Sumit K. Shah
- Pulmonary and Respiratory Medicine top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Health top 5%
- Infectious Diseases
- Pathology and Forensic Medicine
- Co-authors
- Pearl A. McElfishJonathan GoldinDon E. WillisHyun J. KimMichael F. McNitt‐GrayJames P. SeligDenise R. AberleMatthew S. Brown
- Topics
- Lung Cancer Diagnosis and Treatment (11 papers)Radiomics and Machine Learning in Medical Imaging (11 papers)Vaccine Coverage and Hesitancy (9 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaScientific Reports
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Sumit K. Shah
42 papers receiving 860 citations
Peers
Comparison fields: 5 of 102
- Pulmonary and Respiratory Medicine 358
- Radiology, Nuclear Medicine and Imaging 288
- Health 213
- Infectious Diseases 112
- Pathology and Forensic Medicine 104
Countries citing papers authored by Sumit K. Shah
This map shows the geographic impact of Sumit K. Shah'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 Sumit K. Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumit K. Shah more than expected).
Fields of papers citing papers by Sumit K. Shah
This network shows the impact of papers produced by Sumit K. Shah. 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 Sumit K. Shah. The network helps show where Sumit K. Shah may publish in the future.
Co-authorship network of co-authors of Sumit K. Shah
This figure shows the co-authorship network connecting the top 25 collaborators of Sumit K. Shah. A scholar is included among the top collaborators of Sumit K. Shah based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sumit K. Shah. Sumit K. Shah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 13 | |
| 3 | 21 | |
| 4 | 17 | |
| 5 | 7 | |
| 6 | 30 | |
| 7 | 10 | |
| 8 | 13 | |
| 9 | 43 | |
| 10 | 20 | |
| 11 | 8 | |
| 12 | 8 | |
| 13 | 25 | |
| 14 | 24 | |
| 15 | 15 | |
| 16 | 17 | |
| 17 | 85 | |
| 18 | 58 | |
| 19 | 38 | |
| 20 | 23 |
About Sumit K. Shah
Sumit K. Shah is a scholar working on Health, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 42 papers that have together received 876 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (11 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Vaccine Coverage and Hesitancy (9 papers). The work is most often cited by research in Health (213 citations), Radiology, Nuclear Medicine and Imaging (288 citations) and Pulmonary and Respiratory Medicine (358 citations). Sumit K. Shah has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Pearl A. McElfish, Jonathan Goldin, Don E. Willis, Hyun J. Kim, Michael F. McNitt‐Gray, James P. Selig, Denise R. Aberle, Matthew S. Brown, Keneshia Bryant‐Moore and Robert D. Suh. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Scientific Reports.
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.