Glynn D. Williams

30 total papers · 541 total citations
20 papers, 424 citations indexed

About

Glynn D. Williams is a scholar working on Organic Chemistry, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Glynn D. Williams has authored 20 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Organic Chemistry, 11 papers in Molecular Biology and 4 papers in Biomedical Engineering. Recurrent topics in Glynn D. Williams's work include Chemical Synthesis and Analysis (5 papers), Click Chemistry and Applications (4 papers) and Catalytic C–H Functionalization Methods (4 papers). Glynn D. Williams is often cited by papers focused on Chemical Synthesis and Analysis (5 papers), Click Chemistry and Applications (4 papers) and Catalytic C–H Functionalization Methods (4 papers). Glynn D. Williams collaborates with scholars based in United Kingdom, United States and Egypt. Glynn D. Williams's co-authors include Martin Wills, Geoffrey R. Moore, Peter R. Clark, Nicholas C. O. Tomkinson, Irina B. Valtcheva, Jerome F. Hayes, Jeong F. Kim, Mike S. Anson, Piers R. J. Gaffney and Andrew G. Livingston and has published in prestigious journals such as Angewandte Chemie International Edition, Chemical Communications and Chemistry - A European Journal.

In The Last Decade

Glynn D. Williams

20 papers receiving 414 citations

Author Peers

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

Author						Papers	Cites
Glynn D. Williams	215	176	149	90	34	20	424
A. Neves	114 0.5×	73 0.4×	75 0.5×	54 0.6×	37 1.1×	23	455
Menahem A. Kraus	291 1.4×	188 1.1×	67 0.4×	99 1.1×	20 0.6×	19	436
Cécile Machut	221 1.0×	93 0.5×	85 0.6×	86 1.0×	17 0.5×	24	409
Katherine E. Jolley	221 1.0×	148 0.8×	211 1.4×	265 2.9×	57 1.7×	17	481
Xuan Ding	277 1.3×	49 0.3×	93 0.6×	32 0.4×	26 0.8×	23	448
Leland R. Widger	169 0.8×	79 0.4×	255 1.7×	23 0.3×	22 0.6×	15	461
Tom Gaide	216 1.0×	48 0.3×	153 1.0×	117 1.3×	159 4.7×	16	423
Jiashun Cheng	258 1.2×	88 0.5×	124 0.8×	33 0.4×	9 0.3×	11	430
Zhenguo Zhang	222 1.0×	126 0.7×	61 0.4×	25 0.3×	11 0.3×	43	399
Donald F. Reinhold	191 0.9×	129 0.7×	39 0.3×	40 0.4×	9 0.3×	12	383

Countries citing papers authored by Glynn D. Williams

Since Specialization

Citations

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

Fields of papers citing papers by Glynn D. Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Glynn D. Williams

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