H.S. Williams
Impact in
- Hepatology top 2%
- Liver Disease and Transplantation
- Nephrology top 5%
- Renal function and acid-base balance
Papers in
-
- Liver Disease Diagnosis and Treatment 8
-
- Liver Disease and Transplantation 9
- Co-authors
- L Kreel (3 shared papers)C. S. Pitcher (4 shared papers)Sheila Sherlock (2 shared papers)Rajesh Varma (1 shared paper)P W Brunt (1 shared paper)M C Kew (1 shared paper)Sheila Sherlock (3 shared papers)Mary L. Forsling (1 shared paper)
- Journals
- The Lancet (5 papers)British Journal of Radiology (2 papers)Lara D. Veeken (2 papers)Metabolism (1 paper)British Journal of Dermatology (1 paper)
- Partner nations
- United KingdomUnited StatesMexico
In The Last Decade
H.S. Williams
27 papers receiving 722 citations
Peers
Comparison fields: 5 of 91
- Hepatology 319
- Nephrology 77
- Hematology 106
- Genetics 71
- Epidemiology 218
Countries citing papers authored by H.S. Williams
This map shows the geographic impact of H.S. Williams'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 H.S. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H.S. Williams more than expected).
Fields of papers citing papers by H.S. Williams
This network shows the impact of papers produced by H.S. Williams. 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 H.S. Williams. The network helps show where H.S. Williams may publish in the future.
Co-authors
The 25 scholars most cited alongside H.S. Williams, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1971 | 140 | |
| 2 | Splenic blood flow in cirrhosis and portal hypertension. | 1968 | 101 |
| 3 | 1961 | 70 | |
| 4 | Splenic blood flow and resistance in patients with cirrhosis before and after portacaval anastomoses. | 1969 | 54 |
| 5 | 1966 | 50 | |
| 6 | 1965 | 49 | |
| 7 | 1970 | 47 | |
| 8 | 1984 | 42 | |
| 9 | 1967 | 36 | |
| 10 | 1967 | 33 | |
| 11 | 1979 | 29 | |
| 12 | 1969 | 28 | |
| 13 | 1969 | 27 | |
| 14 | 1965 | 27 | |
| 15 | 1961 | 24 | |
| 16 | 1961 | 20 | |
| 17 | 1965 | 19 | |
| 18 | 1968 | 19 | |
| 19 | 1981 | 17 | |
| 20 | 1956 | 10 |
About H.S. Williams
H.S. Williams is a scholar working on Epidemiology, Hepatology, Radiology, Nuclear Medicine and Imaging, Surgery and Nephrology, having authored 28 papers that have together received 869 indexed citations. Recurring topics across this work include Liver Disease and Transplantation (9 papers), Liver Disease Diagnosis and Treatment (8 papers), Iron Metabolism and Disorders (3 papers), Renal function and acid-base balance (3 papers), Neuroendocrine regulation and behavior (2 papers), Medical Imaging Techniques and Applications (2 papers), Electrolyte and hormonal disorders (2 papers) and Reproductive Physiology in Livestock (2 papers). The work is most often cited by research in Hepatology (319 citations), Nephrology (77 citations), Hematology (106 citations), Genetics (71 citations) and Epidemiology (218 citations). H.S. Williams has collaborated with scholars based in United Kingdom, United States and Mexico. Frequent co-authors include L Kreel, C. S. Pitcher, Sheila Sherlock, Rajesh Varma, P W Brunt, M C Kew, Sheila Sherlock, Mary L. Forsling, Norman Gitlin and R. E. Condon. Their work appears in journals such as The Lancet, British Journal of Radiology, Lara D. Veeken, Metabolism and British Journal of Dermatology.
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.