C. H. Williams

81 total papers · 564 total citations
32 papers, 329 citations indexed

About

C. H. Williams is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, C. H. Williams has authored 32 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 8 papers in Oncology. Recurrent topics in C. H. Williams's work include Peptidase Inhibition and Analysis (8 papers), Neuropeptides and Animal Physiology (5 papers) and Amino Acid Enzymes and Metabolism (4 papers). C. H. Williams is often cited by papers focused on Peptidase Inhibition and Analysis (8 papers), Neuropeptides and Animal Physiology (5 papers) and Amino Acid Enzymes and Metabolism (4 papers). C. H. Williams collaborates with scholars based in United Kingdom, United States and Japan. C. H. Williams's co-authors include Janet Brownlees, D. T. Elmore, David J. S. Guthrie, Robert Beattie, Brett W. Lennon, Dominic M. Walsh, L. David Arscott, David Allsop, F.R.C. Backwell and Tatsuro Yoshida and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Biochemistry.

In The Last Decade

C. H. Williams

30 papers receiving 298 citations

Author Peers

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

Author						Papers	Cites
C. H. Williams	168	76	72	53	38	32	329
Kenichi Kïshida	231 1.4×	49 0.6×	22 0.3×	41 0.8×	28 0.7×	26	353
Bryan Johnson	166 1.0×	97 1.3×	24 0.3×	22 0.4×	51 1.3×	14	364
M. G. Price	122 0.7×	41 0.5×	19 0.3×	35 0.7×	13 0.3×	29	363
Eiichi Nakajima	115 0.7×	50 0.7×	41 0.6×	15 0.3×	25 0.7×	48	356
Karel Janáček	168 1.0×	27 0.4×	16 0.2×	22 0.4×	16 0.4×	15	361
Danel Kortázar	198 1.2×	26 0.3×	49 0.7×	44 0.8×	21 0.6×	13	360
K. S. Devaraju	100 0.6×	24 0.3×	21 0.3×	36 0.7×	20 0.5×	31	313
Hezhen Wang	107 0.6×	50 0.7×	36 0.5×	66 1.2×	4 0.1×	25	323
Qian Lin	120 0.7×	84 1.1×	82 1.1×	23 0.4×	7 0.2×	25	351
Sakura Yoshida	148 0.9×	31 0.4×	22 0.3×	30 0.6×	9 0.2×	37	329

Countries citing papers authored by C. H. Williams

Since Specialization

Citations

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

Fields of papers citing papers by C. H. Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. H. Williams

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