T. Sunyer

29 papers receiving 976 citations

Peers

T. Sunyer
Comparison fields: 5 of 97
  • Rheumatology 299
  • Immunology and Allergy 53
  • Cellular and Molecular Neuroscience 142
  • Orthopedics and Sports Medicine 67
  • Cancer Research 110
Replace Frédéric De Ceuninck with:
Frédéric De Ceuninck France
Samuel García Netherlands
Eiichiro Ueda Japan
Gwenn M. Hansen United States
Zhuang Qian China
Robert F. Santerre United States
D T Yamaguchi United States
Fujio Okamoto Japan
Mohammed Sharif United States
J.R. Connor United States
T. Sunyer relative to Frédéric De Ceuninck France Frédéric De Ceuninck's profile →
Citations per field
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Frédéric De Ceuninck · 1×
Citations per year

Countries citing papers authored by T. Sunyer

Since Specialization
Citations

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

Fields of papers citing papers by T. Sunyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985131
2 199998
3 199882
4 198480
5 200666
6 200964
7 201062
8 201158
9 198956
10 199654
11 200841
12 200635
13 199735
14
Mechanisms in the vectorial receptor-adenylate cyclase signal transduction.
198435
15 199323
16 200822
17 201720
18 199019
19 201010
20 20126

About T. Sunyer

T. Sunyer is a scholar working on Molecular Biology, Surgery, Rheumatology, Physiology and Pharmacology, having authored 29 papers that have together received 1.0k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (5 papers), Neuropeptides and Animal Physiology (3 papers), Inflammatory mediators and NSAID effects (3 papers), Nitric Oxide and Endothelin Effects (3 papers), Cell Adhesion Molecules Research (2 papers), Adenosine and Purinergic Signaling (2 papers), Receptor Mechanisms and Signaling (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Rheumatology (299 citations), Immunology and Allergy (53 citations), Cellular and Molecular Neuroscience (142 citations), Orthopedics and Sports Medicine (67 citations) and Cancer Research (110 citations). T. Sunyer has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Lutz Birnbaumer, Juan Codina, Philip Osdoby, Patricia Collin‐Osdoby, Olga V. Nemirovskiy, Linda Rothe, W. Rodney Mathews, Poonam Aggarwal, Ravi Iyengar and John D. Hildebrandt. Their work appears in journals such as Osteoarthritis and Cartilage, Endocrinology, Annals of the Rheumatic Diseases, Journal of Cellular Biochemistry and Nitric Oxide.

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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