Guy Williams

480 citations
9 papers · 374 · h-index 5

Impact in

Papers in

    • Renal Transplantation Outcomes and Treatments 1
    • Hemoglobinopathies and Related Disorders 1

Guy Williams

9 papers receiving 350 citations

Peers

Guy Williams
Comparison fields: 5 of 40
  • Transplantation 19
  • Infectious Diseases 112
  • Hepatology 32
  • Modeling and Simulation 12
  • Analytical Chemistry 11
Replace Oscar G. Mandό with:
Oscar G. Mandό Argentina
Henk W. van Hamersvelt Netherlands
Alexander R. Bonnel United States
Vera Aparecida dos Santos Brazil
Umapati N. Hegde India
J Vilardell Spain
Hamed Azhdari Tehrani Iran
Fernando Díaz‐Fontenla Spain
J.R. Larue France
Layla Pagnucco Italy
Guy Williams relative to Oscar G. Mandό Argentina Oscar G. Mandό's profile →
Citations per field
00.5×2×4×6×8×9.1×
Oscar G. Mandό · 1×
Citations per year

Countries citing papers authored by Guy Williams

Since Specialization
Citations

This map shows the geographic impact of Guy 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 Guy Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy Williams more than expected).

Fields of papers citing papers by Guy Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guy 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 Guy Williams. The network helps show where Guy Williams may publish in the future.

Co-authors

The 19 scholars most cited alongside Guy 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 Guy Williams Line = papers co-authored together Guy Williams links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2022165
2 1995113
3 199970
4 198312
5 20216
6 19823
7 19842
8
35th Annual Meeting of the European Association for the Study of Diabetes : Brussels, Belgium, 28 September-2 October 1999.
19992
9 19811

About Guy Williams

Guy Williams is a scholar working on Transplantation, Genetics, Analytical Chemistry, Rheumatology and Endocrinology, Diabetes and Metabolism, having authored 9 papers that have together received 374 indexed citations. Recurring topics across this work include Analytical Methods in Pharmaceuticals (1 paper), Folate and B Vitamins Research (1 paper), Renal Transplantation Outcomes and Treatments (1 paper), COVID-19 and healthcare impacts (1 paper), Hemoglobinopathies and Related Disorders (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), Diabetes Management and Research (1 paper) and Vasculitis and related conditions (1 paper). The work is most often cited by research in Transplantation (19 citations), Infectious Diseases (112 citations), Hepatology (32 citations), Modeling and Simulation (12 citations) and Analytical Chemistry (11 citations). Guy Williams has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Lechler Ri, Robert Olson, James M. Musser, Madison N. Shyer, Randall J. Olsen, Jimmy Gollihar, James J. Davis, Matthew Ojeda Saavedra, S. Wesley Long and Jacob C. Kinskey. Their work appears in journals such as Clinical Chemistry, Diabetologia, American Journal Of Pathology, British journal of surgery and Transplantation.

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.

Explore authors with similar magnitude of impact