G C Williams

21 total papers · 662 total citations
20 papers, 548 citations indexed

About

G C Williams is a scholar working on Oncology, Surgery and Molecular Biology. According to data from OpenAlex, G C Williams has authored 20 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 8 papers in Surgery and 7 papers in Molecular Biology. Recurrent topics in G C Williams's work include Drug Transport and Resistance Mechanisms (16 papers), Metabolism and Genetic Disorders (5 papers) and Pediatric Hepatobiliary Diseases and Treatments (5 papers). G C Williams is often cited by papers focused on Drug Transport and Resistance Mechanisms (16 papers), Metabolism and Genetic Disorders (5 papers) and Pediatric Hepatobiliary Diseases and Treatments (5 papers). G C Williams collaborates with scholars based in United States. G C Williams's co-authors include Russell F. Hanson, Harvey L. Sharp, James B. Carey, Gregory A. Grabowski, Peter Klein, Patricia A. Szczepanik, David L. Hachey, J. Nevin Isenberg, James G. White and Janet D. Peller and has published in prestigious journals such as Science, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

G C Williams

20 papers receiving 485 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
G C Williams	261	206	176	171	80	20	548
H. J. Weis	228 0.9×	314 1.5×	132 0.8×	63 0.4×	118 1.5×	21	585
E Kok	285 1.1×	346 1.7×	215 1.2×	91 0.5×	68 0.8×	20	568
Rick Havinga	276 1.1×	238 1.2×	161 0.9×	42 0.2×	115 1.4×	12	539
B. Kommerell	217 0.8×	165 0.8×	90 0.5×	53 0.3×	116 1.4×	32	555
Chizuru Watanabe	126 0.5×	144 0.7×	196 1.1×	68 0.4×	156 1.9×	19	593
K Miyai	209 0.8×	119 0.6×	159 0.9×	39 0.2×	74 0.9×	35	517
E. R. L. O’Máille	328 1.3×	114 0.6×	65 0.4×	57 0.3×	78 1.0×	11	449
A Sanghvi	125 0.5×	206 1.0×	153 0.9×	38 0.2×	35 0.4×	21	545
Leandro R. Soria	84 0.3×	143 0.7×	333 1.9×	74 0.4×	121 1.5×	20	531
F. W. Cheng	258 1.0×	279 1.4×	217 1.2×	95 0.6×	52 0.7×	14	547

Countries citing papers authored by G C Williams

Since Specialization

Citations

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

Fields of papers citing papers by G C Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G C Williams

This figure shows the co-authorship network connecting the top 25 collaborators of G C Williams. A scholar is included among the top collaborators of G C 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 G C Williams. G C 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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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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