Sandhya S. Thomas
Impact in
- Nephrology top 5%
- Dialysis and Renal Disease Management
- Chronic Kidney Disease and Diabetes
-
- Nutrition and Health in Aging
- Adipose Tissue and Metabolism
Papers in
-
- Muscle Physiology and Disorders 9
- Metabolism, Diabetes, and Cancer 3
- RNA Research and Splicing 2
-
- Adipose Tissue and Metabolism 4
- Co-authors
- William E. Mitch (7 shared papers)Zhaoyong Hu (10 shared papers)Ping Zhang (2 shared papers)Jiao Wu (8 shared papers)Yanjun Dong (2 shared papers)Hui Peng (4 shared papers)Liping Zhang (1 shared paper)Jing Xu (2 shared papers)
- Journals
- Journal of Cachexia Sarcopenia and Muscle (4 papers)Kidney International (4 papers)Comprehensive physiology (2 papers)American Journal of Physiology-Endocrinology and Metabolism (1 paper)Cells (1 paper)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Sandhya S. Thomas
19 papers receiving 588 citations
Peers
Comparison fields: 5 of 79
- Nephrology 162
- Physiology 174
- Endocrinology, Diabetes and Metabolism 78
- Molecular Biology 316
- Cell Biology 75
Countries citing papers authored by Sandhya S. Thomas
This map shows the geographic impact of Sandhya S. Thomas'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 Sandhya S. Thomas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandhya S. Thomas more than expected).
Fields of papers citing papers by Sandhya S. Thomas
This network shows the impact of papers produced by Sandhya S. Thomas. 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 Sandhya S. Thomas. The network helps show where Sandhya S. Thomas may publish in the future.
Co-authors
The 25 scholars most cited alongside Sandhya S. Thomas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 75 | |
| 2 | 2015 | 60 | |
| 3 | 2016 | 58 | |
| 4 | 2013 | 54 | |
| 5 | 2018 | 51 | |
| 6 | 2013 | 43 | |
| 7 | 2023 | 38 | |
| 8 | 2022 | 37 | |
| 9 | 2013 | 36 | |
| 10 | 2017 | 35 | |
| 11 | 2018 | 28 | |
| 12 | 2019 | 20 | |
| 13 | 2017 | 14 | |
| 14 | 2023 | 11 | |
| 15 | 2022 | 10 | |
| 16 | 2023 | 9 | |
| 17 | 2023 | 7 | |
| 18 | 2024 | 4 | |
| 19 | 2022 | 1 | |
| 20 | 2025 | 0 |
About Sandhya S. Thomas
Sandhya S. Thomas is a scholar working on Molecular Biology, Physiology, Endocrinology, Diabetes and Metabolism, Cell Biology and Surgery, having authored 20 papers that have together received 591 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (9 papers), Diabetes Treatment and Management (5 papers), Diabetes Management and Research (4 papers), Adipose Tissue and Metabolism (4 papers), Muscle metabolism and nutrition (4 papers), Pancreatic function and diabetes (3 papers), Metabolism, Diabetes, and Cancer (3 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Nephrology (162 citations), Physiology (174 citations), Endocrinology, Diabetes and Metabolism (78 citations), Molecular Biology (316 citations) and Cell Biology (75 citations). Sandhya S. Thomas has collaborated with scholars based in United States, China and Italy. Frequent co-authors include William E. Mitch, Zhaoyong Hu, Ping Zhang, Jiao Wu, Yanjun Dong, Hui Peng, Liping Zhang, Jing Xu, Yanlin Wang and Yanlin Wang. Their work appears in journals such as Journal of Cachexia Sarcopenia and Muscle, Kidney International, Comprehensive physiology, American Journal of Physiology-Endocrinology and Metabolism and Cells.
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.