2 shared papers)
- Journals
- Electronic Journal of Statistics (1 paper)Scientific Reports (1 paper)Science (1 paper)Nature Communications (1 paper)SIAM Journal on Imaging Sciences (1 paper)
- Partner nations
- United StatesSwedenNetherlands
In The Last Decade
Eugene Katsevich
12 papers receiving 242 citations
Peers
Comparison fields: 5 of 56
- Structural Biology 37
- Statistics and Probability 46
- Surfaces, Coatings and Films 28
- Genetics 52
- Molecular Biology 121
Countries citing papers authored by Eugene Katsevich
This map shows the geographic impact of Eugene Katsevich'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 Eugene Katsevich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eugene Katsevich more than expected).
Fields of papers citing papers by Eugene Katsevich
This network shows the impact of papers produced by Eugene Katsevich. 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 Eugene Katsevich. The network helps show where Eugene Katsevich may publish in the future.
Co-authors
The 25 scholars most cited alongside Eugene Katsevich, 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 | 2023 | 84 | |
| 2 | 2015 | 44 | |
| 3 | 2020 | 39 | |
| 4 | 2012 | 19 | |
| 5 | 2021 | 17 | |
| 6 | 2019 | 12 | |
| 7 | 2022 | 7 | |
| 8 | 2022 | 6 | |
| 9 | 2024 | 5 | |
| 10 | 2024 | 5 | |
| 11 | Towards "simultaneous selective inference": post-hoc bounds on the false discovery proportion | 2018 | 3 |
| 12 | 2024 | 2 |
About Eugene Katsevich
Eugene Katsevich is a scholar working on Molecular Biology, Statistics and Probability, Structural Biology, Mathematical Physics and Computational Mechanics, having authored 12 papers that have together received 243 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (5 papers), Statistical Methods and Inference (4 papers), Single-cell and spatial transcriptomics (3 papers), CRISPR and Genetic Engineering (3 papers), Gene expression and cancer classification (3 papers), Statistical Methods and Bayesian Inference (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Genetic Associations and Epidemiology (1 paper). The work is most often cited by research in Structural Biology (37 citations), Statistics and Probability (46 citations), Surfaces, Coatings and Films (28 citations), Genetics (52 citations) and Molecular Biology (121 citations). Eugene Katsevich has collaborated with scholars based in United States, Sweden and Netherlands. Frequent co-authors include Alexander Katsevich, Amit Singer, Chiara Sabatti, Aaditya Ramdas, Stephen Bates, Matteo Sesia, Emmanuel J. Candès, Timothy Barry, Kathryn Roeder and Neville E. Sanjana. Their work appears in journals such as Electronic Journal of Statistics, Scientific Reports, Science, Nature Communications and SIAM Journal on Imaging Sciences.
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.