Raj Mohan Paspulati
- Surgery top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Oncology top 10%
- Pulmonary and Respiratory Medicine top 10%
- Hepatology top 10%
- Co-authors
- Krishna ShanbhogueKevin KaliszSrinivasa R. PrasadConor P. DelaneyMaitray D. PatelVenkata S. KatabathinaSusan M. AscherMarjorie W. Stein
- Topics
- Radiomics and Machine Learning in Medical Imaging (14 papers)Colorectal Cancer Surgical Treatments (7 papers)Cholangiocarcinoma and Gallbladder Cancer Studies (7 papers)
- Partner nations
- United StatesEgyptCanada
In The Last Decade
Raj Mohan Paspulati
54 papers receiving 811 citations
Peers
Comparison fields: 5 of 63
- Surgery 343
- Radiology, Nuclear Medicine and Imaging 298
- Oncology 252
- Pulmonary and Respiratory Medicine 214
- Hepatology 100
Countries citing papers authored by Raj Mohan Paspulati
This map shows the geographic impact of Raj Mohan Paspulati'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 Raj Mohan Paspulati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raj Mohan Paspulati more than expected).
Fields of papers citing papers by Raj Mohan Paspulati
This network shows the impact of papers produced by Raj Mohan Paspulati. 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 Raj Mohan Paspulati. The network helps show where Raj Mohan Paspulati may publish in the future.
Co-authorship network of co-authors of Raj Mohan Paspulati
This figure shows the co-authorship network connecting the top 25 collaborators of Raj Mohan Paspulati. A scholar is included among the top collaborators of Raj Mohan Paspulati 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 Raj Mohan Paspulati. Raj Mohan Paspulati is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 7 | |
| 6 | 7 | |
| 7 | 17 | |
| 8 | 3 | |
| 9 | 14 | |
| 10 | 7 | |
| 11 | 21 | |
| 12 | 18 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 6 | |
| 17 | 11 | |
| 18 | 18 | |
| 19 | 12 | |
| 20 | 5 |
About Raj Mohan Paspulati
Raj Mohan Paspulati is a scholar working on Rheumatology, Radiology, Nuclear Medicine and Imaging and Obstetrics and Gynecology, having authored 59 papers that have together received 830 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (14 papers), Colorectal Cancer Surgical Treatments (7 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (298 citations), Hepatology (100 citations) and Oncology (252 citations). Raj Mohan Paspulati has collaborated with scholars based in United States, Egypt and Canada. Frequent co-authors include Krishna Shanbhogue, Kevin Kalisz, Srinivasa R. Prasad, Conor P. Delaney, Maitray D. Patel, Venkata S. Katabathina, Susan M. Ascher, Marjorie W. Stein, Lincoln L. Berland and Evan S. Siegelman. Their work appears in journals such as Gastroenterology, Scientific Reports and IEEE Access.
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.