Sandhya Sriram
Impact in
- Rehabilitation top 5%
- Exercise and Physiological Responses
-
- Adipose Tissue and Metabolism
- Nutrition and Health in Aging
Papers in
-
- Muscle Physiology and Disorders 4
- Pluripotent Stem Cells Research 2
-
- Adipose Tissue and Metabolism 4
- Nutrition and Health in Aging 2
- Co-authors
- Ravi Kambadur (4 shared papers)Mridula Sharma (4 shared papers)Craig McFarlane (4 shared papers)Subha Subramanian (4 shared papers)Mônica Senna Salerno (1 shared paper)Sudarsanareddy Lokireddy (3 shared papers)Shigeki Sugii (5 shared papers)Arigela Harikumar (1 shared paper)
- Journals
- Stem Cell Research & Therapy (3 papers)Scientific Reports (2 papers)Frontiers in Cellular Neuroscience (2 papers)Molecular Endocrinology (1 paper)Proceedings of the ACM on Human-Computer Interaction (1 paper)
- Partner nations
- SingaporeUnited StatesIndia
In The Last Decade
Sandhya Sriram
15 papers receiving 386 citations
Peers
Comparison fields: 5 of 76
- Rehabilitation 79
- Physiology 165
- Aging 8
- Molecular Biology 244
- Cell Biology 57
Countries citing papers authored by Sandhya Sriram
This map shows the geographic impact of Sandhya Sriram'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 Sriram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandhya Sriram more than expected).
Fields of papers citing papers by Sandhya Sriram
This network shows the impact of papers produced by Sandhya Sriram. 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 Sriram. The network helps show where Sandhya Sriram may publish in the future.
Co-authors
The 25 scholars most cited alongside Sandhya Sriram, 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 | 2011 | 154 | |
| 2 | 2013 | 95 | |
| 3 | 2014 | 40 | |
| 4 | 2017 | 20 | |
| 5 | 2019 | 19 | |
| 6 | 2022 | 10 | |
| 7 | 2024 | 10 | |
| 8 | 2018 | 10 | |
| 9 | 2021 | 9 | |
| 10 | 2016 | 8 | |
| 11 | 2013 | 6 | |
| 12 | 2021 | 4 | |
| 13 | 2024 | 3 | |
| 14 | 2024 | 1 | |
| 15 | EVALUATION OF IN VITRO INTERACTIONS OF WARFARIN AND DULOXETINE WITH SELECTED COADMINISTERED NSAIDS IN BOVINE SERUM ALBUMIN | 2011 | 1 |
| 16 | 2024 | 0 |
About Sandhya Sriram
Sandhya Sriram is a scholar working on Molecular Biology, Physiology, Surgery, Rehabilitation and Genetics, having authored 16 papers that have together received 390 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (4 papers), Muscle Physiology and Disorders (4 papers), Exercise and Physiological Responses (3 papers), Mesenchymal stem cell research (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), GDF15 and Related Biomarkers (2 papers), Pluripotent Stem Cells Research (2 papers) and Nutrition and Health in Aging (2 papers). The work is most often cited by research in Rehabilitation (79 citations), Physiology (165 citations), Aging (8 citations), Molecular Biology (244 citations) and Cell Biology (57 citations). Sandhya Sriram has collaborated with scholars based in Singapore, United States and India. Frequent co-authors include Ravi Kambadur, Mridula Sharma, Craig McFarlane, Subha Subramanian, Mônica Senna Salerno, Sudarsanareddy Lokireddy, Shigeki Sugii, Arigela Harikumar, Himani Kukreti and Kottaiswamy Amuthavalli. Their work appears in journals such as Stem Cell Research & Therapy, Scientific Reports, Frontiers in Cellular Neuroscience, Molecular Endocrinology and Proceedings of the ACM on Human-Computer Interaction.
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.