A. van Caam

1.9k citations
47 papers · 1.5k · h-index 19

Impact in

    • Osteoarthritis Treatment and Mechanisms
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

A. van Caam

44 papers receiving 1.5k citations

Peers

A. van Caam
Comparison fields: 5 of 91
  • Rheumatology 646
  • Cancer Research 210
  • Immunology and Allergy 84
  • Urology 57
  • Pharmacology 151
Replace Anne‐Marie Zuurmond with:
Anne‐Marie Zuurmond Netherlands
Merissa Olmer United States
C. Thomas Appleton Canada
Katherine Staines United Kingdom
Ling X. Zhang United States
Harini Raghu United States
Matt J. Barter United Kingdom
Monte Hunter United States
Muriel Piperno France
A. van Caam relative to Anne‐Marie Zuurmond Netherlands Anne‐Marie Zuurmond's profile →
Citations per field
00.5×2×3×3.5×
Anne‐Marie Zuurmond · 1×
Citations per year

Countries citing papers authored by A. van Caam

Since Specialization
Citations

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

Fields of papers citing papers by A. van Caam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. van Caam. 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 A. van Caam. The network helps show where A. van Caam may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014279
2 2019195
3 2015188
4 2018119
5 201469
6 201358
7 201453
8 201753
9 201446
10 201546
11 201744
12 201636
13 201635
14 201530
15 202026
16 202221
17 202120
18 202018
19 201818
20 202117

About A. van Caam

A. van Caam is a scholar working on Rheumatology, Molecular Biology, Pathology and Forensic Medicine, Pharmacology and Oncology, having authored 47 papers that have together received 1.5k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (23 papers), TGF-β signaling in diseases (10 papers), Systemic Sclerosis and Related Diseases (6 papers), Inflammatory mediators and NSAID effects (5 papers), Cancer-related molecular mechanisms research (5 papers), Bone Metabolism and Diseases (4 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Tendon Structure and Treatment (2 papers). The work is most often cited by research in Rheumatology (646 citations), Cancer Research (210 citations), Immunology and Allergy (84 citations), Urology (57 citations) and Pharmacology (151 citations). A. van Caam has collaborated with scholars based in Netherlands, United States and Switzerland. Frequent co-authors include P.M. van der Kraan, Eva Thijssen, E.N. Blaney Davidson, Marije I. Koenders, Wojciech Madej, Peter L. E. M. van Lent, Fons A. J. van de Loo, E.L. Vitters, Wim B. van den Berg and Madelon C Vonk. Their work appears in journals such as Osteoarthritis and Cartilage, Annals of the Rheumatic Diseases, Lara D. Veeken, Arthritis Research & Therapy and International Journal of Molecular 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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