G. L. White

17 total papers · 480 total citations
12 papers, 364 citations indexed

About

G. L. White is a scholar working on Molecular Biology, Epidemiology and Neurology. According to data from OpenAlex, G. L. White has authored 12 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Epidemiology and 2 papers in Neurology. Recurrent topics in G. L. White's work include Lipid metabolism and biosynthesis (2 papers), Immune Response and Inflammation (2 papers) and Pharmacological Effects of Natural Compounds (1 paper). G. L. White is often cited by papers focused on Lipid metabolism and biosynthesis (2 papers), Immune Response and Inflammation (2 papers) and Pharmacological Effects of Natural Compounds (1 paper). G. L. White collaborates with scholars based in United Kingdom, United States and Canada. G. L. White's co-authors include Masahiro Kai, J. N. Hawthorne, Martin G. Larrabee, L. B. Hinshaw, John L. Harwood, J. G. Salway, Stanley D. Kosanke, L. T. Archer, B. K. Beller and Gerald R. Galluppi and has published in prestigious journals such as Journal of Neurochemistry, Thrombosis and Haemostasis and Experimental Biology and Medicine.

In The Last Decade

G. L. White

12 papers receiving 336 citations

Author Peers

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

Author Last Decade Papers Cites
G. L. White 151 67 65 62 52 12 364
E. J. Brandt 174 1.2× 82 1.2× 24 0.4× 33 0.5× 74 1.4× 9 356
Charles C. Lund 118 0.8× 74 1.1× 16 0.2× 36 0.6× 86 1.7× 16 393
A. Sheltawy 191 1.3× 46 0.7× 36 0.6× 49 0.8× 56 1.1× 16 344
Vernon K. Vance 111 0.7× 30 0.4× 17 0.3× 25 0.4× 84 1.6× 12 392
Dhaval S. Patel 211 1.4× 49 0.7× 47 0.7× 26 0.4× 65 1.3× 8 360
R. A. Bayoumi 66 0.4× 39 0.6× 22 0.3× 47 0.8× 99 1.9× 12 365
Jungsu Kim 175 1.2× 41 0.6× 61 0.9× 11 0.2× 63 1.2× 12 364
Yoshibumi Shimizu 191 1.3× 65 1.0× 24 0.4× 23 0.4× 32 0.6× 18 323
Satoko Shinjo 242 1.6× 169 2.5× 120 1.8× 16 0.3× 33 0.6× 11 385
Jessica Díaz‐Elizondo 229 1.5× 76 1.1× 119 1.8× 18 0.3× 64 1.2× 11 400

Countries citing papers authored by G. L. White

Since Specialization
Citations

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

Fields of papers citing papers by G. L. White

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. L. White

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