D. Schiphof

2.6k total citations
103 papers, 1.8k citations indexed

About

D. Schiphof is a scholar working on Rheumatology, Surgery and Pharmacology. According to data from OpenAlex, D. Schiphof has authored 103 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Rheumatology, 37 papers in Surgery and 25 papers in Pharmacology. Recurrent topics in D. Schiphof's work include Osteoarthritis Treatment and Mechanisms (75 papers), Musculoskeletal pain and rehabilitation (18 papers) and Total Knee Arthroplasty Outcomes (18 papers). D. Schiphof is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (75 papers), Musculoskeletal pain and rehabilitation (18 papers) and Total Knee Arthroplasty Outcomes (18 papers). D. Schiphof collaborates with scholars based in Netherlands, United Kingdom and Australia. D. Schiphof's co-authors include Sita Bierma‐Zeinstra, S.M. Bierma-Zeinstra, Maarten Boers, Joyce B. J. van Meurs, Bart W. Koes, J. Runhaar, Bianca M. Boxma‐de Klerk, J.H. Waarsing, Marienke van Middelkoop and E.H. Oei and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of Clinical Epidemiology.

In The Last Decade

D. Schiphof

90 papers receiving 1.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
D. Schiphof Netherlands 22 1.1k 741 380 332 237 103 1.8k
Benny Antony Australia 28 1.4k 1.3× 720 1.0× 512 1.3× 407 1.2× 314 1.3× 125 2.2k
Aiyong Cui China 9 642 0.6× 434 0.6× 188 0.5× 192 0.6× 325 1.4× 17 1.5k
S.M. Bierma-Zeinstra Netherlands 23 1.3k 1.2× 1.5k 2.1× 600 1.6× 463 1.4× 344 1.5× 55 2.4k
Clémence Palazzo France 14 615 0.5× 613 0.8× 120 0.3× 437 1.3× 95 0.4× 32 1.5k
F. Abram Canada 33 2.6k 2.3× 1.6k 2.1× 729 1.9× 540 1.6× 611 2.6× 87 3.3k
Hatice Bodur Türkiye 26 940 0.8× 536 0.7× 80 0.2× 192 0.6× 269 1.1× 129 2.1k
Bernard Mazières France 21 717 0.6× 472 0.6× 96 0.3× 248 0.7× 159 0.7× 55 1.2k
John Ketz United States 24 313 0.3× 893 1.2× 189 0.5× 189 0.6× 571 2.4× 83 1.9k
Barbara Weissman United States 9 1.0k 0.9× 510 0.7× 349 0.9× 182 0.5× 149 0.6× 12 1.3k
Féline P B Kroon Netherlands 21 1.3k 1.2× 520 0.7× 50 0.1× 523 1.6× 195 0.8× 59 2.0k

Countries citing papers authored by D. Schiphof

Since Specialization
Citations

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

Fields of papers citing papers by D. Schiphof

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Schiphof

This figure shows the co-authorship network connecting the top 25 collaborators of D. Schiphof. A scholar is included among the top collaborators of D. Schiphof based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with D. Schiphof. D. Schiphof is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
King, Lauren, Armaghan Mahmoudian, Jean W. Liew, et al.. (2025). Elucidating the initial symptoms and experiences of knee osteoarthritis: An international patient survey. Osteoarthritis and Cartilage. 33(9). 1147–1152.
2.
King, Lauren, Armaghan Mahmoudian, Jean W. Liew, et al.. (2024). AN INTERNATIONAL PATIENT SURVEY TO IDENTIFY CANDIDATE ITEMS FOR CLASSIFYING EARLY-STAGE SYMPTOMATIC KNEE OSTEOARTHRITIS. Osteoarthritis and Cartilage. 32. S257–S258.
3.
Veldwijk, Jorien, Ramon P G Ottenheijm, Marloes Thoomes-de Graaf, et al.. (2024). Patient preferences for conservative treatment of shoulder pain: a discrete choice experiment. Family Practice. 42(2). 1 indexed citations
4.
Schiphof, D., et al.. (2024). THE COMPLEXITY OF EARLY DIAGNOSIS: DOES EARLY CONSULTATION EQUATE TO EARLY-STAGE OSTEOARTHRITIS?. Osteoarthritis and Cartilage. 32. S251–S252. 1 indexed citations
5.
Beckwée, David, Jo Nijs, Sita Bierma‐Zeinstra, et al.. (2024). Exercise therapy for knee osteoarthritis pain: how does it work? A study protocol for a randomised controlled trial. BMJ Open. 14(1). e074258–e074258. 1 indexed citations
6.
Tümer, Nazlı, D. Schiphof, Edwin H. G. Oei, et al.. (2023). 3D patellar shape is associated with radiological and clinical signs of patellofemoral osteoarthritis. Osteoarthritis and Cartilage. 31(4). 534–542. 3 indexed citations
7.
Schepper, Evelien de, D. Schiphof, W.E. van Spil, et al.. (2023). Changes to consultations and diagnosis of osteoarthritis in primary care during the COVID-19 pandemic. Osteoarthritis and Cartilage. 31(6). 829–838. 2 indexed citations
8.
Schiphof, D., et al.. (2023). Metabolic Syndrome And The Progression Of Knee Osteoarthritis On MRI. Osteoarthritis and Cartilage. 31. S269–S270. 1 indexed citations
10.
Anthierens, Sibyl, Magdalena Skrybant, D. Schiphof, et al.. (2023). Series: Public engagement with research. Part 4: Maximising the benefits of involving the public in research implementation. European Journal of General Practice. 29(1). 2243037–2243037. 4 indexed citations
11.
Schiphof, D., et al.. (2023). Metabolic syndrome and the progression of knee osteoarthritis on MRI. Osteoarthritis and Cartilage. 31(5). 647–655. 23 indexed citations
13.
Bekker‐Grob, Esther W. de, et al.. (2020). Patients', healthcare providers', and insurance company employees' preferences for knee and hip osteoarthritis care: a discrete choice experiment. Osteoarthritis and Cartilage. 28(10). 1316–1324. 7 indexed citations
14.
Boer, Cindy G., Djawad Radjabzadeh, Carolina Medina‐Gómez, et al.. (2019). Intestinal microbiome composition and its relation to joint pain and inflammation. Nature Communications. 10(1). 4881–4881. 232 indexed citations
15.
Blackburn, Steven, J. Meesters, Maarten de Wit, et al.. (2018). OP0346-PARE A partnership in implementation: adapting an osteoarthritis guidebook across european cultures – with patients, for patients. Annals of the Rheumatic Diseases. 77. 218–219. 1 indexed citations
16.
Warner, Sophie C., Joyce B. J. van Meurs, D. Schiphof, et al.. (2017). Genome-wide association scan of neuropathic pain symptoms post total joint replacement highlights a variant in the protein-kinase C gene. European Journal of Human Genetics. 25(4). 446–451. 40 indexed citations
17.
Schiphof, D., et al.. (2017). Year in Review – Rehabilitation and Outcomes. Osteoarthritis and Cartilage. 25. S7–S7. 1 indexed citations
18.
Schiphof, D., et al.. (2015). Patello-femoral osteoarthritis at baseline is predictive for tibio-femoral osteoarthritis five years later and vice versa. Osteoarthritis and Cartilage. 23. A225–A226. 1 indexed citations
19.
Schiphof, D., Marienke van Middelkoop, Bianca M. Boxma‐de Klerk, et al.. (2014). Crepitus is a first indication of patellofemoral osteoarthritis (and not of tibiofemoral osteoarthritis). Osteoarthritis and Cartilage. 22(5). 631–638. 77 indexed citations
20.
Peters, Mark, D. Schiphof, Mila Jhamai, et al.. (2013). Identification of CLEC4A gene-expression levels in peripheral blood as a potential biomarker for knee joint effusion. Osteoarthritis and Cartilage. 21. S20–S21. 1 indexed citations

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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