Csaba Sőti
Impact in
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms
- Molecular Biology top 2%
- Heat shock proteins research
- Protein Structure and Dynamics
- ATP Synthase and ATPases Research
Papers in
-
- Heat shock proteins research 42
- Protein Structure and Dynamics 9
- Aging 21
- Genetics, Aging, and Longevity in Model Organisms 21
- Co-authors
- Péter Csermely (43 shared papers)Gábor Nardai (5 shared papers)Tamás Schnaider (3 shared papers)Zoltán Prohászka (1 shared paper)Amere Subbarao Sreedhar (3 shared papers)Áttila Rácz (2 shared papers)Péter Ferdinandy (2 shared papers)Zoltán Giricz (2 shared papers)
- Journals
- Experimental Gerontology (4 papers)Scientific Reports (3 papers)Journal of Biosciences (3 papers)International Journal of Molecular Sciences (3 papers)Life Sciences (2 papers)
- Partner nations
- HungaryUnited KingdomSouth Africa
In The Last Decade
Csaba Sőti
59 papers receiving 3.6k citations
Csaba Sőti's Hit Papers
Peers
Comparison fields: 5 of 136
- Aging 571
- Molecular Biology 2.8k
- Cell Biology 651
- Geriatrics and Gerontology 98
- Physical and Theoretical Chemistry 287
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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The 90-kDa Molecular Chaperone Family Hit paper breakdown → | 1998 | 922 |
| 2 | 2005 | 324 | |
| 3 | 2002 | 182 | |
| 4 | 2021 | 177 | |
| 5 | 2012 | 142 | |
| 6 | 2003 | 132 | |
| 7 | 2003 | 125 | |
| 8 | 1993 | 120 | |
| 9 | 2000 | 117 | |
| 10 | 2003 | 107 | |
| 11 | 2002 | 93 | |
| 12 | 2003 | 84 | |
| 13 | 2005 | 84 | |
| 14 | 2007 | 76 | |
| 15 | 2007 | 74 | |
| 16 | 2002 | 71 | |
| 17 | 2004 | 58 | |
| 18 | 2008 | 55 | |
| 19 | 2006 | 55 | |
| 20 | 2007 | 53 |
About Csaba Sőti
Csaba Sőti is a scholar working on Molecular Biology, Aging, Cell Biology, Physical and Theoretical Chemistry and Physiology, having authored 59 papers that have together received 3.8k indexed citations. Recurring topics across this work include Heat shock proteins research (42 papers), Genetics, Aging, and Longevity in Model Organisms (21 papers), Endoplasmic Reticulum Stress and Disease (17 papers), thermodynamics and calorimetric analyses (10 papers), Protein Structure and Dynamics (9 papers), Sirtuins and Resveratrol in Medicine (4 papers), Circadian rhythm and melatonin (4 papers) and Enzyme Structure and Function (4 papers). The work is most often cited by research in Aging (571 citations), Molecular Biology (2.8k citations), Cell Biology (651 citations), Geriatrics and Gerontology (98 citations) and Physical and Theoretical Chemistry (287 citations). Csaba Sőti has collaborated with scholars based in Hungary, United Kingdom and South Africa. Frequent co-authors include Péter Csermely, Gábor Nardai, Tamás Schnaider, Zoltán Prohászka, Amere Subbarao Sreedhar, Áttila Rácz, Péter Ferdinandy, Zoltán Giricz, László Vı́gh and Enikő Nagy. Their work appears in journals such as Experimental Gerontology, Scientific Reports, Journal of Biosciences, International Journal of Molecular Sciences and Life 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.