Robert G. Spanheimer

1.7k citations
44 papers · 1.4k · h-index 22

Impact in

Papers in

Robert G. Spanheimer

44 papers receiving 1.3k citations

Peers

Robert G. Spanheimer
Comparison fields: 5 of 96
  • Endocrinology, Diabetes and Metabolism 582
  • Rehabilitation 97
  • Orthopedics and Sports Medicine 115
  • Molecular Biology 545
  • Cardiology and Cardiovascular Medicine 161
Replace C. Verseyden with:
C. Verseyden Netherlands
Meiping Guan China
Emilie Distel France
Gabriele Togliatto Italy
De-min Yu China
Yasuhisa Okuno Japan
Mark DeNichilo Australia
Weier Qi Australia
Shahram Hedjazifar Sweden
Abhishek K. Singh United States
Robert G. Spanheimer relative to C. Verseyden Netherlands C. Verseyden's profile →
Citations per field
00.5×11.5×
C. Verseyden · 1×
Citations per year

Countries citing papers authored by Robert G. Spanheimer

Since Specialization
Citations

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

Fields of papers citing papers by Robert G. Spanheimer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007221
2 1988131
3 198375
4 198574
5 201356
6 200650
7 200648
8 198046
9 198841
10 200939
11 201337
12 199237
13 201034
14 198933
15 199532
16 199130
17 198628
18 200927
19 198826
20 198226

About Robert G. Spanheimer

Robert G. Spanheimer is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Physiology, Surgery and Rheumatology, having authored 44 papers that have together received 1.4k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (10 papers), Metabolism, Diabetes, and Cancer (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Osteoarthritis Treatment and Mechanisms (5 papers), Adipose Tissue and Metabolism (5 papers), Fibroblast Growth Factor Research (5 papers), Collagen: Extraction and Characterization (5 papers) and Bone health and osteoporosis research (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (582 citations), Rehabilitation (97 citations), Orthopedics and Sports Medicine (115 citations), Molecular Biology (545 citations) and Cardiology and Cardiovascular Medicine (161 citations). Robert G. Spanheimer has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Guillermo E. Umpierrez, Beverly Peterkofsky, Erland Erdmann, B Charbonnel, Mario Chojkier, Robert S. Bar, Alfonso Pérez, Meng H. Tan, John Dormandy and Robert A. Wilcox. Their work appears in journals such as Diabetes, Endocrinology, Archives of Biochemistry and Biophysics, The Journal of Clinical Endocrinology & Metabolism and Diabetes Obesity and Metabolism.

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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