Eldad Kepten
Impact in
- Modeling and Simulation top 0.5%
- Fractional Differential Equations Solutions
- COVID-19 epidemiological studies
- Infectious Diseases top 0.5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
-
- Genomics and Chromatin Dynamics 5
- RNA Research and Splicing 3
- Nuclear Structure and Function 3
- Diffusion and Search Dynamics 2
-
- SARS-CoV-2 and COVID-19 Research 4
- Co-authors
- Noa Dagan (4 shared papers)Ben Y. Reis (4 shared papers)Ran D. Balicer (5 shared papers)Noam Barda (4 shared papers)Marc Lipsitch (3 shared papers)Miguel A. Hernán (2 shared papers)Yuval Garini (12 shared papers)Mark A. Katz (1 shared paper)
- Journals
- PLoS ONE (2 papers)Biophysical Journal (2 papers)New England Journal of Medicine (2 papers)Nature Communications (2 papers)British Journal of Haematology (1 paper)
- Partner nations
- IsraelUnited StatesPoland
In The Last Decade
Eldad Kepten
18 papers receiving 3.5k citations
Eldad Kepten's Hit Papers
Peers
Comparison fields: 5 of 151
- Modeling and Simulation 607
- Infectious Diseases 1.5k
- Health 502
- Statistical and Nonlinear Physics 317
- Obstetrics and Gynecology 95
Countries citing papers authored by Eldad Kepten
This map shows the geographic impact of Eldad Kepten'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 Eldad Kepten with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eldad Kepten more than expected).
Fields of papers citing papers by Eldad Kepten
This network shows the impact of papers produced by Eldad Kepten. 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 Eldad Kepten. The network helps show where Eldad Kepten may publish in the future.
Co-authors
The 25 scholars most cited alongside Eldad Kepten, 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 | BNT162b2 mRNA Covid-19 Vaccine in a Nationwide Mass Vaccination Setting Hit paper breakdown → | 2021 | 1663 |
| 2 | Safety of the BNT162b2 mRNA Covid-19 Vaccine in a Nationwide Setting Hit paper breakdown → | 2021 | 687 |
| 3 | 2009 | 393 | |
| 4 | 2015 | 218 | |
| 5 | 2012 | 121 | |
| 6 | 2015 | 112 | |
| 7 | 2013 | 84 | |
| 8 | 2015 | 71 | |
| 9 | 2011 | 62 | |
| 10 | 2022 | 36 | |
| 11 | 2016 | 34 | |
| 12 | 2015 | 14 | |
| 13 | 2017 | 12 | |
| 14 | 2015 | 10 | |
| 15 | 2015 | 7 | |
| 16 | 2022 | 5 | |
| 17 | 2013 | 5 | |
| 18 | 2025 | 2 |
About Eldad Kepten
Eldad Kepten is a scholar working on Molecular Biology, Infectious Diseases, Statistical and Nonlinear Physics, Modeling and Simulation and Biophysics, having authored 18 papers that have together received 3.5k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Fractional Differential Equations Solutions (3 papers), RNA Research and Splicing (3 papers), Nuclear Structure and Function (3 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Diffusion and Search Dynamics (2 papers) and stochastic dynamics and bifurcation (2 papers). The work is most often cited by research in Modeling and Simulation (607 citations), Infectious Diseases (1.5k citations), Health (502 citations), Statistical and Nonlinear Physics (317 citations) and Obstetrics and Gynecology (95 citations). Eldad Kepten has collaborated with scholars based in Israel, United States and Poland. Frequent co-authors include Noa Dagan, Ben Y. Reis, Ran D. Balicer, Noam Barda, Marc Lipsitch, Miguel A. Hernán, Yuval Garini, Mark A. Katz, Oren Miron and I. N. Bronshtein. Their work appears in journals such as PLoS ONE, Biophysical Journal, New England Journal of Medicine, Nature Communications and British Journal of Haematology.
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.