Ritesh Parajuli

About

Ritesh Parajuli is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ritesh Parajuli has authored 24 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 8 papers in Pulmonary and Respiratory Medicine and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ritesh Parajuli’s work include Radiomics and Machine Learning in Medical Imaging (6 papers), MRI in cancer diagnosis (6 papers) and AI in cancer detection (5 papers). Ritesh Parajuli is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), MRI in cancer diagnosis (6 papers) and AI in cancer detection (5 papers). Ritesh Parajuli collaborates with scholars based in United States, Taiwan and China. Ritesh Parajuli's co-authors include Rita S. Mehta, Sanket H. Shah, Zheng Ao, Ram H. Datar, Philip C. Miller, Marc E. Lippman, Min‐Ying Su, Siddarth Rawal, Jeon‐Hor Chen and Richard J. Côté and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Ritesh Parajuli i

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Fields of papers citing papers by Ritesh Parajuli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Ritesh Parajuli

Since Specialization

Citations

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).

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.

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