K Chapman

710 citations
10 papers · 301 · h-index 8

Impact in

    • Osteoarthritis Treatment and Mechanisms
    • Rheumatoid Arthritis Research and Therapies
    • Systemic Lupus Erythematosus Research
  • Equine top 10%

Papers in

    • Osteoarthritis Treatment and Mechanisms 6
    • Rheumatoid Arthritis Research and Therapies 1
    • Inflammatory mediators and NSAID effects 4

K Chapman

9 papers receiving 287 citations

Peers

K Chapman
Comparison fields: 5 of 55
  • Rheumatology 195
  • Equine 11
  • Pharmacology 72
  • Immunology and Allergy 14
  • Cancer Research 32
Replace Iván Prieto‐Potín with:
Iván Prieto‐Potín Spain
D E Carey United States
Jérémy Maillet France
Takafumi Torigoshi Japan
Sandra Pérez-Baos Spain
James P. O’Callaghan Australia
Renfang Han China
Yifang Mei China
Jinna Wu China
Raúl Javier García-Renedo Spain
K Chapman relative to Iván Prieto‐Potín Spain Iván Prieto‐Potín's profile →
Citations per field
00.5×2.8×
Iván Prieto‐Potín · 1×
Citations per year

Countries citing papers authored by K Chapman

Since Specialization
Citations

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

Fields of papers citing papers by K Chapman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1
Association analysis of the vitamin D receptor gene, the type I collagen gene COL1A1, and the estrogen receptor gene in idiopathic osteoarthritis.
200064
2 200863
3 201043
4 200942
5 200537
6 200926
7 200811
8 200411
9 20123
10 20071

About K Chapman

K Chapman is a scholar working on Rheumatology, Pharmacology, Genetics, Molecular Biology and Physiology, having authored 10 papers that have together received 301 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (6 papers), Inflammatory mediators and NSAID effects (4 papers), Asthma and respiratory diseases (2 papers), Genetic Associations and Epidemiology (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Protein Tyrosine Phosphatases (1 paper), Connective tissue disorders research (1 paper) and Rheumatoid Arthritis Research and Therapies (1 paper). The work is most often cited by research in Rheumatology (195 citations), Equine (11 citations), Pharmacology (72 citations), Immunology and Allergy (14 citations) and Cancer Research (32 citations). K Chapman has collaborated with scholars based in United Kingdom, Netherlands and Spain. Frequent co-authors include John Loughlin, Janet S. Sinsheimer, Andrew Carr, B P Wordsworth, Andrew Roddam, Pille Harrison, J. J. Pointon, Ingrid Meulenbelt, P. Eline Slagboom and Zehra Mustafa. Their work appears in journals such as Osteoarthritis and Cartilage, Annals of the Rheumatic Diseases, Human Molecular Genetics, Lara D. Veeken and Scandinavian Journal of Rheumatology.

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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