David G. Upshall

15 total papers · 474 total citations
15 papers, 370 citations indexed

About

David G. Upshall is a scholar working on Biochemistry, Plant Science and Molecular Biology. According to data from OpenAlex, David G. Upshall has authored 15 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biochemistry, 5 papers in Plant Science and 3 papers in Molecular Biology. Recurrent topics in David G. Upshall's work include Sulfur Compounds in Biology (8 papers), Pesticide Exposure and Toxicity (5 papers) and Folate and B Vitamins Research (3 papers). David G. Upshall is often cited by papers focused on Sulfur Compounds in Biology (8 papers), Pesticide Exposure and Toxicity (5 papers) and Folate and B Vitamins Research (3 papers). David G. Upshall collaborates with scholars based in United Kingdom, United States and Slovenia. David G. Upshall's co-authors include John E. Casida, Gerald M. Cohen, Michael Butterworth, Stephen C. Bailey, Gareth Griffiths, Paul Rice, J Gordon, C G Curtis, R.H. Inns and Gillian M. Powell and has published in prestigious journals such as Environmental Health Perspectives, Biochemical Pharmacology and Journal of Pharmacy and Pharmacology.

In The Last Decade

David G. Upshall

15 papers receiving 342 citations

Author Peers

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

Author Last Decade Papers Cites
David G. Upshall 119 88 70 63 59 15 370
Nak Ju Sung 115 1.0× 211 2.4× 37 0.5× 17 0.3× 25 0.4× 15 415
S. Wijesundera 74 0.6× 142 1.6× 13 0.2× 22 0.3× 37 0.6× 16 391
Jean‐François Lesgards 59 0.5× 124 1.4× 33 0.5× 15 0.2× 26 0.4× 10 408
Eric C. Wilhelmsen 46 0.4× 108 1.2× 89 1.3× 8 0.1× 68 1.2× 10 414
Ines Bini Dhouib 163 1.4× 77 0.9× 69 1.0× 34 0.5× 19 0.3× 9 435
Harold Burton 147 1.2× 155 1.8× 42 0.6× 21 0.3× 11 0.2× 20 373
Mingcai Liang 70 0.6× 169 1.9× 12 0.2× 19 0.3× 23 0.4× 16 404
D.W. Swanston 138 1.2× 83 0.9× 31 0.4× 30 0.5× 11 0.2× 29 436
Ye Peng 114 1.0× 185 2.1× 15 0.2× 12 0.2× 23 0.4× 24 442
Mario Robles 121 1.0× 227 2.6× 30 0.4× 13 0.2× 33 0.6× 8 410

Countries citing papers authored by David G. Upshall

Since Specialization
Citations

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

Fields of papers citing papers by David G. Upshall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David G. Upshall

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