H.S. Williams

1.1k citations
28 papers · 870 indexed · h-index 18

Impact in

  • Hepatology top 2%
    • Liver Disease and Transplantation
  • Nephrology top 10%
    • Renal function and acid-base balance

Papers in

H.S. Williams

27 papers receiving 723 citations

Peers

H.S. Williams
Comparison fields: 5 of 92
  • Hepatology 329
  • Nephrology 81
  • Hematology 106
  • Genetics 76
  • Epidemiology 236
Replace J Klupp with:
J Klupp Germany
E. Ventura Italy
Martina David Germany
G Stalder Switzerland
H. Bell Norway
T. E. Bynum United States
P Escartín Spain
Monika Bayer United States
Andrew Nicholls United States
S Takaya United States
H.S. Williams relative to J Klupp Germany J Klupp's profile →
Citations per field
00.5×3.8×
J Klupp · 1×
Citations per year

Countries citing papers authored by H.S. Williams

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with H.S. Williams Line = papers co-authored together H.S. Williams links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1971140
2
Splenic blood flow in cirrhosis and portal hypertension.
1968101
3 196170
4
Splenic blood flow and resistance in patients with cirrhosis before and after portacaval anastomoses.
196955
5 196650
6 196549
7 197047
8 198442
9 196736
10 196733
11 197929
12 196928
13 196927
14 196527
15 196124
16 196120
17 196819
18 196519
19 198117
20 195610

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 870 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), Medical Imaging Techniques and Applications (2 papers), Neuroendocrine regulation and behavior (2 papers), Reproductive Physiology in Livestock (2 papers) and Electrolyte and hormonal disorders (2 papers). The work is most often cited by research in Hepatology (329 citations), Nephrology (81 citations), Hematology (106 citations), Genetics (76 citations) and Epidemiology (236 citations). H.S. Williams has collaborated with scholars based in United Kingdom, Mexico and United States. Frequent co-authors include L Kreel, C. S. Pitcher, Sheila Sherlock, M C Kew, Rajesh Varma, P W Brunt, Sheila Sherlock, Mary L. Forsling, Laurence M. Blendis and Gordon R. Grahame. Their work appears in journals such as The Lancet, Lara D. Veeken, British Journal of Radiology, Journal of Pharmacy and Pharmacology and British Journal of Haematology.

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.

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