Uma Gaur
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Biological Psychiatry top 10%
Papers in
-
- Epigenetics and DNA Methylation 3
- Aging 11
- Genetics, Aging, and Longevity in Model Organisms 11
- Co-authors
- Mingyao Yang (19 shared papers)Wenhua Zheng (5 shared papers)Haitao Wang (5 shared papers)Jiangping Xu (3 shared papers)Peter J. Little (3 shared papers)Diyan Li (14 shared papers)Mohd Farhan (1 shared paper)Xiaolan Fan (15 shared papers)
In The Last Decade
Uma Gaur
61 papers receiving 2.1k citations
Uma Gaur's Hit Papers
Peers
Comparison fields: 5 of 152
- Aging 124
- Biological Psychiatry 49
- General Dentistry 30
- Cancer Research 235
- Molecular Biology 800
Countries citing papers authored by Uma Gaur
This map shows the geographic impact of Uma Gaur'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 Uma Gaur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uma Gaur more than expected).
Fields of papers citing papers by Uma Gaur
This network shows the impact of papers produced by Uma Gaur. 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 Uma Gaur. The network helps show where Uma Gaur may publish in the future.
Co-authors
The 25 scholars most cited alongside Uma Gaur, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | FOXO Signaling Pathways as Therapeutic Targets in Cancer Hit paper breakdown → | 2017 | 423 |
| 2 | 2015 | 243 | |
| 3 | 2020 | 202 | |
| 4 | 2019 | 97 | |
| 5 | 2019 | 88 | |
| 6 | 2020 | 73 | |
| 7 | 2020 | 73 | |
| 8 | 2015 | 65 | |
| 9 | 2016 | 62 | |
| 10 | 2013 | 57 | |
| 11 | 2016 | 47 | |
| 12 | 2019 | 46 | |
| 13 | 2018 | 39 | |
| 14 | 2019 | 38 | |
| 15 | 2015 | 35 | |
| 16 | 2018 | 35 | |
| 17 | Learning style preferences: A study of pre-clinical medical students in Barbados. | 2017 | 34 |
| 18 | 2016 | 33 | |
| 19 | 2017 | 24 | |
| 20 | 2019 | 23 |
About Uma Gaur
Uma Gaur is a scholar working on Molecular Biology, Aging, Genetics, Immunology and Animal Science and Zoology, having authored 62 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (11 papers), Invertebrate Immune Response Mechanisms (5 papers), Cancer-related molecular mechanisms research (4 papers), Livestock and Poultry Management (4 papers), Animal Nutrition and Physiology (4 papers), High Altitude and Hypoxia (3 papers), Epigenetics and DNA Methylation (3 papers) and Neurobiology and Insect Physiology Research (3 papers). The work is most often cited by research in Aging (124 citations), Biological Psychiatry (49 citations), General Dentistry (30 citations), Cancer Research (235 citations) and Molecular Biology (800 citations). Uma Gaur has collaborated with scholars based in China, Macao and Barbados. Frequent co-authors include Mingyao Yang, Wenhua Zheng, Haitao Wang, Jiangping Xu, Peter J. Little, Diyan Li, Mohd Farhan, Xiaolan Fan, Nan Wu and Yongfang Yao. Their work appears in journals such as International Journal of Molecular Sciences, PLoS ONE, International Journal of Biological Sciences, Experimental Gerontology and Oncotarget.
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.