Subburaman Mohan
- Endocrinology, Diabetes and Metabolism top 0.05%
- Growth Hormone and Insulin-like Growth Factors 173
- Orthopedics and Sports Medicine top 0.2%
- Bone health and osteoporosis research 43
- Cancer Research top 0.5%
- Cancer, Hypoxia, and Metabolism 45
- Genetics top 0.2%
- Genetic Syndromes and Imprinting 22
- Molecular Biology top 0.5%
- Bone Metabolism and Diseases 86
- Metabolism, Diabetes, and Cancer 40
- TGF-β signaling in diseases 37
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- Bone health and treatments 45
- Co-authors
- David J. BaylinkThomas A. LinkhartJon E. WergedalSujatha RajaramD J BaylinkDonna D. StrongRichard D. FinkelmanWeirong Xing
- Journals
- Journal of Bone and Mineral Research (36 papers)Endocrinology (27 papers)Calcified Tissue International (26 papers)
- Partner nations
- United StatesSwedenGermany
In The Last Decade
Subburaman Mohan
362 papers receiving 17.6k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Endocrinology, Diabetes and Metabolism 7.8k
- Orthopedics and Sports Medicine 2.6k
- Cancer Research 2.3k
- Genetics 3.6k
- Molecular Biology 8.7k
Countries citing papers authored by Subburaman Mohan
This map shows the geographic impact of Subburaman Mohan'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 Subburaman Mohan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subburaman Mohan more than expected).
Fields of papers citing papers by Subburaman Mohan
This network shows the impact of papers produced by Subburaman Mohan. 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 Subburaman Mohan. The network helps show where Subburaman Mohan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Subburaman Mohan, 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 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 0 | |
| 6 | 2022 | 3 | |
| 7 | 2022 | 4 | |
| 8 | 2022 | 7 | |
| 9 | 2022 | 4 | |
| 10 | 2022 | 4 | |
| 11 | 2020 | 7 | |
| 12 | 2019 | 17 | |
| 13 | 2019 | 13 | |
| 14 | 2017 | 15 | |
| 15 | 2017 | 20 | |
| 16 | 2012 | 4 | |
| 17 | 2011 | 40 | |
| 18 | 2009 | 42 | |
| 19 | 2001 | 72 | |
| 20 | 2001 | 79 |
About Subburaman Mohan
Subburaman Mohan is a scholar working on Endocrinology, Diabetes and Metabolism, Orthopedics and Sports Medicine and Cancer Research, having authored 366 papers that have together received 18.0k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (173 papers), Bone Metabolism and Diseases (86 papers), Bone health and treatments (45 papers), Cancer, Hypoxia, and Metabolism (45 papers), Bone health and osteoporosis research (43 papers), Metabolism, Diabetes, and Cancer (40 papers), TGF-β signaling in diseases (37 papers) and Genetic Syndromes and Imprinting (22 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (7.8k citations), Orthopedics and Sports Medicine (2.6k citations) and Cancer Research (2.3k citations). Subburaman Mohan has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include David J. Baylink, David J. Baylink, Thomas A. Linkhart, Jon E. Wergedal, Sujatha Rajaram, D J Baylink, Donna D. Strong, Richard D. Finkelman, Weirong Xing and Claes Ohlsson. Their work appears in journals such as Journal of Bone and Mineral Research, Endocrinology, Calcified Tissue International, Bone and The Journal of Clinical Endocrinology & Metabolism.
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.