Sheela Agarwal
- Radiology, Nuclear Medicine and Imaging top 5%
- Health Informatics top 0.5%
- Hepatology top 5%
- Surgery
- Epidemiology
- Co-authors
- Keith J. DreyerBibb AllenChristoph WaldLaura P. CoombsSanjay SainiThomas ArnasonShefali AgrawalJacques Belghiti
- Topics
- Radiomics and Machine Learning in Medical Imaging (5 papers)MRI in cancer diagnosis (5 papers)Hepatocellular Carcinoma Treatment and Prognosis (5 papers)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Sheela Agarwal
25 papers receiving 655 citations
Peers
Comparison fields: 5 of 98
- Radiology, Nuclear Medicine and Imaging 318
- Health Informatics 184
- Hepatology 156
- Surgery 115
- Epidemiology 110
Countries citing papers authored by Sheela Agarwal
This map shows the geographic impact of Sheela Agarwal'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 Sheela Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheela Agarwal more than expected).
Fields of papers citing papers by Sheela Agarwal
This network shows the impact of papers produced by Sheela Agarwal. 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 Sheela Agarwal. The network helps show where Sheela Agarwal may publish in the future.
Co-authorship network of co-authors of Sheela Agarwal
This figure shows the co-authorship network connecting the top 25 collaborators of Sheela Agarwal. A scholar is included among the top collaborators of Sheela Agarwal 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 Sheela Agarwal. Sheela Agarwal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 51 | |
| 2 | 100 | |
| 3 | 81 | |
| 4 | 57 | |
| 5 | 37 | |
| 6 | 29 | |
| 7 | 22 | |
| 8 | 36 | |
| 9 | 5 | |
| 10 | 13 | |
| 11 | 62 | |
| 12 | 55 | |
| 13 | 7 | |
| 14 | 38 | |
| 15 | 5 | |
| 16 | 4 | |
| 17 | 10 | |
| 18 | 29 | |
| 19 | Giant cavernous haemangioma of the spleen presenting as massive splenomegaly and treated by partial splenectomy. | 6 |
| 20 | Histochemical demonstration of copper in livers of Indian childhood cirrhosis. | 3 |
About Sheela Agarwal
Sheela Agarwal is a scholar working on Health Informatics, Hepatology and Radiology, Nuclear Medicine and Imaging, having authored 25 papers that have together received 667 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), MRI in cancer diagnosis (5 papers) and Hepatocellular Carcinoma Treatment and Prognosis (5 papers). The work is most often cited by research in Health Informatics (184 citations), Hepatology (156 citations) and Radiology, Nuclear Medicine and Imaging (318 citations). Sheela Agarwal has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Keith J. Dreyer, Bibb Allen, Christoph Wald, Laura P. Coombs, Sanjay Saini, Thomas Arnason, Shefali Agrawal, Jacques Belghiti, Peter F. Hahn and Shadi Ebrahimian. Their work appears in journals such as New England Journal of Medicine, Gastroenterology and Radiology.
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.