Ritesh Parajuli
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
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- Cancer Cells and Metastasis
Papers in
- Oncology 13
- HER2/EGFR in Cancer Research 6
- CAR-T cell therapy research 4
- Cancer Cells and Metastasis 2
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- Monoclonal and Polyclonal Antibodies Research 4
- MRI in cancer diagnosis 3
- Radiopharmaceutical Chemistry and Applications 2
- Co-authors
- Rita S. Mehta (12 shared papers)Jeon‐Hor Chen (6 shared papers)Min‐Ying Su (6 shared papers)Yang Zhang (5 shared papers)Philip C. Miller (1 shared paper)Sanket H. Shah (1 shared paper)Ram H. Datar (1 shared paper)Dorraya El‐Ashry (1 shared paper)
- Journals
- Journal of Clinical Oncology (5 papers)Cancer Research (2 papers)Frontiers in Oncology (2 papers)Academic Radiology (2 papers)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Ritesh Parajuli
24 papers receiving 533 citations
Peers
Comparison fields: 5 of 76
- Radiology, Nuclear Medicine and Imaging 160
- Oncology 182
- Health Informatics 9
- Cancer Research 80
- Neurology 38
Countries citing papers authored by Ritesh Parajuli
This map shows the geographic impact of Ritesh Parajuli'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 Ritesh Parajuli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ritesh Parajuli more than expected).
Fields of papers citing papers by Ritesh Parajuli
This network shows the impact of papers produced by Ritesh Parajuli. 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 Ritesh Parajuli. The network helps show where Ritesh Parajuli may publish in the future.
Co-authors
The 25 scholars most cited alongside Ritesh Parajuli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 175 | |
| 2 | 2020 | 103 | |
| 3 | 2023 | 55 | |
| 4 | 2020 | 51 | |
| 5 | 2020 | 29 | |
| 6 | 2009 | 18 | |
| 7 | 2021 | 15 | |
| 8 | 2019 | 14 | |
| 9 | 2021 | 12 | |
| 10 | 2021 | 10 | |
| 11 | 2010 | 10 | |
| 12 | 2023 | 8 | |
| 13 | 2023 | 7 | |
| 14 | 2018 | 7 | |
| 15 | 2019 | 6 | |
| 16 | 2023 | 4 | |
| 17 | 2022 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2019 | 3 | |
| 20 | 2025 | 2 |
About Ritesh Parajuli
Ritesh Parajuli is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Molecular Biology and Biomedical Engineering, having authored 28 papers that have together received 541 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (6 papers), Advanced Breast Cancer Therapies (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), CAR-T cell therapy research (4 papers), MRI in cancer diagnosis (3 papers), Cancer Cells and Metastasis (2 papers), Brain Metastases and Treatment (2 papers) and Radiopharmaceutical Chemistry and Applications (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (160 citations), Oncology (182 citations), Health Informatics (9 citations), Cancer Research (80 citations) and Neurology (38 citations). Ritesh Parajuli has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Rita S. Mehta, Jeon‐Hor Chen, Min‐Ying Su, Yang Zhang, Philip C. Miller, Sanket H. Shah, Ram H. Datar, Dorraya El‐Ashry, Anthony Williams and Marc E. Lippman. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Frontiers in Oncology, Academic Radiology and Clinical Cancer Research.
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.