Wayne Alexander

1.1k citations
7 papers · 220 · h-index 3

Impact in

Papers in

Wayne Alexander

6 papers receiving 209 citations

Peers

Wayne Alexander
Comparison fields: 5 of 44
  • Cardiology and Cardiovascular Medicine 171
  • Endocrinology, Diabetes and Metabolism 77
  • Transplantation 8
  • Cellular and Molecular Neuroscience 41
  • Molecular Biology 113
Replace Sebastian Kirsch with:
Sebastian Kirsch Germany
V. Robert France
S. Saltman United States
Yuko Oka Japan
Gian Paolo Rossi Italy
Éric Lizotte Canada
Shirley Beguin France
Jan Christian Reil Germany
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Wayne Alexander relative to Sebastian Kirsch Germany Sebastian Kirsch's profile →
Citations per field
00.5×1.5×1.9×
Sebastian Kirsch · 1×
Citations per year

Countries citing papers authored by Wayne Alexander

Since Specialization
Citations

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

Fields of papers citing papers by Wayne Alexander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 1995200
2 200512
3 19943
4 20232
5 20192
6 20081
7 20240

About Wayne Alexander

Wayne Alexander is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Nephrology and Pharmacology, having authored 7 papers that have together received 220 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (2 papers), Hormonal Regulation and Hypertension (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Healthcare cost, quality, practices (1 paper), Glycosylation and Glycoproteins Research (1 paper), Patient Satisfaction in Healthcare (1 paper), Diabetes and associated disorders (1 paper) and Renal Diseases and Glomerulopathies (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (171 citations), Endocrinology, Diabetes and Metabolism (77 citations), Transplantation (8 citations), Cellular and Molecular Neuroscience (41 citations) and Molecular Biology (113 citations). Wayne Alexander has collaborated with scholars based in United States, Hungary and Switzerland. Frequent co-authors include Joseph W. Harding, Theodore L. Goodfriend, Kevin Catt, Ahsan Husain, Marc de Gasparo, Pieter B.M.W.M. Timmermans, Tadashi Inagami, Andrew T. Chiu, Prabir Roy‐Chaudhury and Michael J. Hanaway. Their work appears in journals such as Journal of Vascular Research, Journal of Molecular and Cellular Cardiology, Hypertension, Transplantation Proceedings and BDJ In Practice.

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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