Rachel Knevel

5.9k total citations · 1 hit paper
71 papers, 2.6k citations indexed

About

Rachel Knevel is a scholar working on Rheumatology, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Rachel Knevel has authored 71 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Rheumatology, 15 papers in Pathology and Forensic Medicine and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Rachel Knevel's work include Rheumatoid Arthritis Research and Therapies (46 papers), Systemic Lupus Erythematosus Research (29 papers) and Monoclonal and Polyclonal Antibodies Research (13 papers). Rachel Knevel is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (46 papers), Systemic Lupus Erythematosus Research (29 papers) and Monoclonal and Polyclonal Antibodies Research (13 papers). Rachel Knevel collaborates with scholars based in Netherlands, United Kingdom and United States. Rachel Knevel's co-authors include T. Huizinga, Annette H M van der Helm–van Mil, M. P. M. van der Linden, René E. M. Toes, Saskia le Cessie, Diane van der Woude, Karim Raza, Leendert A. Trouw, Parawee Suwannalai and George M. C. Janssen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of the American Society of Nephrology.

In The Last Decade

Rachel Knevel

67 papers receiving 2.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Autoantibodies recognizing carbamylated proteins are present in sera of patients with rheumatoid arthritis and predict joint damage

2011 414 citations Rachel Knevel, George M. C. Janssen et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rachel Knevel Netherlands	24	2.0k	471	452	440	353	71	2.6k
Camilla Bengtsson Sweden	28	2.4k 1.2×	621 1.3×	592 1.3×	409 0.9×	346 1.0×	52	3.3k
Patrick Verschueren Belgium	25	1.7k 0.9×	337 0.7×	434 1.0×	480 1.1×	383 1.1×	178	2.5k
Kristina Forslind Sweden	28	2.5k 1.3×	380 0.8×	420 0.9×	688 1.6×	373 1.1×	81	3.0k
Saedís Saevarsdóttir Sweden	31	1.7k 0.9×	314 0.7×	855 1.9×	471 1.1×	306 0.9×	103	2.7k
Arnaud Constantin France	30	1.9k 1.0×	269 0.6×	829 1.8×	605 1.4×	304 0.9×	120	3.1k
Gilles Boire Canada	32	1.9k 0.9×	554 1.2×	667 1.5×	420 1.0×	742 2.1×	157	3.3k
Olivier Vittecoq France	36	2.0k 1.0×	462 1.0×	776 1.7×	547 1.2×	352 1.0×	165	3.5k
J. Nam United Kingdom	21	2.4k 1.2×	291 0.6×	723 1.6×	887 2.0×	262 0.7×	57	3.0k
Xinping Tian China	27	1.6k 0.8×	260 0.6×	774 1.7×	398 0.9×	350 1.0×	214	2.8k
Philippe Gaudin France	32	2.3k 1.2×	210 0.4×	644 1.4×	829 1.9×	408 1.2×	148	3.4k

Countries citing papers authored by Rachel Knevel

Since Specialization

Citations

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

Fields of papers citing papers by Rachel Knevel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel Knevel

This figure shows the co-authorship network connecting the top 25 collaborators of Rachel Knevel. A scholar is included among the top collaborators of Rachel Knevel 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 Rachel Knevel. Rachel Knevel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Morton, Fraser, Annemarie L Dorjée, Duncan Porter, et al.. (2025). Smoking as a risk factor for rheumatoid arthritis: predominant association with IgA autoantibodies – comprehensive analysis of anti-modified protein antibodies with smoking and genetic risk factors in rheumatoid arthritis. Arthritis Research & Therapy. 27(1). 101–101. 3 indexed citations

Chopra, Arvind, David Vega‐Morales, R Du Toit, et al.. (2025). Rheumatoid arthritis-associated interstitial lung disease in countries across the world. Seminars in Arthritis and Rheumatism. 73. 152719–152719.

Akker, Erik B. van den, et al.. (2025). Improving musculoskeletal care with AI enhanced triage through data driven screening of referral letters. npj Digital Medicine. 8(1). 98–98. 5 indexed citations

Zhang, Lu, Matthijs C. Brouwer, Richard B. Pouw, et al.. (2025). Post-translationally modified proteins bind and activate complement with implications for cellular uptake and autoantibody formation. Journal of Autoimmunity. 155. 103444–103444.

Akker, Erik B. van den, Andrew P. Cope, John D. Isaacs, et al.. (2025). Time-independent disease state identification defines distinct trajectories determined by localised vs systemic inflammation in patients with early rheumatoid arthritis. Annals of the Rheumatic Diseases. 84(8). 1301–1312. 2 indexed citations

Penne, E. Lars, et al.. (2023). Using an Artificial Intelligence Tool Incorporating Natural Language Processing to Identify Low-Prevalence Cases of ANCA-Associated Vasculitis in Electronic Health Records. Journal of the American Society of Nephrology. 34(11S). 102–102.

Lundberg, Karin, et al.. (2023). Population-based user-perceived experience of Rheumatic?: a novel digital symptom-checker in rheumatology. RMD Open. 9(2). e002974–e002974. 4 indexed citations

Bergstra, Sytske Anne, et al.. (2023). Is glucocorticoid bridging therapy associated with later use of glucocorticoids and biological DMARDs during the disease course of patients with rheumatoid arthritis in daily practice? A real-world data analysis. Seminars in Arthritis and Rheumatism. 64. 152305–152305. 1 indexed citations

Penne, E. Lars, et al.. (2023). Using an artificial intelligence tool incorporating natural language processing to identify patients with a diagnosis of ANCA-associated vasculitis in electronic health records. Computers in Biology and Medicine. 168. 107757–107757. 9 indexed citations

10.

Naamane, Najib, et al.. (2023). The Application of Genetic Risk Scores in Rheumatic Diseases: A Perspective. Genes. 14(12). 2167–2167. 2 indexed citations

11.

Ramspek, Chava L., Barbara Ferrari, Merel van Diepen, et al.. (2022). External validation of risk scores to predict in-hospital mortality in patients hospitalized due to coronavirus disease 2019. European Journal of Internal Medicine. 102. 63–71. 3 indexed citations

12.

Wouters, Fenne, Ellis Niemantsverdriet, T. Huizinga, et al.. (2022). The Role of Genetics in Clinically Suspect Arthralgia and Rheumatoid Arthritis Development: A Large Cross‐Sectional Study. Arthritis & Rheumatology. 75(2). 178–186. 7 indexed citations

13.

Ciaffi, Jacopo, Nina Ajmone Marsan, Maarten K. Ninaber, et al.. (2021). New risk model is able to identify patients with a low risk of progression in systemic sclerosis. RMD Open. 7(2). e001524–e001524. 4 indexed citations

14.

Knitza, Johannes, Rachel Knevel, Karim Raza, et al.. (2020). Toward Earlier Diagnosis Using Combined eHealth Tools in Rheumatology: The Joint Pain Assessment Scoring Tool (JPAST) Project. JMIR mhealth and uhealth. 8(5). e17507–e17507. 23 indexed citations

15.

Knevel, Rachel, Soumya Raychaudhuri, Katherine P. Liao, & T. Huizinga. (2017). THU0635 Precise and simple algorithm to identify ra cases in electronic medical records. Annals of the Rheumatic Diseases. 76. 445–446. 1 indexed citations

16.

Plantinga, Theo S., Jaap Fransen, Rachel Knevel, et al.. (2013). Role of NOD1 polymorphism in susceptibility and clinical progression of rheumatoid arthritis. Lara D. Veeken. 52(5). 806–814. 14 indexed citations

17.

Knevel, Rachel, et al.. (2013). FRI0098 Biomarker-based estimates of risk of radiographic progression in the leiden early arthritis cohort. Annals of the Rheumatic Diseases. 72. A403–A403. 1 indexed citations

18.

Knevel, Rachel, et al.. (2013). Evaluating joint destruction in rheumatoid arthritis: is it necessary to radiograph both hands and feet?. Annals of the Rheumatic Diseases. 72(3). 345–349. 18 indexed citations

19.

Willemze, Annemiek, Stefan Böhringer, Rachel Knevel, et al.. (2011). The ACPA recognition profile and subgrouping of ACPA-positive RA patients. Annals of the Rheumatic Diseases. 71(2). 268–274. 56 indexed citations

20.

Knevel, Rachel, Monika Schoels, T. Huizinga, et al.. (2010). Current evidence for a strategic approach to the management of rheumatoid arthritis with disease-modifying antirheumatic drugs: a systematic literature review informing the EULAR recommendations for the management of rheumatoid arthritis. Annals of the Rheumatic Diseases. 69(6). 987–994. 105 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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