T J Torphy

27 papers receiving 971 citations

Peers

T J Torphy
Comparison fields: 5 of 81
  • Physiology 630
  • Immunology and Allergy 94
  • Gastroenterology 76
  • Endocrine and Autonomic Systems 84
  • Cellular and Molecular Neuroscience 198
Replace Charles A. Rizzo with:
Charles A. Rizzo United States
E B Haddad United Kingdom
Marilyn Grous United States
H. Meurs Netherlands
F Perretti Italy
Annet B. Zuidhof Netherlands
Kihachi Ohshima Japan
R. K. Türker Türkiye
Johanne Agerlin Windeløv Denmark
Sonja Matthiesen Germany
T J Torphy relative to Charles A. Rizzo United States Charles A. Rizzo's profile →
Citations per field
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Citations per year

Countries citing papers authored by T J Torphy

Since Specialization
Citations

This map shows the geographic impact of T J Torphy'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 T J Torphy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T J Torphy more than expected).

Fields of papers citing papers by T J Torphy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Pharmacologic profile of SK&F 104353: a novel, potent and selective peptidoleukotriene receptor antagonist in guinea pig and human airways.
1987123
2 1996118
3 1993106
4 198681
5 199164
6 198360
7 198754
8 198551
9
Inhibition of the low km cyclic AMP phosphodiesterase in intact canine trachealis by SK&F 94836: mechanical and biochemical responses.
198851
10 199349
11 198942
12 197831
13 199031
14 199231
15 198823
16 198218
17 199016
18 198614
19 198613
20 198613

About T J Torphy

T J Torphy is a scholar working on Physiology, Molecular Biology, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine and Surgery, having authored 28 papers that have together received 1.0k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (12 papers), Neuropeptides and Animal Physiology (7 papers), Respiratory and Cough-Related Research (6 papers), Phosphodiesterase function and regulation (6 papers), Dysphagia Assessment and Management (5 papers), Gastroesophageal reflux and treatments (5 papers), Receptor Mechanisms and Signaling (4 papers) and Esophageal and GI Pathology (4 papers). The work is most often cited by research in Physiology (630 citations), Immunology and Allergy (94 citations), Gastroenterology (76 citations), Endocrine and Autonomic Systems (84 citations) and Cellular and Molecular Neuroscience (198 citations). T J Torphy has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Douglas W.P. Hay, S J Newsholme, Han-liang Zhou, David C. Underwood, Ruth R. Osborn, Stephanie S. Tucker, Martin A. Wasserman, Herbert S. Ormsbee, Mary S. Barnette and Roseanna M. Muccitelli. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Gastroenterology, American Journal of Physiology-Gastrointestinal and Liver Physiology, The Journal of Immunology and The FASEB Journal.

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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