Csaba Kerepesi
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
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- Epigenetics and DNA Methylation
- Single-cell and spatial transcriptomics
- Genomics and Phylogenetic Studies
Papers in
-
- Epigenetics and DNA Methylation 12
- Genomics and Phylogenetic Studies 4
- Single-cell and spatial transcriptomics 3
- Aging 7
- Genetics, Aging, and Longevity in Model Organisms 7
- Co-authors
- Vadim N. Gladyshev (11 shared papers)Vince Grolmusz (11 shared papers)Alexandre Trapp (6 shared papers)Bohan Zhang (6 shared papers)Balázs Szalkai (5 shared papers)Bálint Varga (4 shared papers)Sun Hee Yim (3 shared papers)Anastasia V. Shindyapina (2 shared papers)
- Journals
- Aging Cell (5 papers)Innovation in Aging (3 papers)GeroScience (2 papers)Nature Aging (2 papers)Scientific Reports (2 papers)
- Partner nations
- HungaryUnited StatesJapan
In The Last Decade
Csaba Kerepesi
41 papers receiving 1.0k citations
Csaba Kerepesi's Hit Papers
Peers
Comparison fields: 5 of 137
- Aging 135
- Molecular Biology 470
- Biological Psychiatry 15
- Physiology 151
- Ecology 129
Countries citing papers authored by Csaba Kerepesi
This map shows the geographic impact of Csaba Kerepesi'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 Csaba Kerepesi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Csaba Kerepesi more than expected).
Fields of papers citing papers by Csaba Kerepesi
This network shows the impact of papers produced by Csaba Kerepesi. 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 Csaba Kerepesi. The network helps show where Csaba Kerepesi may publish in the future.
Co-authors
The 25 scholars most cited alongside Csaba Kerepesi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Biological age is increased by stress and restored upon recovery Hit paper breakdown → | 2023 | 130 |
| 2 | 2020 | 104 | |
| 3 | 2021 | 94 | |
| 4 | 2013 | 66 | |
| 5 | 2023 | 64 | |
| 6 | 2021 | 63 | |
| 7 | 2016 | 44 | |
| 8 | 2018 | 40 | |
| 9 | 2021 | 38 | |
| 10 | 2017 | 38 | |
| 11 | 2021 | 32 | |
| 12 | 2022 | 29 | |
| 13 | 2016 | 28 | |
| 14 | 2016 | 26 | |
| 15 | 2017 | 25 | |
| 16 | 2017 | 25 | |
| 17 | 2023 | 20 | |
| 18 | 2019 | 20 | |
| 19 | 2020 | 17 | |
| 20 | 2018 | 17 |
About Csaba Kerepesi
Csaba Kerepesi is a scholar working on Molecular Biology, Aging, Plant Science, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 42 papers that have together received 1.0k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (12 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Functional Brain Connectivity Studies (4 papers), Advanced MRI Techniques and Applications (4 papers), Genomics and Phylogenetic Studies (4 papers), Crop Yield and Soil Fertility (3 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Aging (135 citations), Molecular Biology (470 citations), Biological Psychiatry (15 citations), Physiology (151 citations) and Ecology (129 citations). Csaba Kerepesi has collaborated with scholars based in Hungary, United States and Japan. Frequent co-authors include Vadim N. Gladyshev, Vince Grolmusz, Alexandre Trapp, Bohan Zhang, Balázs Szalkai, Bálint Varga, Sun Hee Yim, Anastasia V. Shindyapina, Steve Horvath and Bálint Daróczy. Their work appears in journals such as Aging Cell, Innovation in Aging, GeroScience, Nature Aging and Scientific Reports.
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.