Casey E. Bohl

2.6k citations
21 papers · 2.2k · h-index 17

Impact in

Papers in

Casey E. Bohl

21 papers receiving 2.1k citations

Peers

Casey E. Bohl
Comparison fields: 5 of 108
  • Endocrinology, Diabetes and Metabolism 938
  • Genetics 735
  • Pulmonary and Respiratory Medicine 783
  • Cell Biology 198
  • Molecular Biology 752
Replace Ramesh Narayanan with:
Ramesh Narayanan United States
Paula M. Loria United States
Michael L. Mohler United States
Gérard S. Chetrite France
Keith B. Marschke United States
Yali He United States
Enrico di Salle Italy
CYNTHIA M. ARBEENY United States
George J. Eiermann United States
Erika Ginsburg United States
Casey E. Bohl relative to Ramesh Narayanan United States Ramesh Narayanan's profile →
Citations per field
00.5×1.5×
Ramesh Narayanan · 1×
Citations per year

Countries citing papers authored by Casey E. Bohl

Since Specialization
Citations

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

Fields of papers citing papers by Casey E. Bohl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Casey E. Bohl. 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 Casey E. Bohl. The network helps show where Casey E. Bohl may publish in the future.

Co-authors

The 25 scholars most cited alongside Casey E. Bohl, 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 Casey E. Bohl Line = papers co-authored together Casey E. Bohl 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 2005441
2 2005365
3 2011336
4 2005182
5 2009174
6 2008132
7 2004125
8 2007108
9 200575
10 200468
11 200841
12 201140
13 200529
14 201123
15 200522
16 200620
17 201020
18 201215
19 20188
20 20067

About Casey E. Bohl

Casey E. Bohl is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Pharmacology, Pulmonary and Respiratory Medicine and Spectroscopy, having authored 21 papers that have together received 2.2k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (14 papers), Estrogen and related hormone effects (13 papers), Prostate Cancer Treatment and Research (6 papers), Pharmacogenetics and Drug Metabolism (3 papers), Mass Spectrometry Techniques and Applications (2 papers), Chemistry and Stereochemistry Studies (2 papers), Hormonal Regulation and Hypertension (2 papers) and Bacterial Genetics and Biotechnology (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (938 citations), Genetics (735 citations), Pulmonary and Respiratory Medicine (783 citations), Cell Biology (198 citations) and Molecular Biology (752 citations). Casey E. Bohl has collaborated with scholars based in United States. Frequent co-authors include James T. Dalton, Duane D. Miller, Wenqing Gao, Charles E. Bell, Wenqing Gao, Jiyun Chen, Michael L. Mohler, Ramesh Narayanan, Dong‐Jin Hwang and Michael L. Hancock. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Biological Chemistry, Journal of Pharmacology and Experimental Therapeutics, Cancer Research and Drug Metabolism and Disposition.

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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