Stephen G. Senderoff

30 total papers · 586 total citations
18 papers, 483 citations indexed

About

Stephen G. Senderoff is a scholar working on Organic Chemistry, Pharmaceutical Science and Genetics. According to data from OpenAlex, Stephen G. Senderoff has authored 18 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Organic Chemistry, 7 papers in Pharmaceutical Science and 7 papers in Genetics. Recurrent topics in Stephen G. Senderoff's work include Estrogen and related hormone effects (7 papers), Chemical Reactions and Isotopes (6 papers) and Synthesis and Biological Evaluation (5 papers). Stephen G. Senderoff is often cited by papers focused on Estrogen and related hormone effects (7 papers), Chemical Reactions and Isotopes (6 papers) and Synthesis and Biological Evaluation (5 papers). Stephen G. Senderoff collaborates with scholars based in United States. Stephen G. Senderoff's co-authors include John A. Katzenellenbogen, Karen D. McElvany, Michael J. Welch, J. Richard Heys, Arthur Y. L. Shu, Daniel F. Heiman, Scott W. Landvatter, H.A. O’Brien, D. Saunders and Kathryn E. Carlson and has published in prestigious journals such as Journal of Medicinal Chemistry, The Journal of Organic Chemistry and Journal of Computer Assisted Tomography.

In The Last Decade

Stephen G. Senderoff

17 papers receiving 468 citations

Author Peers

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

Author Last Decade Papers Cites
Stephen G. Senderoff 183 181 173 127 126 18 483
Scott W. Landvatter 178 1.0× 98 0.5× 226 1.3× 115 0.9× 113 0.9× 27 466
Ray Unwalla 57 0.3× 109 0.6× 20 0.1× 131 1.0× 166 1.3× 13 406
Howard Tucker 108 0.6× 19 0.1× 26 0.2× 158 1.2× 111 0.9× 19 509
W.C. Eckelman 40 0.2× 21 0.1× 193 1.1× 174 1.4× 58 0.5× 24 429
Jeffrey C. Kern 68 0.4× 18 0.1× 43 0.2× 153 1.2× 300 2.4× 17 510
Elizaveta A. Urusova 9 0.0× 211 1.2× 240 1.4× 136 1.1× 136 1.1× 22 477
Murthy R. Akula 17 0.1× 44 0.2× 76 0.4× 114 0.9× 201 1.6× 41 450
Ryan Greenwood 24 0.1× 58 0.3× 19 0.1× 309 2.4× 208 1.7× 18 513
Ruddy Littell 79 0.4× 39 0.2× 13 0.1× 209 1.6× 208 1.7× 30 429
Sofia Lindblad 27 0.1× 18 0.1× 31 0.2× 119 0.9× 65 0.5× 18 550

Countries citing papers authored by Stephen G. Senderoff

Since Specialization
Citations

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

Fields of papers citing papers by Stephen G. Senderoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen G. Senderoff

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