Guy Williams
Impact in
- Transplantation top 10%
- Renal Transplantation Outcomes and Treatments
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
Papers in
- Genetics 2
- Hemoglobinopathies and Related Disorders 1
- Co-authors
- Phil Mason (1 shared paper)Lechler Ri (1 shared paper)Yves Rees (1 shared paper)Matthew Ojeda Saavedra (1 shared paper)Sheng Long (1 shared paper)Jacob Kinskey (1 shared paper)Madison Shyer (1 shared paper)James M. Musser (1 shared paper)
- Journals
- Clinical Chemistry (1 paper)Transplantation (1 paper)American Journal Of Pathology (1 paper)Medical Hypotheses (2 papers)Archives of Ophthalmology (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Guy Williams
6 papers receiving 242 citations
Guy Williams's Hit Papers
Peers
Comparison fields: 5 of 58
- Transplantation 20
- Infectious Diseases 116
- Modeling and Simulation 18
- Oncology 77
- Neurology 27
Countries citing papers authored by Guy Williams
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
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 25 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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Signals of Significantly Increased Vaccine Breakthrough, Decreased Hospitalization Rates, and Less Severe Disease in Patients with Coronavirus Disease 2019 Caused by the Omicron Variant of Severe Acute Respiratory Syndrome Coronavirus 2 in Houston, Texas Hit paper breakdown → | 2022 | 127 |
| 2 | 1995 | 105 | |
| 3 | 1983 | 12 | |
| 4 | 1984 | 2 | |
| 5 | 1982 | 2 | |
| 6 | 1981 | 1 |
About Guy Williams
Guy Williams is a scholar working on Genetics, Pulmonary and Respiratory Medicine, Physiology, Infectious Diseases and Oncology, having authored 6 papers that have together received 249 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (2 papers), Advanced Chemical Sensor Technologies (1 paper), Mast cells and histamine (1 paper), Hemoglobinopathies and Related Disorders (1 paper), Nonmelanoma Skin Cancer Studies (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), Analytical Chemistry and Chromatography (1 paper) and Molecular Sensors and Ion Detection (1 paper). The work is most often cited by research in Transplantation (20 citations), Infectious Diseases (116 citations), Modeling and Simulation (18 citations), Oncology (77 citations) and Neurology (27 citations). Guy Williams has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Phil Mason, Lechler Ri, Yves Rees, Matthew Ojeda Saavedra, Sheng Long, Jacob Kinskey, Madison Shyer, James M. Musser, Randall J. Olsen and Jessica Cambric. Their work appears in journals such as Clinical Chemistry, Transplantation, American Journal Of Pathology, Medical Hypotheses and Archives of Ophthalmology.
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.