Steven D. Schimmel

15 total papers · 569 total citations
15 papers, 506 citations indexed

About

Steven D. Schimmel is a scholar working on Molecular Biology, Physiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Steven D. Schimmel has authored 15 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Physiology and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Steven D. Schimmel's work include Enzyme Structure and Function (3 papers), Diet, Metabolism, and Disease (3 papers) and Adipose Tissue and Metabolism (3 papers). Steven D. Schimmel is often cited by papers focused on Enzyme Structure and Function (3 papers), Diet, Metabolism, and Disease (3 papers) and Adipose Tissue and Metabolism (3 papers). Steven D. Schimmel collaborates with scholars based in United States. Steven D. Schimmel's co-authors include Robert I. Grove, P. Roy Vagelos, Claudia Kent, Mary L. Standaert, R J Pollet, Richard Bischoff, Thomas M Hallam, David F. Silbert, Mark E. Harder and Gary R. Grotendorst and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Analytical Biochemistry.

In The Last Decade

Steven D. Schimmel

15 papers receiving 453 citations

Author Peers

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

Author Last Decade Papers Cites
Steven D. Schimmel 378 100 90 76 59 15 506
T Takenawa 287 0.8× 107 1.1× 112 1.2× 93 1.2× 69 1.2× 14 505
Albert Claude 307 0.8× 124 1.2× 63 0.7× 76 1.0× 58 1.0× 21 525
Hans Kunze 302 0.8× 87 0.9× 122 1.4× 60 0.8× 51 0.9× 21 564
Rosanna Cazzolli 322 0.9× 101 1.0× 104 1.2× 65 0.9× 51 0.9× 15 495
T A Tran-Thi 321 0.8× 67 0.7× 68 0.8× 72 0.9× 67 1.1× 17 576
Keisuke Hirasawa 292 0.8× 95 0.9× 75 0.8× 62 0.8× 36 0.6× 18 451
Colin Picton 434 1.1× 121 1.2× 52 0.6× 67 0.9× 33 0.6× 13 583
Hiroko Hasegawa‐Sasaki 370 1.0× 80 0.8× 58 0.6× 77 1.0× 113 1.9× 18 579
Hae Yung Pyun 292 0.8× 138 1.4× 52 0.6× 60 0.8× 34 0.6× 12 487
Kazuaki Tatei 385 1.0× 56 0.6× 54 0.6× 64 0.8× 80 1.4× 19 580

Countries citing papers authored by Steven D. Schimmel

Since Specialization
Citations

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

Fields of papers citing papers by Steven D. Schimmel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven D. Schimmel. 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 Steven D. Schimmel. The network helps show where Steven D. Schimmel may publish in the future.

Co-authorship network of co-authors of Steven D. Schimmel

This figure shows the co-authorship network connecting the top 25 collaborators of Steven D. Schimmel. A scholar is included among the top collaborators of Steven D. Schimmel 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 Steven D. Schimmel. Steven D. Schimmel 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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