Csaba Sőti
Impact in
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms
- Geriatrics and Gerontology top 1%
- Sirtuins and Resveratrol in Medicine
Papers in
- Aging 10
- Genetics, Aging, and Longevity in Model Organisms 10
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- Heat shock proteins research 45
- Co-authors
- Péter Csermely (44 shared papers)Gábor Nardai (4 shared papers)Tamás Schnaider (3 shared papers)Zoltán Prohászka (1 shared paper)Amere Subbarao Sreedhar (3 shared papers)Áttila Rácz (2 shared papers)Zoltán Giricz (2 shared papers)László Vı́gh (1 shared paper)
- Journals
- International Journal of Molecular Sciences (4 papers)Experimental Gerontology (4 papers)Scientific Reports (3 papers)Journal of Biosciences (3 papers)Antioxidants and Redox Signaling (2 papers)
- Partner nations
- HungaryUnited KingdomJapan
In The Last Decade
Csaba Sőti
62 papers receiving 4.3k citations
Csaba Sőti's Hit Papers
Peers
Comparison fields: 5 of 125
- Aging 548
- Geriatrics and Gerontology 299
- Molecular Biology 2.6k
- Physiology 243
- Biochemistry 57
Countries citing papers authored by Csaba Sőti
This map shows the geographic impact of Csaba Sőti'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 Sőti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Csaba Sőti more than expected).
Fields of papers citing papers by Csaba Sőti
This network shows the impact of papers produced by Csaba Sőti. 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 Sőti. The network helps show where Csaba Sőti may publish in the future.
Co-authors
The 25 scholars most cited alongside Csaba Sőti, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The 90-kDa Molecular Chaperone Family Hit paper breakdown → | 1998 | 926 |
| 2 | 2011 | 528 | |
| 3 | 2005 | 327 | |
| 4 | 2002 | 186 | |
| 5 | 2021 | 180 | |
| 6 | 2012 | 147 | |
| 7 | 2003 | 132 | |
| 8 | 2003 | 128 | |
| 9 | 1993 | 118 | |
| 10 | 2000 | 116 | |
| 11 | 2003 | 108 | |
| 12 | 2002 | 92 | |
| 13 | 2003 | 86 | |
| 14 | 2003 | 84 | |
| 15 | 2005 | 81 | |
| 16 | 2007 | 79 | |
| 17 | 2007 | 74 | |
| 18 | 2002 | 70 | |
| 19 | 2004 | 60 | |
| 20 | 2008 | 57 |
About Csaba Sőti
Csaba Sőti is a scholar working on Aging, Molecular Biology, Cellular and Molecular Neuroscience, Geriatrics and Gerontology and Immunology, having authored 63 papers that have together received 4.4k indexed citations. Recurring topics across this work include Heat shock proteins research (45 papers), Genetics, Aging, and Longevity in Model Organisms (10 papers), Neurobiology and Insect Physiology Research (4 papers), Invertebrate Immune Response Mechanisms (3 papers), Sirtuins and Resveratrol in Medicine (2 papers), Trace Elements in Health (1 paper), Complex Systems and Dynamics (1 paper) and Acute Kidney Injury Research (1 paper). The work is most often cited by research in Aging (548 citations), Geriatrics and Gerontology (299 citations), Molecular Biology (2.6k citations), Physiology (243 citations) and Biochemistry (57 citations). Csaba Sőti has collaborated with scholars based in Hungary, United Kingdom and Japan. Frequent co-authors include Péter Csermely, Gábor Nardai, Tamás Schnaider, Zoltán Prohászka, Amere Subbarao Sreedhar, Áttila Rácz, Zoltán Giricz, László Vı́gh, Enikő Nagy and Péter Ferdinandy. Their work appears in journals such as International Journal of Molecular Sciences, Experimental Gerontology, Scientific Reports, Journal of Biosciences and Antioxidants and Redox Signaling.
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.