Amit Singal
Impact in
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver Disease and Transplantation
-
- Liver Disease Diagnosis and Treatment
- Hepatitis B Virus Studies
Papers in
- Epidemiology 10
- Liver Disease Diagnosis and Treatment 5
- Nail Diseases and Treatments 2
- Surgery 9
- Eosinophilic Esophagitis 3
- Co-authors
- Jorge A. Marrero (2 shared papers)Clayton Trimmer (1 shared paper)Jacqui Shaw (1 shared paper)Muhammad Shaalan Beg (1 shared paper)Gaurav Khatri (1 shared paper)Iván Pedrosa (1 shared paper)Rotem Naftalovich (1 shared paper)Juan D. Arenas (1 shared paper)
- Journals
- Journal of the American Academy of Dermatology (6 papers)Cancers (3 papers)Hepatology (2 papers)Journal of Hepatology (1 paper)Clinical Gastroenterology and Hepatology (1 paper)
- Partner nations
- United StatesUnited KingdomThailand
In The Last Decade
Amit Singal
18 papers receiving 370 citations
Peers
Comparison fields: 5 of 62
- Hepatology 172
- Epidemiology 139
- Oncology 89
- Surgery 115
- Pathology and Forensic Medicine 36
Countries citing papers authored by Amit Singal
This map shows the geographic impact of Amit Singal'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 Amit Singal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Singal more than expected).
Fields of papers citing papers by Amit Singal
This network shows the impact of papers produced by Amit Singal. 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 Amit Singal. The network helps show where Amit Singal may publish in the future.
Co-authors
The 25 scholars most cited alongside Amit Singal, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 166 | |
| 2 | 2018 | 69 | |
| 3 | 2022 | 38 | |
| 4 | 2014 | 31 | |
| 5 | 2023 | 28 | |
| 6 | 2021 | 14 | |
| 7 | 2019 | 12 | |
| 8 | 2023 | 4 | |
| 9 | 2025 | 3 | |
| 10 | 2024 | 2 | |
| 11 | 2024 | 1 | |
| 12 | 2025 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2010 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Amit Singal
Amit Singal is a scholar working on Epidemiology, Surgery, Dermatology, Hepatology and Rheumatology, having authored 27 papers that have together received 375 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Eosinophilic Esophagitis (3 papers), Nail Diseases and Treatments (2 papers), Dermatology and Skin Diseases (2 papers), Poxvirus research and outbreaks (2 papers), Cutaneous lymphoproliferative disorders research (2 papers) and Eosinophilic Disorders and Syndromes (2 papers). The work is most often cited by research in Hepatology (172 citations), Epidemiology (139 citations), Oncology (89 citations), Surgery (115 citations) and Pathology and Forensic Medicine (36 citations). Amit Singal has collaborated with scholars based in United States, United Kingdom and Thailand. Frequent co-authors include Jorge A. Marrero, Clayton Trimmer, Jacqui Shaw, Muhammad Shaalan Beg, Gaurav Khatri, Iván Pedrosa, Rotem Naftalovich, Juan D. Arenas, Mark Reddick and John C. Mansour. Their work appears in journals such as Journal of the American Academy of Dermatology, Cancers, Hepatology, Journal of Hepatology and Clinical Gastroenterology and Hepatology.
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.