Rajesh P. Shah
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis 13
- Liver Disease and Transplantation 4
- Internal Medicine top 5%
- Venous Thromboembolism Diagnosis and Management 4
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- Radiomics and Machine Learning in Medical Imaging 8
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- Lung Cancer Diagnosis and Treatment 6
- Lung Cancer Treatments and Mutations 4
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- Advanced X-ray and CT Imaging 6
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- Organ Transplantation Techniques and Outcomes 3
- Co-authors
- Nishita KotharyJohn D. LouieDaniel Y. SzeAya KamayaSebastian EchegarayKaren T. BrownShaimaa BakrOlivier Gevaert
- Journals
- Journal of Vascular and Interventional Radiology (16 papers)CardioVascular and Interventional Radiology (2 papers)Pharmacology (1 paper)
- Partner nations
- United StatesMalaysiaChina
In The Last Decade
Rajesh P. Shah
38 papers receiving 608 citations
Peers
Comparison fields: 5 of 71
- Hepatology 266
- Internal Medicine 69
- Radiology, Nuclear Medicine and Imaging 222
- Pulmonary and Respiratory Medicine 219
- Health Informatics 8
Countries citing papers authored by Rajesh P. Shah
This map shows the geographic impact of Rajesh P. 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 Rajesh P. Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajesh P. Shah more than expected).
Fields of papers citing papers by Rajesh P. Shah
This network shows the impact of papers produced by Rajesh P. 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 Rajesh P. Shah. The network helps show where Rajesh P. Shah may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rajesh P. Shah, 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 | 2023 | 0 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 4 | |
| 5 | 2020 | 2 | |
| 6 | 2019 | 12 | |
| 7 | 2019 | 13 | |
| 8 | 2018 | 2 | |
| 9 | 2017 | 69 | |
| 10 | 2016 | 24 | |
| 11 | 2016 | 4 | |
| 12 | 2016 | 5 | |
| 13 | 2015 | 31 | |
| 14 | 2015 | 22 | |
| 15 | 2013 | 24 | |
| 16 | 2011 | 12 | |
| 17 | 2011 | 4 | |
| 18 | 2011 | 17 | |
| 19 | 2008 | 12 | |
| 20 | 2004 | 3 |
About Rajesh P. Shah
Rajesh P. Shah is a scholar working on Hepatology, Internal Medicine, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery, having authored 41 papers that have together received 617 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (13 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Lung Cancer Diagnosis and Treatment (6 papers), Advanced X-ray and CT Imaging (6 papers), Liver Disease and Transplantation (4 papers), Lung Cancer Treatments and Mutations (4 papers), Venous Thromboembolism Diagnosis and Management (4 papers) and Organ Transplantation Techniques and Outcomes (3 papers). The work is most often cited by research in Hepatology (266 citations), Internal Medicine (69 citations), Radiology, Nuclear Medicine and Imaging (222 citations), Pulmonary and Respiratory Medicine (219 citations) and Health Informatics (8 citations). Rajesh P. Shah has collaborated with scholars based in United States, Malaysia and China. Frequent co-authors include Nishita Kothary, John D. Louie, Daniel Y. Sze, Aya Kamaya, Sebastian Echegaray, Karen T. Brown, Shaimaa Bakr, Olivier Gevaert, Moiz Ahmad and Sandy Napel. Their work appears in journals such as Journal of Vascular and Interventional Radiology, CardioVascular and Interventional Radiology, Pharmacology, Investigative Radiology and JCO Clinical Cancer Informatics.
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.