G. Williams

46 total papers · 817 total citations
33 papers, 615 citations indexed

About

G. Williams is a scholar working on Animal Science and Zoology, Aquatic Science and Nutrition and Dietetics. According to data from OpenAlex, G. Williams has authored 33 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Animal Science and Zoology, 9 papers in Aquatic Science and 9 papers in Nutrition and Dietetics. Recurrent topics in G. Williams's work include Animal Nutrition and Physiology (10 papers), Aquaculture Nutrition and Growth (9 papers) and Fatty Acid Research and Health (8 papers). G. Williams is often cited by papers focused on Animal Nutrition and Physiology (10 papers), Aquaculture Nutrition and Growth (9 papers) and Fatty Acid Research and Health (8 papers). G. Williams collaborates with scholars based in United Kingdom, United States and Kazakhstan. G. Williams's co-authors include Michael A. Crawford, A.G. Hassam, W. L. Whitehouse, Kebreab Ghebremeskel, I. Kourakis, L. S. Harbige, Tony D. Williams, M.A. Crawford, William F. Perrin and M.S. Sepúlveda and has published in prestigious journals such as The Lancet, Microbiology and Progress in Lipid Research.

In The Last Decade

G. Williams

32 papers receiving 561 citations

Author Peers

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

Author						Papers	Cites
G. Williams	282	132	106	79	74	33	615
R S Beach	229 0.8×	35 0.3×	69 0.7×	67 0.8×	55 0.7×	14	628
A. Montes	41 0.1×	77 0.6×	19 0.2×	75 0.9×	62 0.8×	38	552
Fernando Dutra	49 0.2×	43 0.3×	22 0.2×	64 0.8×	162 2.2×	59	694
Theresa L. Frankel	125 0.4×	11 0.1×	63 0.6×	53 0.7×	90 1.2×	20	528
Margaret W. Stanier	60 0.2×	61 0.5×	52 0.5×	167 2.1×	43 0.6×	33	609
Charles E. Cornelius	40 0.1×	225 1.7×	28 0.3×	60 0.8×	210 2.8×	55	656
Karen A. Golemboski	109 0.4×	17 0.1×	22 0.2×	35 0.4×	49 0.7×	19	511
Bettina Schelkle	45 0.2×	67 0.5×	188 1.8×	47 0.6×	126 1.7×	21	650
R. L. Jayakody	64 0.2×	30 0.2×	131 1.2×	162 2.1×	60 0.8×	27	621
H. Talke	75 0.3×	32 0.2×	16 0.2×	146 1.8×	134 1.8×	24	672

Countries citing papers authored by G. Williams

Since Specialization

Citations

This map shows the geographic impact of 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 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 G. Williams more than expected).

Fields of papers citing papers by G. Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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