Donald S. Stapleton

1.8k citations
21 papers · 1.1k · h-index 15

Impact in

Papers in

    • Adipose Tissue and Metabolism 5
    • Metabolism, Diabetes, and Cancer 4
    • Mitochondrial Function and Pathology 2

Donald S. Stapleton

21 papers receiving 1.1k citations

Peers

Donald S. Stapleton
Comparison fields: 5 of 95
  • Geriatrics and Gerontology 54
  • Physiology 235
  • Aging 16
  • Molecular Biology 612
  • Endocrine and Autonomic Systems 45
Replace Frédéric Burdet with:
Frédéric Burdet Switzerland
Tomohide Takaya Japan
Yongliang Wang China
Peter F. Dubbelhuis Netherlands
Cyrille Chevtzoff France
Geon Wook Kang South Korea
Hyeon‐Cheol Lee Japan
Masahito Ogura Japan
Nuttaporn Wongsiriroj United States
Miyuki Kato Japan
Donald S. Stapleton relative to Frédéric Burdet Switzerland Frédéric Burdet's profile →
Citations per field
00.5×1.5×2.1×
Frédéric Burdet · 1×
Citations per year

Countries citing papers authored by Donald S. Stapleton

Since Specialization
Citations

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

Fields of papers citing papers by Donald S. Stapleton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Donald S. Stapleton, 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 Donald S. Stapleton Line = papers co-authored together Donald S. Stapleton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006144
2 2017144
3 2012133
4 201398
5 201993
6 201162
7 201660
8 201059
9 201444
10 201842
11 202039
12 201138
13 201635
14 201920
15 201518
16 201211
17 20218
18 20235
19 20055
20 20262

About Donald S. Stapleton

Donald S. Stapleton is a scholar working on Physiology, Molecular Biology, Cancer Research, Endocrinology, Diabetes and Metabolism and Surgery, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (6 papers), Adipose Tissue and Metabolism (5 papers), Metabolism, Diabetes, and Cancer (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Lipid metabolism and biosynthesis (2 papers), Advanced Proteomics Techniques and Applications (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Geriatrics and Gerontology (54 citations), Physiology (235 citations), Aging (16 citations), Molecular Biology (612 citations) and Endocrine and Autonomic Systems (45 citations). Donald S. Stapleton has collaborated with scholars based in United States, Russia and Italy. Frequent co-authors include Alan Attie, Mark P. Keller, Mary E. Rabaglia, Brian S. Yandell, Kathryn L. Schueler, Joshua J. Coon, Lindsay L. Traeger, Aimee Teo Broman, David J. Pagliarini and Paul A. Grimsrud. Their work appears in journals such as PLoS Genetics, Cell Reports, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences and Genetics.

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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