Tripti Gautam
Impact in
Papers in
-
- Genomics, phytochemicals, and oxidative stress 4
- Physiology 10
- Alzheimer's disease research and treatments 3
- Adipose Tissue and Metabolism 3
- Co-authors
- Zoltán Ungvári (34 shared papers)Anna Csiszár (32 shared papers)William E. Sonntag (29 shared papers)Stefano Tarantini (19 shared papers)Zsuzsanna Tucsek (22 shared papers)Danuta Sosnowska (19 shared papers)Péter Tóth (13 shared papers)Ákos Koller (11 shared papers)
- Journals
- The FASEB Journal (12 papers)American Journal of Physiology-Heart and Circulatory Physiology (7 papers)The Journals of Gerontology Series A (4 papers)GeroScience (4 papers)Aging Cell (3 papers)
- Partner nations
- United StatesHungaryGermany
In The Last Decade
Tripti Gautam
35 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 98
- Neurology 608
- Aging 124
- Geriatrics and Gerontology 140
- Biological Psychiatry 64
- Neurology 367
Countries citing papers authored by Tripti Gautam
This map shows the geographic impact of Tripti Gautam'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 Tripti Gautam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tripti Gautam more than expected).
Fields of papers citing papers by Tripti Gautam
This network shows the impact of papers produced by Tripti Gautam. 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 Tripti Gautam. The network helps show where Tripti Gautam may publish in the future.
Co-authors
The 25 scholars most cited alongside Tripti Gautam, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 235 | |
| 2 | 2011 | 232 | |
| 3 | 2013 | 197 | |
| 4 | 2013 | 173 | |
| 5 | 2018 | 160 | |
| 6 | 2011 | 149 | |
| 7 | 2014 | 141 | |
| 8 | 2017 | 139 | |
| 9 | 2015 | 137 | |
| 10 | 2014 | 102 | |
| 11 | 2017 | 92 | |
| 12 | 2019 | 88 | |
| 13 | 2013 | 87 | |
| 14 | 2018 | 87 | |
| 15 | 2016 | 84 | |
| 16 | 2017 | 74 | |
| 17 | 2014 | 71 | |
| 18 | 2017 | 67 | |
| 19 | 2013 | 62 | |
| 20 | 2014 | 39 |
About Tripti Gautam
Tripti Gautam is a scholar working on Molecular Biology, Physiology, Neurology, Surgery and Endocrinology, Diabetes and Metabolism, having authored 35 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neurological Disease Mechanisms and Treatments (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (5 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Genomics, phytochemicals, and oxidative stress (4 papers), Alzheimer's disease research and treatments (3 papers), Cerebrovascular and genetic disorders (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Neurology (608 citations), Aging (124 citations), Geriatrics and Gerontology (140 citations), Biological Psychiatry (64 citations) and Neurology (367 citations). Tripti Gautam has collaborated with scholars based in United States, Hungary and Germany. Frequent co-authors include Zoltán Ungvári, Anna Csiszár, William E. Sonntag, Stefano Tarantini, Zsuzsanna Tucsek, Danuta Sosnowska, Péter Tóth, Ákos Koller, Praveen Ballabh and Andriy Yabluchanskiy. Their work appears in journals such as The FASEB Journal, American Journal of Physiology-Heart and Circulatory Physiology, The Journals of Gerontology Series A, GeroScience and Aging Cell.
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.