Kay E. Chapman

2.9k citations
30 papers · 2.4k · h-index 24

Impact in

Papers in

    • Osteoarthritis Treatment and Mechanisms 24
    • Genetic Associations and Epidemiology 2
    • Dermatological and Skeletal Disorders 1
    • Connective tissue disorders research 1

Kay E. Chapman

29 papers receiving 2.3k citations

Peers

Kay E. Chapman
Comparison fields: 5 of 54
  • Rheumatology 1.6k
  • Developmental Biology 22
  • Genetics 193
  • Orthopedics and Sports Medicine 23
  • Pathology and Forensic Medicine 40
Replace Andrea L. Clark with:
Andrea L. Clark Canada
Révital Rattenbach France
Carlos Ignacio Lorda-Diez Spain
Makoto Abe Japan
David O. Sillence Australia
Takafumi Susami Japan
Pascal Arp Netherlands
Jie‐Mei Gu China
Yasushi Sugawara Japan
Charlotte A. Smith United States
Kay E. Chapman relative to Andrea L. Clark Canada Andrea L. Clark's profile →
Citations per field
00.5×2×4×5.8×
Andrea L. Clark · 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 2007180
3 2001172
4 2006169
5 2009162
6 2008149
7 2011112
8 2009108
9 1999103
10 2013103
11 2013102
12 200286
13 200576
14 201173
15 199962
16 200254
17 200448
18 201241
19 200430
20 201130

About Kay E. Chapman

Kay E. Chapman is a scholar working on Rheumatology, Genetics, Developmental Biology, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 30 papers that have together received 2.4k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (24 papers), Genetic Associations and Epidemiology (2 papers), Congenital limb and hand anomalies (1 paper), Dermatological and Skeletal Disorders (1 paper) and Connective tissue disorders research (1 paper). The work is most often cited by research in Rheumatology (1.6k citations), Developmental Biology (22 citations), Genetics (193 citations), Orthopedics and Sports Medicine (23 citations) and Pathology and Forensic Medicine (40 citations). Kay E. Chapman has collaborated with scholars based in United Kingdom, United States and Iceland. Frequent co-authors include John A. Loughlin, Zehra Mustafa, Lorraine Southam, Ana Maria Valdes, Andrew Jonathan Carr, James M. Wilkins, Maripat Corr, Dennis Anthony Carson, Cathleen J. Ciesielski and Antonio Gonzalez. 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 Genetic Epidemiology.

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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