Craig S. Stump

67 papers receiving 3.2k citations

Peers

Craig S. Stump
Comparison fields: 5 of 127
  • Physiology 1.4k
  • Molecular Biology 1.1k
  • Cardiology and Cardiovascular Medicine 785
  • Endocrinology, Diabetes and Metabolism 757
  • Epidemiology 417
Replace Sebastio Perrini with:
Sebastio Perrini Italy
Hans Häring Germany
Hye Jin Yoo South Korea
Eugênio Cersósimo United States
Gregorio Caimi Italy
Giuseppe Seghieri Italy
Iskandar Idris United Kingdom
François R. Jornayvaz Switzerland
Francesco Nappo Italy
Nicola Abate United States
Craig S. Stump relative to Sebastio Perrini Italy Sebastio Perrini's profile →
Citations per field
00.5×1.5×
Sebastio Perrini · 1×
Citations per year

Countries citing papers authored by Craig S. Stump

Since Specialization
Citations

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

Fields of papers citing papers by Craig S. Stump

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Craig S. Stump

This figure shows the co-authorship network connecting the top 25 collaborators of Craig S. Stump. A scholar is included among the top collaborators of Craig S. Stump 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 Craig S. Stump. Craig S. Stump is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 13
3 18
4 12
5
Nine days of intensive exercise training improves mitochondrial function but not insulin action in adult offspring of mothers with type 2 diabetes (Journal of Clinical Endocrinology and Metabolism (2011) 96, (E1137-E1141))
8
6 18
7 10
8 13
9
Prevention of type 2 diabetes: Role of the renin-angiotensin-aldosterone system and antihypertensive therapy
4
10 16
11 248
12 105
13 47
14 26
15 5
16 13
17 4
18 27
19 53
20 63

About Craig S. Stump

Craig S. Stump is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Cardiology and Cardiovascular Medicine, having authored 68 papers that have together received 3.3k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (16 papers), Muscle metabolism and nutrition (14 papers) and Adipokines, Inflammation, and Metabolic Diseases (9 papers). The work is most often cited by research in Physiology (1.4k citations), Endocrinology, Diabetes and Metabolism (757 citations) and Cardiology and Cardiovascular Medicine (785 citations). Craig S. Stump has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include James R. Sowers, Yongzhong Wei, K. Sreekumaran Nair, Adam Whaley‐Connell, Kevin R. Short, Erik J. Henriksen, Maureen L. Bigelow, Carlos M. Ferrario, Jill M. Schimke and Suzanne E. Clark. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Clinical Endocrinology & 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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