JAY L. TUTTLE

34 papers receiving 1.3k citations

JAY L. TUTTLE's Hit Papers

A Phase 2 Trial of Peresolimab for Adults with Rheumatoid Arthritis 2023 · 99 citations
990+1+2Years since publication255075

Peers

JAY L. TUTTLE
Comparison fields: 5 of 78
  • Genetics 443
  • Infectious Diseases 181
  • Complementary and alternative medicine 67
  • Immunology 133
  • Physiology 161
Replace Kaavya Paruchuri with:
Kaavya Paruchuri United States
Alessandra Petrelli Italy
Yiming Luo United States
Hirayasu Kai Japan
Youssef Mohamed Mosaad Egypt
Yılmaz Özyazgan Türkiye
Paolo Muratori Italy
Chen Liu China
Charles H. Dicken United States
Liang‐Chun Shih Taiwan
JAY L. TUTTLE relative to Kaavya Paruchuri United States Kaavya Paruchuri's profile →
Citations per field
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Kaavya Paruchuri · 1×
Citations per year

Countries citing papers authored by JAY L. TUTTLE

Since Specialization
Citations

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

Fields of papers citing papers by JAY L. TUTTLE

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by JAY L. TUTTLE. 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 JAY L. TUTTLE. The network helps show where JAY L. TUTTLE may publish in the future.

Co-authors

The 25 scholars most cited alongside JAY L. TUTTLE, 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 JAY L. TUTTLE Line = papers co-authored together JAY L. TUTTLE 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 2001204
2 2019197
3 2021155
4 2021122
5
A Phase 2 Trial of Peresolimab for Adults with Rheumatoid Arthritis
Hit paper breakdown →
202399
6 201785
7 201662
8 201961
9 200351
10 202049
11 200144
12 200240
13 200236
14 202230
15 201922
16 202320
17 201818
18 199417
19 199513
20 202111

About JAY L. TUTTLE

JAY L. TUTTLE is a scholar working on Genetics, Infectious Diseases, Physiology, Rheumatology and Immunology, having authored 34 papers that have together received 1.4k indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (12 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Nitric Oxide and Endothelin Effects (5 papers), Rheumatoid Arthritis Research and Therapies (3 papers), Iron Metabolism and Disorders (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Psoriasis: Treatment and Pathogenesis (2 papers) and Cardiovascular and exercise physiology (1 paper). The work is most often cited by research in Genetics (443 citations), Infectious Diseases (181 citations), Complementary and alternative medicine (67 citations), Immunology (133 citations) and Physiology (161 citations). JAY L. TUTTLE has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Michael C. Dalsing, Joseph L. Unthank, William J. Sandborn, Geert D’Haens, B. Paul Herring, Bret A. Connors, Ryan D. Nachreiner, Jeff C. Falcone, Brian G. Feagan and Toshifumi Hibi∥. Their work appears in journals such as Gastroenterology, American Journal of Physiology-Heart and Circulatory Physiology, New England Journal of Medicine, Journal of Crohn s and Colitis and Medicine & Science in Sports & Exercise.

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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