E. J. Wayne

1.7k citations
47 papers · 1.2k indexed · h-index 20

Impact in

Papers in

E. J. Wayne

43 papers receiving 939 citations

Peers

E. J. Wayne
Comparison fields: 5 of 127
  • Endocrinology, Diabetes and Metabolism 594
  • Drug Discovery 1
  • Developmental Neuroscience 19
  • Pathology and Forensic Medicine 82
  • Radiology, Nuclear Medicine and Imaging 100
Replace J. Thomas Dowling with:
J. Thomas Dowling United States
E. G. Black United Kingdom
F. Aghini-Lombardi Italy
C Franksson Sweden
Philippe De Nayer Belgium
D H Van Thiel United States
E Gautier Switzerland
Harold Rifkin United States
P J Palumbo United States
Y Edoute Israel
E. J. Wayne relative to J. Thomas Dowling United States J. Thomas Dowling's profile →
Citations per field
00.5×
J. Thomas Dowling · 1×
Citations per year

Countries citing papers authored by E. J. Wayne

Since Specialization
Citations

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

Fields of papers citing papers by E. J. Wayne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1959177
2 1960106
3 196171
4 196063
5 196057
6 196553
7 196151
8 196049
9 196548
10 195147
11 195445
12 196140
13 196240
14 196035
15 195132
16 195527
17 195527
18 196026
19 196023
20 196420

About E. J. Wayne

E. J. Wayne is a scholar working on Endocrinology, Diabetes and Metabolism, Anatomy, Nephrology, Ecological Modeling and Radiation, having authored 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (14 papers), Thyroid Cancer Diagnosis and Treatment (3 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Radiation Dose and Imaging (2 papers), Advanced Radiotherapy Techniques (2 papers), Cardiac Imaging and Diagnostics (2 papers), Bartonella species infections research (1 paper) and Spine and Intervertebral Disc Pathology (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (594 citations), Drug Discovery (1 citation), Developmental Neuroscience (19 citations), Pathology and Forensic Medicine (82 citations) and Radiology, Nuclear Medicine and Imaging (100 citations). E. J. Wayne has collaborated with scholars based in United Kingdom and Nepal. Frequent co-authors include J. Crooks, W.D. Alexander, I. P. C. Murray, D. A. Koutras, A. G. Macgregor, W. Watson Buchanan, Ronald M. Harden, H. Miller, W. W. Buchanan and J. F. Goodwin. Their work appears in journals such as The Lancet, The Journal of Clinical Endocrinology & Metabolism, QJM, American Journal of Clinical Nutrition and Nature.

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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