E. J. Wayne

1.7k citations
50 papers · 1.3k · h-index 20

Impact in

Papers in

E. J. Wayne

44 papers receiving 988 citations

Peers

E. J. Wayne
Comparison fields: 5 of 133
  • Endocrinology, Diabetes and Metabolism 649
  • Drug Discovery 1
  • Radiology, Nuclear Medicine and Imaging 109
  • Developmental Neuroscience 19
  • Pathology and Forensic Medicine 77
Replace CC Patterson with:
CC Patterson United Kingdom
Philippe De Nayer Belgium
E. M. McGirr United Kingdom
A W Goode United Kingdom
A. H. Henderson United Kingdom
Hiroto Mashiba Japan
Agha W. Haider United Kingdom
Ulrich Bürgi Switzerland
Harold Rifkin United States
P. H. Bennett United States
E. J. Wayne relative to CC Patterson United Kingdom CC Patterson's profile →
Citations per field
00.5×2.7×
CC Patterson · 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 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1959189
2 1960112
3 196176
4 196071
5 196064
6 196558
7 196154
8 195153
9 196052
10 195451
11 196548
12 196146
13 196242
14 195137
15 196037
16 195528
17 196028
18 195527
19 196025
20 196422

About E. J. Wayne

E. J. Wayne is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Nephrology, having authored 50 papers that have together received 1.3k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (14 papers), Thyroid Cancer Diagnosis and Treatment (3 papers), Advanced Radiotherapy Techniques (2 papers), Radiation Dose and Imaging (2 papers), Peripheral Artery Disease Management (2 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Cardiac Imaging and Diagnostics (2 papers) and Congenital Heart Disease Studies (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (649 citations), Drug Discovery (1 citation), Radiology, Nuclear Medicine and Imaging (109 citations), Developmental Neuroscience (19 citations) and Pathology and Forensic Medicine (77 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, Heart and British Journal of Radiology.

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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