James S. Bean

635 citations
16 papers · 414 · h-index 11

Impact in

Papers in

    • Peroxisome Proliferator-Activated Receptors 3
    • Metabolism, Diabetes, and Cancer 2
    • Cancer, Lipids, and Metabolism 3
    • MicroRNA in disease regulation 1

James S. Bean

16 papers receiving 395 citations

Peers

James S. Bean
Comparison fields: 5 of 79
  • Endocrinology, Diabetes and Metabolism 111
  • Cardiology and Cardiovascular Medicine 94
  • Cancer Research 51
  • Genetics 75
  • Biochemistry 18
Replace Jens‐Kerim Ergüden with:
Jens‐Kerim Ergüden Germany
James A. Koehn United States
Tadeu L. Montagnoli Brazil
Yoji Shibayama United States
B Sepehrnia United States
Sophie Beyer United States
Svitlana D. Brovkovych United States
Shoji Kume Japan
Larissa Wilsie United States
Karen M. Zimmerman United States
James S. Bean relative to Jens‐Kerim Ergüden Germany Jens‐Kerim Ergüden's profile →
Citations per field
00.5×2.6×
Jens‐Kerim Ergüden · 1×
Citations per year

Countries citing papers authored by James S. Bean

Since Specialization
Citations

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

Fields of papers citing papers by James S. Bean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 1991104
2 200352
3 199748
4 201440
5 201533
6 201122
7 199621
8 200520
9 200018
10 199114
11 199914
12 196210
13 20127
14 20206
15 20074
16 19931

About James S. Bean

James S. Bean is a scholar working on Molecular Biology, Cancer Research, Surgery, Pulmonary and Respiratory Medicine and Epidemiology, having authored 16 papers that have together received 414 indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Estrogen and related hormone effects (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Cholesterol and Lipid Metabolism (2 papers), Menopause: Health Impacts and Treatments (2 papers) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (111 citations), Cardiology and Cardiovascular Medicine (94 citations), Cancer Research (51 citations), Genetics (75 citations) and Biochemistry (18 citations). James S. Bean has collaborated with scholars based in United States, Brazil and Egypt. Frequent co-authors include Raymond F. Kauffman, Mitchell I. Steinberg, Karen M. Zimmerman, Raymond F. Brown, William R. Bensch, Mark D. Rekhter, George J. Cullinan, Ghassan S. Kassab, Xiao Lu and Jai Singh. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Journal of Medicinal Chemistry, PLoS ONE, Veterinary Pathology and Life Sciences.

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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