E. D. Williams

4.9k citations
71 papers · 3.7k · h-index 30

Impact in

Papers in

E. D. Williams

69 papers receiving 3.1k citations

Peers

E. D. Williams
Comparison fields: 5 of 126
  • Endocrinology, Diabetes and Metabolism 1.6k
  • Neurology 580
  • Nephrology 185
  • Epidemiology 854
  • Oncology 571
Replace Pasi Salmela with:
Pasi Salmela Finland
Katsuya Maruyama Japan
K. H. Usadel Germany
Andrea Lania Italy
Emanuel Christ Switzerland
F. Anders Karlsson Sweden
S. W. J. Lamberts Netherlands
Neil R.M. Buist United States
Jacques Orgiazzi France
M Ferdeghini Italy
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Citations per field
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Citations per year

Countries citing papers authored by E. D. Williams

Since Specialization
Citations

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

Fields of papers citing papers by E. D. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1966291
2 1968275
3 1966248
4 1977206
5 1966194
6 1970183
7 1968156
8 1965150
9 1962136
10 1968118
11 1967103
12 1968102
13 1964101
14 196294
15 197779
16 198278
17 196076
18 198374
19 196858
20 196158

About E. D. Williams

E. D. Williams is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Pulmonary and Respiratory Medicine, Epidemiology and Surgery, having authored 71 papers that have together received 3.7k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (9 papers), Neuroendocrine Tumor Research Advances (9 papers), Thermoregulation and physiological responses (6 papers), Neuroblastoma Research and Treatments (6 papers), Climate Change and Health Impacts (4 papers), Medical Imaging and Pathology Studies (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers) and Nuclear Physics and Applications (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.6k citations), Neurology (580 citations), Nephrology (185 citations), Epidemiology (854 citations) and Oncology (571 citations). E. D. Williams has collaborated with scholars based in United Kingdom, United States and Iceland. Frequent co-authors include I. Doniach, M. Sandler, S.M.M. Karim, J. G. Azzopardi, D J Pollock, Christopher L. Brown, Ó. Bjarnason, W. Michie, H R Harach and Louis-Cyril Celestin. Their work appears in journals such as The Lancet, Journal of Clinical Pathology, Physics in Medicine and Biology, Cancer 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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