Thomas E. Snyder

31 papers receiving 1.9k citations

Thomas E. Snyder's Hit Papers

Effects of Estrogen Replacement on the Progression of Coronary-Artery Atherosclerosis 2000 · 986 citations
9860+8+17Years since publication250500750

Peers

Thomas E. Snyder
Comparison fields: 5 of 89
  • Endocrinology, Diabetes and Metabolism 791
  • Neurology 368
  • Internal Medicine 54
  • Rheumatology 173
  • Genetics 148
Replace Shih‐Ni Chang with:
Shih‐Ni Chang Taiwan
Idit Lavi Israel
John Wingerd United States
H J Sugerman United States
Rachel Katherine Crowley Ireland
Josip A. Borovac Croatia
Marco Piastra Italy
Nabila Abdella Kuwait
Jacques Serratrice Switzerland
Luigi Petramala Italy
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Citations per field
00.5×2×4×6×8.9×
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Citations per year

Countries citing papers authored by Thomas E. Snyder

Since Specialization
Citations

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

Fields of papers citing papers by Thomas E. Snyder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Effects of Estrogen Replacement on the Progression of Coronary-Artery Atherosclerosis
Hit paper breakdown →
2000986
2 2020220
3 2021151
4 1992125
5 200073
6 200966
7 200060
8 202245
9 200838
10 199837
11 200137
12 200132
13 201030
14 199128
15 196827
16 197527
17 196924
18 202124
19 195615
20 202014

About Thomas E. Snyder

Thomas E. Snyder is a scholar working on Endocrinology, Diabetes and Metabolism, Emergency Medicine, Neurology, Obstetrics and Gynecology and Epidemiology, having authored 34 papers that have together received 2.1k indexed citations. Recurring topics across this work include Menopause: Health Impacts and Treatments (6 papers), Appendicitis Diagnosis and Management (3 papers), Long-Term Effects of COVID-19 (3 papers), Steroid Chemistry and Biochemistry (2 papers), Acute Ischemic Stroke Management (2 papers), Pelvic floor disorders treatments (2 papers), Neurosurgical Procedures and Complications (2 papers) and Electronic Health Records Systems (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (791 citations), Neurology (368 citations), Internal Medicine (54 citations), Rheumatology (173 citations) and Genetics (148 citations). Thomas E. Snyder has collaborated with scholars based in United States, Peru and United Kingdom. Frequent co-authors include David M. Herrington, Sally Ann Shumaker, Penny C. Sharp, David M. Reboussin, David D. Waters, William John Rogers, K. Bridget Brosnihan, Curt Daniel Furberg, Glen J. Kowalchuk and Thomas Stuckey. Their work appears in journals such as Infectious Diseases in Obstetrics and Gynecology, Neurology, Obstetrics and Gynecology, Obstetrical & Gynecological Survey and Journal of the American Chemical Society.

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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