Richard W. Farndale

24.2k citations
233 papers · 19.1k indexed · 6 hit papers · h-index 68

Richard W. Farndale

231 papers receiving 18.8k citations

Hit Papers

Evaluation of cell...353198220261996201150010001.5k2.0k2.5k

Peers

Richard W. Farndale
Comparison fields: 5 of 163
  • Immunology and Allergy 4.2k
  • Hematology 4.7k
  • Biomaterials 3.6k
  • Rheumatology 3.4k
  • Cell Biology 2.6k
Replace Hideaki Nagase with:
Hideaki Nagase United States
Paul Börnstein United States
Thomas N. Wight United States
Hynda K. Kleinman United States
Daniel B. Rifkin United States
Michael Klagsbrun United States
Giulio Gabbiani Switzerland
Gillian Murphy United Kingdom
Joseph A. Madri United States
Denis Gospodarowicz United States
Richard W. Farndale relative to Hideaki Nagase United States Hideaki Nagase's profile →
Citations per field
00.5×3.2×
Hideaki Nagase · 1×
Citations per year

Countries citing papers authored by Richard W. Farndale

Since Specialization
Citations

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

Fields of papers citing papers by Richard W. Farndale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard W. Farndale. 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 Richard W. Farndale. The network helps show where Richard W. Farndale may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20245
2 20232
3 202228
4 20227
5 20227
6 202014
7 201942
8 20172
9 201617
10 2012181
11
Platelets Amplify Inflammation in Arthritis via Collagen-Dependent Microparticle Productionbreakdown →
2010860
12 2010147
13 2009110
14 2008111
15 200877
16 200835
17 200739
18 200482
19 19991
20 1996261

About Richard W. Farndale

Richard W. Farndale is a scholar working on Immunology and Allergy, Hematology and Cancer Research, having authored 233 papers that have together received 19.1k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (109 papers), Platelet Disorders and Treatments (100 papers), Protease and Inhibitor Mechanisms (50 papers), Blood properties and coagulation (34 papers), Collagen: Extraction and Characterization (33 papers), Antiplatelet Therapy and Cardiovascular Diseases (33 papers), Blood Coagulation and Thrombosis Mechanisms (16 papers) and Monoclonal and Polyclonal Antibodies Research (13 papers). The work is most often cited by research in Immunology and Allergy (4.2k citations), Hematology (4.7k citations) and Biomaterials (3.6k citations). Richard W. Farndale has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include A. John Barrett, David J. Buttle, Michael J. Barnes, Christopher G. Knight, Samir W. Hamaia, Dominique Bihan, Nicolas Raynal, Jonas Emsley, Laurence F. Morton and Ruth E. Cameron. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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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