Samuel H. Sigal
- Hepatology top 0.2%
- Epidemiology top 1%
- Surgery top 2%
- Molecular Biology
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Arun J. SanyalLola M. ReidShlomo BrillGuadalupe García–TsaoLewis TepermanKimberly L. BeaversWilliam P. ForbesEnoch Bortey
- Topics
- Liver Disease Diagnosis and Treatment (37 papers)Liver Disease and Transplantation (30 papers)Hepatitis C virus research (23 papers)
- Cited by
- HepatologyEpidemiologySurgery
- Journals
- New England Journal of MedicineSHILAP Revista de lepidopterologíaGastroenterology
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Samuel H. Sigal
75 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Hepatology 2.8k
- Epidemiology 2.4k
- Surgery 1.4k
- Molecular Biology 477
- Pulmonary and Respiratory Medicine 406
Countries citing papers authored by Samuel H. Sigal
This map shows the geographic impact of Samuel H. Sigal'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 Samuel H. Sigal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel H. Sigal more than expected).
Fields of papers citing papers by Samuel H. Sigal
This network shows the impact of papers produced by Samuel H. Sigal. 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 Samuel H. Sigal. The network helps show where Samuel H. Sigal may publish in the future.
Co-authorship network of co-authors of Samuel H. Sigal
This figure shows the co-authorship network connecting the top 25 collaborators of Samuel H. Sigal. A scholar is included among the top collaborators of Samuel H. Sigal 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 Samuel H. Sigal. Samuel H. Sigal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 9 | |
| 4 | 16 | |
| 5 | 4 | |
| 6 | 131 | |
| 7 | 0 | |
| 8 | Treatment of HCV with ABT-450/r–Ombitasvir and Dasabuvir with Ribavirinbreakdown → | 686 |
| 9 | 7 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 4 | |
| 13 | 4 | |
| 14 | 327 | |
| 15 | 54 | |
| 16 | 8 | |
| 17 | 71 | |
| 18 | 10 | |
| 19 | 18 | |
| 20 | 20 |
About Samuel H. Sigal
Samuel H. Sigal is a scholar working on Hepatology, Epidemiology and Nephrology, having authored 80 papers that have together received 4.2k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (37 papers), Liver Disease and Transplantation (30 papers) and Hepatitis C virus research (23 papers). The work is most often cited by research in Hepatology (2.8k citations), Epidemiology (2.4k citations) and Surgery (1.4k citations). Samuel H. Sigal has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Arun J. Sanyal, Lola M. Reid, Shlomo Brill, Guadalupe García–Tsao, Lewis Teperman, Kimberly L. Beavers, William P. Forbes, Enoch Bortey, Fred Poordad and Kunal Merchant. Their work appears in journals such as New England Journal of Medicine, 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.