Guy Williams

504 total citations · 1 hit paper
6 papers, 249 citations indexed

About

Guy Williams is a scholar working on Genetics, Pulmonary and Respiratory Medicine and Physiology. According to data from OpenAlex, Guy Williams has authored 6 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Genetics, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Physiology. Recurrent topics in Guy Williams's work include Erythrocyte Function and Pathophysiology (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper) and Blood properties and coagulation (1 paper). Guy Williams is often cited by papers focused on Erythrocyte Function and Pathophysiology (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper) and Blood properties and coagulation (1 paper). Guy Williams collaborates with scholars based in United States and United Kingdom. Guy Williams's co-authors include Lechler Ri, Yves Rees, Phil Mason, Paul Christensen, Madison Shyer, Jessica Cambric, Matthew Ojeda Saavedra, Ryan Gadd, Jimmy Gollihar and Akanksha Batajoo and has published in prestigious journals such as American Journal Of Pathology, Clinical Chemistry and Transplantation.

In The Last Decade

Guy Williams

6 papers receiving 242 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

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

2022 127 citations Paul Christensen, Randall J. Olsen et al. American Journal Of Pathology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Guy Williams United States	3	116	77	50	37	27	6	249
Maxime Espi France	5	91 0.8×	58 0.8×	20 0.4×	20 0.5×	14 0.5×	9	218
Manabu Kitagaki Japan	6	145 1.3×	53 0.7×	27 0.5×	16 0.4×	63 2.3×	7	241
Chavachol Setthaudom Thailand	10	111 1.0×	21 0.3×	25 0.5×	18 0.5×	15 0.6×	23	218
Dominika Dęborska−Materkowska Poland	10	87 0.8×	43 0.6×	81 1.6×	31 0.8×	5 0.2×	34	250
Adam Lee United States	8	157 1.4×	92 1.2×	29 0.6×	28 0.8×	31 1.1×	32	359
Timothy Chevassut United Kingdom	6	160 1.4×	56 0.7×	17 0.3×	14 0.4×	67 2.5×	15	249
Mohamed Yaseen Alsabbagh Iran	4	138 1.2×	28 0.4×	36 0.7×	30 0.8×	63 2.3×	6	285
Francesca Compagno Italy	7	92 0.8×	122 1.6×	80 1.6×	32 0.9×	15 0.6×	15	228
Erol Demir Türkiye	12	131 1.1×	42 0.5×	44 0.9×	61 1.6×	44 1.6×	59	344
Ayman Al Jurdi United States	9	141 1.2×	38 0.5×	25 0.5×	40 1.1×	27 1.0×	29	242

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-authorship network of co-authors of Guy Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Guy Williams. A scholar is included among the top collaborators of Guy Williams 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 Guy Williams. Guy Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

1.

Christensen, Paul, Randall J. Olsen, Sheng Long, et al.. (2022). 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. American Journal Of Pathology. 192(4). 642–652. 127 indexed citations breakdown →

2.

Rees, Yves, et al.. (1995). MALIGNANT DISEASE IN PATIENTS WITH LONG-TERM RENAL TRANSPLANTS. Transplantation. 59(12). 1705–1709. 105 indexed citations

3.

Williams, Guy, et al.. (1984). Clearance From the Anterior Chamber of RBCs From Human Diabetics. Archives of Ophthalmology. 102(6). 930–931. 2 indexed citations

4.

Kubicek, Marc F., et al.. (1983). Liquid-chromatographic quantification of piracetam.. Clinical Chemistry. 29(4). 664–666. 12 indexed citations

5.

Henry, Raymond L., et al.. (1982). Erythrocyte-endothelial cell adherence in sickle cell disease, diabetes mellitus, and falciparum malaria: Adverse effects reversed with Piracetam. Medical Hypotheses. 8(2). 155–162. 2 indexed citations

6.

Henry, Raymond L., et al.. (1981). Polymyalgia rheumatica and giant cell arteritis—Rational diagnosis and treatment predicated on disordered prostaglandin metabolism. Medical Hypotheses. 7(9). 1169–1182. 1 indexed citations

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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