Beverly S. Schaffer

65 total papers · 925 total citations
28 papers, 776 citations indexed

About

Beverly S. Schaffer is a scholar working on Molecular Biology, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Beverly S. Schaffer has authored 28 papers receiving a total of 776 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Genetics and 12 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Beverly S. Schaffer's work include Growth Hormone and Insulin-like Growth Factors (11 papers), Genomics and Chromatin Dynamics (4 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). Beverly S. Schaffer is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (11 papers), Genomics and Chromatin Dynamics (4 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). Beverly S. Schaffer collaborates with scholars based in United States, South Korea and Australia. Beverly S. Schaffer's co-authors include Richard G. MacDonald, Jung H.Y. Park, James D. Shull, Brian P. Rubin, Charles Keller, James C. Byrd, Karen A. Gould, Karen L. Pennington, Tohru Hosoyama and Jane L. Meza and has published in prestigious journals such as Journal of Biological Chemistry, Blood and PLoS ONE.

In The Last Decade

Beverly S. Schaffer

28 papers receiving 760 citations

Author Peers

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

Author Last Decade Papers Cites
Beverly S. Schaffer 447 215 214 127 127 28 776
Yousef G. Amaar 599 1.3× 271 1.3× 121 0.6× 83 0.7× 155 1.2× 22 823
Cyril Thouverey 506 1.1× 180 0.8× 92 0.4× 181 1.4× 107 0.8× 24 894
M Remacle-Bonnet 457 1.0× 382 1.8× 111 0.5× 189 1.5× 240 1.9× 35 886
Mozeena Bano 375 0.8× 114 0.5× 232 1.1× 284 2.2× 75 0.6× 20 772
Shirley Abramovitch 324 0.7× 226 1.1× 132 0.6× 133 1.0× 119 0.9× 15 803
Sanjay Kansra 419 0.9× 168 0.8× 105 0.5× 171 1.3× 76 0.6× 31 768
Daniela Kodetová 254 0.6× 355 1.7× 132 0.6× 183 1.4× 111 0.9× 35 773
Mary Ann S. Crissey 345 0.8× 102 0.5× 111 0.5× 132 1.0× 102 0.8× 22 776
Zhimin Liu 355 0.8× 162 0.8× 92 0.4× 241 1.9× 211 1.7× 31 733
Eiji Ohmura 336 0.8× 285 1.3× 86 0.4× 183 1.4× 80 0.6× 29 733

Countries citing papers authored by Beverly S. Schaffer

Since Specialization
Citations

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

Fields of papers citing papers by Beverly S. Schaffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beverly S. Schaffer. 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 Beverly S. Schaffer. The network helps show where Beverly S. Schaffer may publish in the future.

Co-authorship network of co-authors of Beverly S. Schaffer

This figure shows the co-authorship network connecting the top 25 collaborators of Beverly S. Schaffer. A scholar is included among the top collaborators of Beverly S. Schaffer 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 Beverly S. Schaffer. Beverly S. Schaffer 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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