Thomas P. Smith

2.0k citations
30 papers · 1.4k · h-index 17

Impact in

Papers in

Thomas P. Smith

30 papers receiving 1.4k citations

Peers

Thomas P. Smith
Comparison fields: 5 of 100
  • Endocrinology, Diabetes and Metabolism 702
  • Reproductive Medicine 80
  • Cardiology and Cardiovascular Medicine 168
  • Surgery 236
  • Physiology 110
Replace Isaac Lévy with:
Isaac Lévy Israel
Riccardo Pofi Italy
Sunghwan Suh South Korea
Jacek Sieradzki Poland
Morton G. Burt Australia
Indraneel Banerjee United Kingdom
J. Köbberling Germany
Lucyna Siemińśka Poland
Robert J. Walker United States
J. Breza Slovakia
Thomas P. Smith relative to Isaac Lévy Israel Isaac Lévy's profile →
Citations per field
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Citations per year

Countries citing papers authored by Thomas P. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Thomas P. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984172
2 2002140
3 2003125
4 2005109
5 2005106
6 1993106
7 201398
8 200894
9 200675
10 200260
11 201758
12 200341
13 200835
14 201725
15 200725
16 198620
17 199520
18 199516
19 197316
20 198815

About Thomas P. Smith

Thomas P. Smith is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Reproductive Medicine, Cardiology and Cardiovascular Medicine and Infectious Diseases, having authored 30 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (11 papers), Growth Hormone and Insulin-like Growth Factors (9 papers), Adrenal Hormones and Disorders (6 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Nitric Oxide and Endothelin Effects (2 papers), Biochemical and Structural Characterization (2 papers), Hypothalamic control of reproductive hormones (2 papers) and Histone Deacetylase Inhibitors Research (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (702 citations), Reproductive Medicine (80 citations), Cardiology and Cardiovascular Medicine (168 citations), Surgery (236 citations) and Physiology (110 citations). Thomas P. Smith has collaborated with scholars based in Ireland, United States and United Kingdom. Frequent co-authors include T. J. McKenna, James Gibney, Michael Fahie‐Wilson, Abdulwahab M. Suliman, John M. Canty, Ronald B. George, Gary T. Kinasewitz, William Y. Tucker, Trish T. Hoang and Ronald T. Raines. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Clinical Endocrinology, Clinical Chemistry, Circulation Research and Clinical Chemistry and Laboratory Medicine (CCLM).

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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