Warren M. Sperry

71 total papers · 5.0k total citations
8 papers, 403 citations indexed

About

Warren M. Sperry is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Warren M. Sperry has authored 8 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Cancer Research and 1 paper in Surgery. Recurrent topics in Warren M. Sperry's work include Cancer, Lipids, and Metabolism (2 papers), Fatty Acid Research and Health (1 paper) and Animal Nutrition and Physiology (1 paper). Warren M. Sperry is often cited by papers focused on Cancer, Lipids, and Metabolism (2 papers), Fatty Acid Research and Health (1 paper) and Animal Nutrition and Physiology (1 paper). Warren M. Sperry collaborates with scholars based in United States. Warren M. Sperry's co-authors include Florence C. Brand, Robert D. Terry, Larry W. Mirosh and James McGinnis and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Lipid Research and Clinical Chemistry.

In The Last Decade

Warren M. Sperry

7 papers receiving 344 citations

Author Peers

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

Author Last Decade Papers Cites
Warren M. Sperry 156 100 94 72 57 8 403
Simona Stan 175 1.1× 86 0.9× 99 1.1× 83 1.2× 86 1.5× 11 415
C. De Pascale 85 0.5× 93 0.9× 104 1.1× 63 0.9× 49 0.9× 15 365
M. Kuchmak 148 0.9× 64 0.6× 109 1.2× 70 1.0× 138 2.4× 16 418
W. Yamanaka 76 0.5× 148 1.5× 126 1.3× 106 1.5× 83 1.5× 16 412
Ahrens Eh 97 0.6× 101 1.0× 71 0.8× 111 1.5× 154 2.7× 8 431
Eiko Fukuda 136 0.9× 162 1.6× 77 0.8× 99 1.4× 54 0.9× 13 364
James J. Peifer 160 1.0× 225 2.3× 105 1.1× 94 1.3× 50 0.9× 15 444
Yuming Wang 106 0.7× 92 0.9× 61 0.6× 51 0.7× 34 0.6× 12 352
Yohko Matsumura 189 1.2× 65 0.7× 76 0.8× 134 1.9× 69 1.2× 8 369
S. J. Friedberg 175 1.1× 63 0.6× 54 0.6× 118 1.6× 83 1.5× 16 434

Countries citing papers authored by Warren M. Sperry

Since Specialization
Citations

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

Fields of papers citing papers by Warren M. Sperry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Warren M. Sperry. 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 Warren M. Sperry. The network helps show where Warren M. Sperry may publish in the future.

Co-authorship network of co-authors of Warren M. Sperry

This figure shows the co-authorship network connecting the top 25 collaborators of Warren M. Sperry. A scholar is included among the top collaborators of Warren M. Sperry 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 Warren M. Sperry. Warren M. Sperry 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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