Frank G. Williams

70 total papers · 1.7k total citations
53 papers, 1.3k citations indexed

About

Frank G. Williams is a scholar working on General Health Professions, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Frank G. Williams has authored 53 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in General Health Professions, 13 papers in Cellular and Molecular Neuroscience and 11 papers in Physiology. Recurrent topics in Frank G. Williams's work include Neuropeptides and Animal Physiology (13 papers), Pain Mechanisms and Treatments (10 papers) and Interprofessional Education and Collaboration (9 papers). Frank G. Williams is often cited by papers focused on Neuropeptides and Animal Physiology (13 papers), Pain Mechanisms and Treatments (10 papers) and Interprofessional Education and Collaboration (9 papers). Frank G. Williams collaborates with scholars based in United States, Canada and New Zealand. Frank G. Williams's co-authors include Alvin J. Beitz, F. Ellen Netting, Robert Elde, Leona S. Aiken, Jonathan Butner, Jang‐Hern Lee, Bernd Mayer, Richard Price, Maureen Riedl and George L. Wilcox and has published in prestigious journals such as Neuron, The Journal of Comparative Neurology and Brain Research.

In The Last Decade

Frank G. Williams

51 papers receiving 1.3k citations

Author Peers

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

Author						Papers	Cites
Frank G. Williams	373	354	296	179	172	53	1.3k
Uta Ferrari	426 1.1×	230 0.6×	451 1.5×	149 0.8×	117 0.7×	54	1.7k
Lawrence Korngut	280 0.8×	246 0.7×	610 2.1×	113 0.6×	117 0.7×	76	1.6k
Sarah Marshall	338 0.9×	386 1.1×	525 1.8×	81 0.5×	69 0.4×	40	1.7k
Hisayuki Miura	548 1.5×	130 0.4×	288 1.0×	180 1.0×	237 1.4×	104	1.7k
Katja Matthias	140 0.4×	413 1.2×	292 1.0×	143 0.8×	173 1.0×	40	1.4k
John C. O’Donnell	211 0.6×	389 1.1×	368 1.2×	62 0.3×	185 1.1×	74	1.7k
Yuguang Huang	357 1.0×	191 0.5×	200 0.7×	85 0.5×	77 0.4×	85	1.6k
D M Jackson	661 1.8×	415 1.2×	360 1.2×	78 0.4×	135 0.8×	45	1.6k
Hao Huang	271 0.7×	190 0.5×	300 1.0×	275 1.5×	114 0.7×	77	1.7k
Tomoko Ito	407 1.1×	148 0.4×	497 1.7×	179 1.0×	89 0.5×	94	1.6k

Countries citing papers authored by Frank G. Williams

Since Specialization

Citations

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

Fields of papers citing papers by Frank G. Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank G. Williams

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