S.J. Capper

720 citations
22 papers · 620 · h-index 11

Impact in

Papers in

S.J. Capper

20 papers receiving 590 citations

Peers

S.J. Capper
Comparison fields: 5 of 80
  • Cardiology and Cardiovascular Medicine 193
  • Physiology 205
  • Rheumatology 74
  • Endocrinology, Diabetes and Metabolism 56
  • Cellular and Molecular Neuroscience 56
Replace Sarah E. Abbey‐Hosch with:
Sarah E. Abbey‐Hosch United States
Tetsuo Morioka Japan
Katalin Komlósi Hungary
Shoichiro Takata Japan
Otilia Postea Germany
Maria Paola Santini United Kingdom
Alan Opsahl United States
Caroline Dubroca France
G L Engelmann United States
Efrat Wolfovitz Israel
S.J. Capper relative to Sarah E. Abbey‐Hosch United States Sarah E. Abbey‐Hosch's profile →
Citations per field
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Sarah E. Abbey‐Hosch · 1×
Citations per year

Countries citing papers authored by S.J. Capper

Since Specialization
Citations

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

Fields of papers citing papers by S.J. Capper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990169
2 200699
3 200173
4 199061
5 199136
6
Interleukin 1 in rheumatoid arthritis: potentiation of immune responses within the joint.
198932
7 199124
8 199920
9 198016
10 198116
11 200711
12 198410
13 201310
14 198610
15 19819
16 19807
17 19905
18 19905
19 19914
20 19862

About S.J. Capper

S.J. Capper is a scholar working on Endocrinology, Diabetes and Metabolism, Rheumatology, Physiology, Cellular and Molecular Neuroscience and Molecular Biology, having authored 22 papers that have together received 620 indexed citations. Recurring topics across this work include Ion channel regulation and function (3 papers), Receptor Mechanisms and Signaling (3 papers), Nitric Oxide and Endothelin Effects (3 papers), Neuropeptides and Animal Physiology (3 papers), Protease and Inhibitor Mechanisms (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers), Chemical Synthesis and Analysis (2 papers) and Pituitary Gland Disorders and Treatments (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (193 citations), Physiology (205 citations), Rheumatology (74 citations), Endocrinology, Diabetes and Metabolism (56 citations) and Cellular and Molecular Neuroscience (56 citations). S.J. Capper has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Sian Kalinka, M A Brown, Anthony P. Davenport, Michael J. Ashby, Derek J. Nunez, Stuart J. Conway, Martin D. Bootman, H. Llewelyn Roderick, Michael John Berridge and A. B. Kurtz. Their work appears in journals such as Neuropeptides, Pain, Archives of Biochemistry and Biophysics, FEBS Letters and Journal of Cardiovascular Pharmacology.

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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