Wayne E. Bradley

1.3k citations
37 papers · 1.1k · h-index 20

Impact in

Papers in

Wayne E. Bradley

37 papers receiving 1.1k citations

Peers

Wayne E. Bradley
Comparison fields: 5 of 73
  • Cardiology and Cardiovascular Medicine 381
  • Nephrology 107
  • Molecular Biology 297
  • Biochemistry 32
  • Aging 7
Replace Santos Casado with:
Santos Casado Spain
Takayuki Fujino Japan
Anna Coracina Italy
Toshiharu Kawamoto Japan
Giovanni Federico Italy
Olga Gealekman United States
Fortunato Scalera Germany
Manuel J. Quiñones United States
Shinji Seto Japan
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Citations per field
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Citations per year

Countries citing papers authored by Wayne E. Bradley

Since Specialization
Citations

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

Fields of papers citing papers by Wayne E. Bradley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014145
2 201387
3 201776
4 200873
5 199966
6 202062
7 201245
8 201445
9 201043
10 198840
11 201840
12 200338
13 201335
14 201535
15 201629
16 200128
17 200228
18 198327
19 201825
20 201722

About Wayne E. Bradley

Wayne E. Bradley is a scholar working on Cardiology and Cardiovascular Medicine, Complementary and alternative medicine, Nephrology, Biochemistry and Genetics, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (8 papers), Renin-Angiotensin System Studies (8 papers), Cardiovascular and exercise physiology (4 papers), Mitochondrial Function and Pathology (4 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers), Respiratory Support and Mechanisms (3 papers), Takotsubo Cardiomyopathy and Associated Phenomena (3 papers) and Dermatological and Skeletal Disorders (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (381 citations), Nephrology (107 citations), Molecular Biology (297 citations), Biochemistry (32 citations) and Aging (7 citations). Wayne E. Bradley has collaborated with scholars based in United States, Norway and Chile. Frequent co-authors include Louis J. Dell’Italia, Chih‐Chang Wei, Pamela Cox Powell, Yong Jiang Sun, Yabing Chen, Hui Wu, Stephen M. Cain, Jack M. Heath, Silvio Hector Litovsky and Kaiyu Yuan. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Advances in experimental medicine and biology, Journal of Applied Physiology, Journal of Molecular and Cellular Cardiology and Redox Biology.

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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