Vikram Sabapathy
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
- Rehabilitation top 10%
- Wound Healing and Treatments
Papers in
- Immunology 10
- IL-33, ST2, and ILC Pathways 7
- Immune Cell Function and Interaction 6
- T-cell and B-cell Immunology 3
- Genetics 7
- Mesenchymal stem cell research 7
- Co-authors
- Sanjay Kumar (6 shared papers)Rahul Sharma (9 shared papers)Marta E. Stremska (3 shared papers)Poonam Sharma (2 shared papers)George Tharion (1 shared paper)Rebecca Corey (2 shared papers)Alok Srivastava (1 shared paper)Rajkumar Venkatadri (8 shared papers)
- Journals
- Journal of the American Society of Nephrology (3 papers)Frontiers in Pharmacology (2 papers)Scientific Reports (1 paper)Journal of Autoimmunity (1 paper)Diabetes (1 paper)
- Partner nations
- United StatesIndiaFrance
In The Last Decade
Vikram Sabapathy
22 papers receiving 538 citations
Peers
Comparison fields: 5 of 65
- Genetics 189
- Rehabilitation 52
- Immunology 158
- Nephrology 46
- Biomaterials 56
Countries citing papers authored by Vikram Sabapathy
This map shows the geographic impact of Vikram Sabapathy'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 Vikram Sabapathy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikram Sabapathy more than expected).
Fields of papers citing papers by Vikram Sabapathy
This network shows the impact of papers produced by Vikram Sabapathy. 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 Vikram Sabapathy. The network helps show where Vikram Sabapathy may publish in the future.
Co-authors
The 25 scholars most cited alongside Vikram Sabapathy, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 103 | |
| 2 | 2016 | 97 | |
| 3 | 2017 | 80 | |
| 4 | 2012 | 47 | |
| 5 | 2015 | 42 | |
| 6 | 2019 | 38 | |
| 7 | 2019 | 28 | |
| 8 | 2015 | 28 | |
| 9 | 2019 | 26 | |
| 10 | 2022 | 11 | |
| 11 | 2016 | 9 | |
| 12 | 2020 | 8 | |
| 13 | 2025 | 7 | |
| 14 | 2022 | 7 | |
| 15 | 2024 | 5 | |
| 16 | 2017 | 3 | |
| 17 | 2021 | 2 | |
| 18 | 2017 | 2 | |
| 19 | 2016 | 2 | |
| 20 | 2024 | 1 |
About Vikram Sabapathy
Vikram Sabapathy is a scholar working on Immunology, Genetics, Surgery, Molecular Biology and Biomaterials, having authored 24 papers that have together received 548 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (7 papers), IL-33, ST2, and ILC Pathways (7 papers), Tissue Engineering and Regenerative Medicine (6 papers), Immune Cell Function and Interaction (6 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), T-cell and B-cell Immunology (3 papers), Pluripotent Stem Cells Research (3 papers) and Advanced Glycation End Products research (2 papers). The work is most often cited by research in Genetics (189 citations), Rehabilitation (52 citations), Immunology (158 citations), Nephrology (46 citations) and Biomaterials (56 citations). Vikram Sabapathy has collaborated with scholars based in United States, India and France. Frequent co-authors include Sanjay Kumar, Rahul Sharma, Marta E. Stremska, Poonam Sharma, George Tharion, Rebecca Corey, Alok Srivastava, Rajkumar Venkatadri, Vivi M. Srivastava and Saranya Ravi. Their work appears in journals such as Journal of the American Society of Nephrology, Frontiers in Pharmacology, Scientific Reports, Journal of Autoimmunity and Diabetes.
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.