Rakesh Aggarwal
- Hepatology top 0.1%
- Infectious Diseases top 0.5%
- Epidemiology top 1%
- Surgery top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- Priya RanganathanC.S. PrameshAmit GoelS. R. NaikSita NaikShahid JameelKrzysztof KrawczynskiUday C. Ghoshal
- Topics
- Hepatitis Viruses Studies and Epidemiology (82 papers)Liver Disease and Transplantation (59 papers)Viral gastroenteritis research and epidemiology (48 papers)
- Journals
- The LancetSHILAP Revista de lepidopterologíaGastroenterology
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Rakesh Aggarwal
255 papers receiving 8.6k citations
Hit Papers
Peers
Comparison fields: 5 of 210
- Hepatology 4.1k
- Infectious Diseases 2.4k
- Epidemiology 2.4k
- Surgery 1.3k
- Radiology, Nuclear Medicine and Imaging 496
Countries citing papers authored by Rakesh Aggarwal
This map shows the geographic impact of Rakesh Aggarwal'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 Rakesh Aggarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rakesh Aggarwal more than expected).
Fields of papers citing papers by Rakesh Aggarwal
This network shows the impact of papers produced by Rakesh Aggarwal. 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 Rakesh Aggarwal. The network helps show where Rakesh Aggarwal may publish in the future.
Co-authorship network of co-authors of Rakesh Aggarwal
This figure shows the co-authorship network connecting the top 25 collaborators of Rakesh Aggarwal. A scholar is included among the top collaborators of Rakesh Aggarwal 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 Rakesh Aggarwal. Rakesh Aggarwal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 17 | |
| 5 | 2 | |
| 6 | 12 | |
| 7 | 17 | |
| 8 | 4 | |
| 9 | 11 | |
| 10 | 4 | |
| 11 | 12 | |
| 12 | 14 | |
| 13 | 7 | |
| 14 | 49 | |
| 15 | 30 | |
| 16 | 41 | |
| 17 | 23 | |
| 18 | N-acetyltransferase and cytochrome P450 2E1 gene polymorphisms and susceptibility to antituberculosis drug hepatotoxicity in an Indian population. | 17 |
| 19 | HFE, hepcidin and ferroportin gene mutations are not present in Indian patients with primary haemochromatosis. | 8 |
| 20 | Normal pancreatic duct morphology in a north Indian population. | 6 |
About Rakesh Aggarwal
Rakesh Aggarwal is a scholar working on Hepatology, Health Informatics and Infectious Diseases, having authored 268 papers that have together received 8.9k indexed citations. Recurring topics across this work include Hepatitis Viruses Studies and Epidemiology (82 papers), Liver Disease and Transplantation (59 papers) and Viral gastroenteritis research and epidemiology (48 papers). The work is most often cited by research in Hepatology (4.1k citations), Infectious Diseases (2.4k citations) and Gastroenterology (442 citations). Rakesh Aggarwal has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Priya Ranganathan, C.S. Pramesh, Amit Goel, S. R. Naik, Sita Naik, Shahid Jameel, Krzysztof Krawczynski, Uday C. Ghoshal, Rakesh Kochhar and Mahesh Kumar Goenka. Their work appears in journals such as The Lancet, SHILAP Revista de lepidopterología and Gastroenterology.
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.