Kay E. Chapman

2.9k citations
30 papers · 2.4k · h-index 25

Impact in

Papers in

Kay E. Chapman

29 papers receiving 2.3k citations

Peers

Kay E. Chapman
Comparison fields: 5 of 92
  • Rheumatology 1.6k
  • Immunology and Allergy 138
  • Pharmacology 379
  • Equine 36
  • Cancer Research 216
Replace Yoshinari Miyamoto with:
Yoshinari Miyamoto Japan
Matt J. Barter United Kingdom
Yefu Li United States
Veronica Ulici United States
Jason S. Rockel Canada
Abdul Haseeb United States
Manuel Pombo‐Suárez Spain
Anne S. Olsen United States
Kazu Matsumoto Japan
Daniel Jaffurs United States
Kay E. Chapman relative to Yoshinari Miyamoto Japan Yoshinari Miyamoto's profile →
Citations per field
00.5×2×4×6×
Yoshinari Miyamoto · 1×
Citations per year

Countries citing papers authored by Kay E. Chapman

Since Specialization
Citations

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

Fields of papers citing papers by Kay E. Chapman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kay E. Chapman. 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 Kay E. Chapman. The network helps show where Kay E. Chapman may publish in the future.

Co-authors

The 25 scholars most cited alongside Kay E. Chapman, 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 Kay E. Chapman Line = papers co-authored together Kay E. Chapman 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 2004344
2 2007179
3 2001172
4 2006169
5 2009163
6 2008148
7 2011111
8 2009108
9 1999104
10 2013102
11 2013102
12 200288
13 200576
14 201174
15 199963
16 200254
17 200449
18 201242
19 201130
20 200430

About Kay E. Chapman

Kay E. Chapman is a scholar working on Rheumatology, Pharmacology, Genetics, Molecular Biology and Cell Biology, having authored 30 papers that have together received 2.4k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (21 papers), Inflammatory mediators and NSAID effects (6 papers), Genetic Associations and Epidemiology (5 papers), Asthma and respiratory diseases (2 papers), Heat shock proteins research (1 paper), TGF-β signaling in diseases (1 paper), Prenatal Screening and Diagnostics (1 paper) and Veterinary Equine Medical Research (1 paper). The work is most often cited by research in Rheumatology (1.6k citations), Immunology and Allergy (138 citations), Pharmacology (379 citations), Equine (36 citations) and Cancer Research (216 citations). Kay E. Chapman has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include John A. Loughlin, Zehra Mustafa, Lorraine Southam, Ana Maria Valdes, Andrew Jonathan Carr, James M. Wilkins, Dennis Anthony Carson, Maripat Corr, Manuel Pombo‐Suárez and Antonio G. González. Their work appears in journals such as The American Journal of Human Genetics, Annals of the Rheumatic Diseases, Human Molecular Genetics, European Journal of Human Genetics and Human Genetics.

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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