Beverly S. Schaffer

928 citations
28 papers · 777 · h-index 18

Impact in

Papers in

    • Genomics and Chromatin Dynamics 4
    • Metabolism, Diabetes, and Cancer 3
    • Genetic Mapping and Diversity in Plants and Animals 4
    • Estrogen and related hormone effects 3
    • Genetic and phenotypic traits in livestock 2

Beverly S. Schaffer

28 papers receiving 761 citations

Peers

Beverly S. Schaffer
Comparison fields: 5 of 85
  • Endocrinology, Diabetes and Metabolism 215
  • Cancer Research 127
  • Genetics 214
  • Molecular Biology 447
  • Aging 10
Replace Yousef G. Amaar with:
Yousef G. Amaar United States
Susan G. Linkhart United States
Mary Ann S. Crissey United States
Zhimin Liu China
Nel C. Moore United Kingdom
Damir Hamamdzic United States
Siru Zhou China
C. M. Hoogerbrugge Netherlands
Haoran Feng China
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Beverly S. Schaffer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Beverly S. Schaffer Line = papers co-authored together Beverly S. Schaffer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009114
2 200059
3 200447
4 199646
5 201144
6 200643
7 200142
8 201041
9 201037
10 200135
11 199631
12 201526
13 200524
14 200321
15 199920
16 201418
17 201217
18 200817
19 200216
20 200515

About Beverly S. Schaffer

Beverly S. Schaffer is a scholar working on Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism, Cancer Research and Neurology, having authored 28 papers that have together received 777 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (11 papers), Genomics and Chromatin Dynamics (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Estrogen and related hormone effects (3 papers), Genetic and phenotypic traits in livestock (2 papers) and Blood transfusion and management (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (215 citations), Cancer Research (127 citations), Genetics (214 citations), Molecular Biology (447 citations) and Aging (10 citations). Beverly S. Schaffer has collaborated with scholars based in United States, South Korea and Australia. Frequent co-authors include Richard G. MacDonald, Jung H.Y. Park, James D. Shull, Charles Keller, Brian P. Rubin, Karen A. Gould, James C. Byrd, Jane L. Meza, Koichi Nishijo and Karen L. Pennington. Their work appears in journals such as Mammalian Genome, Molecular Cancer Therapeutics, Endocrinology, Journal of Cellular Physiology and Journal of Gastroenterology and Hepatology.

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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