Vipul Devas
Impact in
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- Bone health and osteoporosis research
- Bone and Joint Diseases
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- Bone health and treatments
- Cancer Immunotherapy and Biomarkers
Papers in
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- Bone health and osteoporosis research 1
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- Statistical Methods and Bayesian Inference 1
- Statistical Methods and Inference 1
- Advanced Statistical Methods and Models 1
- Co-authors
- Daiva Masanauskaite (2 shared papers)Alan Kivitz (1 shared paper)William D. Koltun (1 shared paper)Larry S. Seidman (1 shared paper)Kathleen Marie Beusterien (1 shared paper)Ronald D. Emkey (1 shared paper)Helmut W. Minne (1 shared paper)Patrice Fardellone (1 shared paper)
- Journals
- Nature Medicine (1 paper)Nature Cancer (1 paper)Journal of Bone and Mineral Research (1 paper)Journal of Statistical Computation and Simulation (1 paper)Current Medical Research and Opinion (1 paper)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Vipul Devas
7 papers receiving 315 citations
Vipul Devas's Hit Papers
Peers
Comparison fields: 5 of 39
- Orthopedics and Sports Medicine 123
- Oncology 125
- Family Practice 7
- Pulmonary and Respiratory Medicine 55
- Cancer Research 22
Countries citing papers authored by Vipul Devas
This map shows the geographic impact of Vipul Devas'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 Vipul Devas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vipul Devas more than expected).
Fields of papers citing papers by Vipul Devas
This network shows the impact of papers produced by Vipul Devas. 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 Vipul Devas. The network helps show where Vipul Devas may publish in the future.
Co-authors
The 25 scholars most cited alongside Vipul Devas, 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 | 2005 | 135 | |
| 2 | Association between pathologic response and survival after neoadjuvant therapy in lung cancer Hit paper breakdown → | 2023 | 120 |
| 3 | 2008 | 54 | |
| 4 | 2024 | 14 | |
| 5 | 2026 | 3 | |
| 6 | Rationale and design of the MOTION study (monthly oral therapy with ibandronate for osteoporosis intervention). | 2005 | 2 |
| 7 | 2005 | 1 |
About Vipul Devas
Vipul Devas is a scholar working on Orthopedics and Sports Medicine, Statistics and Probability, Pulmonary and Respiratory Medicine, Oncology and Insect Science, having authored 7 papers that have together received 329 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (2 papers), Lung Cancer Treatments and Mutations (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Bone health and osteoporosis research (1 paper), Statistical Methods and Bayesian Inference (1 paper), Statistical Methods and Inference (1 paper) and Advanced Statistical Methods and Models (1 paper). The work is most often cited by research in Orthopedics and Sports Medicine (123 citations), Oncology (125 citations), Family Practice (7 citations), Pulmonary and Respiratory Medicine (55 citations) and Cancer Research (22 citations). Vipul Devas has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Daiva Masanauskaite, Alan Kivitz, William D. Koltun, Larry S. Seidman, Kathleen Marie Beusterien, Ronald D. Emkey, Helmut W. Minne, Patrice Fardellone, Pierre Bourgeois and Peyman Hadji. Their work appears in journals such as Nature Medicine, Nature Cancer, Journal of Bone and Mineral Research, Journal of Statistical Computation and Simulation and Current Medical Research and Opinion.
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.