Kevin T. Bauerle

493 citations
10 papers · 305 indexed · h-index 10
Topics
Hormonal Regulation and Hypertension (3 papers)Adipose Tissue and Metabolism (2 papers)RNA and protein synthesis mechanisms (2 papers)
Partner nations
United States

In The Last Decade

Kevin T. Bauerle

10 papers receiving 303 citations

Peers

Kevin T. Bauerle
Comparison fields: 5 of 59
  • Molecular Biology 171
  • Endocrinology, Diabetes and Metabolism 98
  • Cancer Research 56
  • Oncology 42
  • Physiology 32
Replace Yanxia Ma with:
Yanxia Ma China
Serena Sagliocchi Italy
Qiuxiao Yu China
Zhaosha Li Netherlands
Carmela Montrone Italy
José S. Subauste United States
Paul Woodman United Kingdom
Xinbo Zhang United States
RA Hegele Canada
Tae-Yon Chun United States
Kevin T. Bauerle relative to Yanxia Ma China Yanxia Ma's profile →
Citations per field
00.5×3.5×
Yanxia Ma · 1×
Citations per year

Countries citing papers authored by Kevin T. Bauerle

Since Specialization
Citations

This map shows the geographic impact of Kevin T. Bauerle'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 Kevin T. Bauerle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin T. Bauerle more than expected).

Fields of papers citing papers by Kevin T. Bauerle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin T. Bauerle. 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 Kevin T. Bauerle. The network helps show where Kevin T. Bauerle may publish in the future.

Co-authorship network of co-authors of Kevin T. Bauerle

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 13
2 23
3 27
4
Glucocorticoids and Diabetes.
15
5 24
6 49
7 27
8 52
9 28
10 47

About Kevin T. Bauerle

Kevin T. Bauerle is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience and Endocrine and Autonomic Systems, having authored 10 papers that have together received 305 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (3 papers), Adipose Tissue and Metabolism (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (98 citations), Cancer Research (56 citations) and Behavioral Neuroscience (12 citations). Kevin T. Bauerle has collaborated with scholars based in United States. Frequent co-authors include Bryan R. Haugen, Rebecca E. Schweppe, Anne Grove, Edwin Kamau, Charles Harris, Irina Hutson, William M. Wood, Erica L. Scheller, Qiong Zhou and Laura A. Pike. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism and Biochemistry.

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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