Bob Beekman

18 papers receiving 1.2k citations

Peers

Bob Beekman
Comparison fields: 5 of 103
  • Rheumatology 439
  • Equine 46
  • Orthopedics and Sports Medicine 163
  • Immunology and Allergy 70
  • Cancer Research 172
Replace Dennis A. Lowther with:
Dennis A. Lowther Australia
F. W. Keeley Canada
F.S. Steven United Kingdom
Benjamin V. Treadwell United States
Ofelia E. Muniz United States
Gabriella Cs‐Szabó United States
Keld Østergaard Denmark
R. H. Pearce Canada
Mirna Z. Ilic Australia
Muhammad Farooq United States
Bob Beekman relative to Dennis A. Lowther Australia Dennis A. Lowther's profile →
Citations per field
00.5×10×
Dennis A. Lowther · 1×
Citations per year

Countries citing papers authored by Bob Beekman

Since Specialization
Citations

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

Fields of papers citing papers by Bob Beekman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 1996208
2 1997167
3 1997161
4 2002123
5 199797
6 199681
7 199778
8 199752
9 199846
10 199841
11 199937
12 199535
13 199831
14 199725
15
Degenerated human articular cartilage at autopsy represents preclinical osteoarthritic cartilage: comparison with clinically defined osteoarthritic cartilage.
199721
16 199815
17 19978
18 19944

About Bob Beekman

Bob Beekman is a scholar working on Rheumatology, Cancer Research, Oncology, Pharmacology and Cardiology and Cardiovascular Medicine, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (10 papers), Protease and Inhibitor Mechanisms (8 papers), Peptidase Inhibition and Analysis (4 papers), Inflammatory mediators and NSAID effects (3 papers), Cell Adhesion Molecules Research (3 papers), Chemotherapy-induced cardiotoxicity and mitigation (2 papers), Electron Spin Resonance Studies (2 papers) and Blood Coagulation and Thrombosis Mechanisms (2 papers). The work is most often cited by research in Rheumatology (439 citations), Equine (46 citations), Orthopedics and Sports Medicine (163 citations), Immunology and Allergy (70 citations) and Cancer Research (172 citations). Bob Beekman has collaborated with scholars based in Netherlands, Israel and United States. Frequent co-authors include Ruud A. Bank, J.M. te Koppele, J.M. TeKoppele, Nicole Verzijl, Johan M. TeKoppele, E. Jansen, H. K. Ronday, Jeroen A.D.M. de Roos, Jan W. Drijfhout and A.N. Sakkee. Their work appears in journals such as Osteoarthritis and Cartilage, FEBS Letters, Biochemical and Biophysical Research Communications, Archives of Dermatological Research and Matrix Biology.

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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