Rajat Thawani
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- Radiomics and Machine Learning in Medical Imaging 24
- Health Informatics top 5%
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- Lung Cancer Diagnosis and Treatment 16
- Lung Cancer Treatments and Mutations 7
- Gastric Cancer Management and Outcomes 5
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers 7
- Genetics top 10%
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- Economic and Financial Impacts of Cancer 7
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- Esophageal Cancer Research and Treatment 6
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- Advanced X-ray and CT Imaging 5
- Co-authors
- Anant MadabhushiVamsidhar VelchetiPrateek PrasannaNiha BeigSoumya GhoseKaustav BeraMichael J. McLaneMohammadhadi Khorrami
- Cited by
- Radiology, Nuclear Medicine and ImagingHealth InformaticsPulmonary and Respiratory Medicine
- Journals
- Journal of Clinical Oncology (11 papers)SHILAP Revista de lepidopterología (2 papers)Blood (1 paper)
- Partner nations
- United StatesIndiaSwitzerland
In The Last Decade
Rajat Thawani
63 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Radiology, Nuclear Medicine and Imaging 1.1k
- Health Informatics 41
- Pulmonary and Respiratory Medicine 749
- Oncology 332
- Genetics 121
Countries citing papers authored by Rajat Thawani
This map shows the geographic impact of Rajat Thawani'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 Rajat Thawani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajat Thawani more than expected).
Fields of papers citing papers by Rajat Thawani
This network shows the impact of papers produced by Rajat Thawani. 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 Rajat Thawani. The network helps show where Rajat Thawani may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rajat Thawani, 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 | 2025 | 5 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 2 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 6 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 1 | |
| 10 | 2022 | 4 | |
| 11 | 2021 | 24 | |
| 12 | 2020 | 3 | |
| 13 | 2019 | 200 | |
| 14 | 2019 | 86 | |
| 15 | 2019 | 19 | |
| 16 | 2018 | 238 | |
| 17 | 2018 | 74 | |
| 18 | 2018 | 4 | |
| 19 | Radiomics and radiogenomics in lung cancer: A review for the clinicianbreakdown → | 2017 | 349 |
| 20 | 2015 | 2 |
About Rajat Thawani
Rajat Thawani is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Internal Medicine, having authored 67 papers that have together received 1.7k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (24 papers), Lung Cancer Diagnosis and Treatment (16 papers), Economic and Financial Impacts of Cancer (7 papers), Lung Cancer Treatments and Mutations (7 papers), Cancer Immunotherapy and Biomarkers (7 papers), Esophageal Cancer Research and Treatment (6 papers), Gastric Cancer Management and Outcomes (5 papers) and Advanced X-ray and CT Imaging (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.1k citations), Health Informatics (41 citations) and Pulmonary and Respiratory Medicine (749 citations). Rajat Thawani has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include Anant Madabhushi, Vamsidhar Velcheti, Prateek Prasanna, Niha Beig, Soumya Ghose, Kaustav Bera, Michael J. McLane, Mohammadhadi Khorrami, Pingfu Fu and Mehdi Alilou. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.
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.