Jacqueline R. Chipping

471 total citations
16 papers, 332 citations indexed

About

Jacqueline R. Chipping is a scholar working on Rheumatology, Hematology and Pathology and Forensic Medicine. According to data from OpenAlex, Jacqueline R. Chipping has authored 16 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Rheumatology, 5 papers in Hematology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Jacqueline R. Chipping's work include Rheumatoid Arthritis Research and Therapies (11 papers), Systemic Lupus Erythematosus Research (6 papers) and Autoimmune and Inflammatory Disorders Research (5 papers). Jacqueline R. Chipping is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (11 papers), Systemic Lupus Erythematosus Research (6 papers) and Autoimmune and Inflammatory Disorders Research (5 papers). Jacqueline R. Chipping collaborates with scholars based in United Kingdom, United States and France. Jacqueline R. Chipping's co-authors include Suzanne Verstappen, Deborah Symmons, Tarnya Marshall, Alex J. MacGregor, Mark Lunt, Kimme L Hyrich, Jennifer Humphreys, James M. Gwinnutt, James Bluett and Jamie C. Sergeant and has published in prestigious journals such as Annals of the Rheumatic Diseases, Lara D. Veeken and Arthritis Research & Therapy.

In The Last Decade

Jacqueline R. Chipping

16 papers receiving 324 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacqueline R. Chipping United Kingdom 10 240 91 49 43 43 16 332
Radu Vasilescu Belgium 8 263 1.1× 128 1.4× 53 1.1× 31 0.7× 75 1.7× 13 351
Anke Liebhaber Germany 7 263 1.1× 113 1.2× 54 1.1× 39 0.9× 84 2.0× 10 329
Maher Aassi Switzerland 8 230 1.0× 106 1.2× 72 1.5× 38 0.9× 105 2.4× 13 309
Julia A. Ford United States 10 205 0.9× 43 0.5× 32 0.7× 19 0.4× 37 0.9× 19 292
G.J. Tijhuis Netherlands 10 414 1.7× 140 1.5× 30 0.6× 43 1.0× 58 1.3× 13 518
Sofia Pazmiño Belgium 14 251 1.0× 100 1.1× 41 0.8× 31 0.7× 59 1.4× 57 354
Leopoldo Luiz dos Santos Neto Brazil 11 233 1.0× 104 1.1× 21 0.4× 43 1.0× 25 0.6× 27 322
Hedley Griffiths Australia 12 249 1.0× 127 1.4× 77 1.6× 47 1.1× 56 1.3× 31 304
Adam Young United Kingdom 11 362 1.5× 146 1.6× 52 1.1× 64 1.5× 94 2.2× 24 469
D Hofman Netherlands 4 499 2.1× 207 2.3× 75 1.5× 73 1.7× 61 1.4× 4 544

Countries citing papers authored by Jacqueline R. Chipping

Since Specialization
Citations

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

Fields of papers citing papers by Jacqueline R. Chipping

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacqueline R. Chipping. 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 Jacqueline R. Chipping. The network helps show where Jacqueline R. Chipping may publish in the future.

Co-authorship network of co-authors of Jacqueline R. Chipping

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

All Works

16 of 16 papers shown
1.
Chipping, Jacqueline R., J. Dainty, Susan Miles, et al.. (2025). Feasibility of attention-based virtual reality interventions in fibromyalgia syndrome: comparing systems, virtual environments and activities. British Journal of Pain. 19(2). 71–85. 3 indexed citations
2.
Gwinnutt, James M., Sam Norton, Kimme L Hyrich, et al.. (2022). Influence of Social Support, Financial Status, and Lifestyle on the Disparity Between Inflammation and Disability in Rheumatoid Arthritis. Arthritis Care & Research. 75(5). 1026–1035. 9 indexed citations
3.
Gwinnutt, James M., Sam Norton, Kimme L Hyrich, et al.. (2022). Exploring the disparity between inflammation and disability in the 10-year outcomes of people with rheumatoid arthritis. Lara D. Veeken. 61(12). 4687–4701. 8 indexed citations
4.
Smith, Toby O., Pippa Belderson, J. Dainty, et al.. (2021). Impact of COVID-19 pandemic social restriction measures on people with rheumatic and musculoskeletal diseases in the UK: a mixed-methods study. BMJ Open. 11(6). e048772–e048772. 17 indexed citations
5.
Gwinnutt, James M., Emma Flanagan, Jacqueline R. Chipping, et al.. (2021). Reduced cognitive ability in people with rheumatoid arthritis compared with age-matched healthy controls. Rheumatology Advances in Practice. 5(2). rkab044–rkab044. 9 indexed citations
6.
7.
Bluett, James, Jamie C. Sergeant, Alex J. MacGregor, et al.. (2018). Risk factors for oral methotrexate failure in patients with inflammatory polyarthritis: results from a UK prospective cohort study. Arthritis Research & Therapy. 20(1). 50–50. 31 indexed citations
8.
Gwinnutt, James M., Deborah Symmons, Alex J. MacGregor, et al.. (2018). Have the 10-year outcomes of patients with early inflammatory arthritis improved in the new millennium compared with the decade before? Results from the Norfolk Arthritis Register. Annals of the Rheumatic Diseases. 77(6). 848–854. 25 indexed citations
9.
Skeoch, Sarah, Miriam O’Sullivan, James M. Gwinnutt, et al.. (2017). SAT0092 Progression of atherosclerosis over 5 years in a cohort of early inflammatory arthritis patients: results from the norfolk arthritis register. Annals of the Rheumatic Diseases. 76. 803–803. 1 indexed citations
10.
11.
Gwinnutt, James M., Deborah Symmons, Alex J. MacGregor, et al.. (2017). Twenty‐Year Outcome and Association Between Early Treatment and Mortality and Disability in an Inception Cohort of Patients With Rheumatoid Arthritis: Results From the Norfolk Arthritis Register. Arthritis & Rheumatology. 69(8). 1566–1575. 48 indexed citations
12.
Gwinnutt, James M., Deborah Symmons, Alex J. MacGregor, et al.. (2017). Predictors of and outcomes following orthopaedic joint surgery in patients with early rheumatoid arthritis followed for 20 years. Lara D. Veeken. 56(9). 1510–1517. 12 indexed citations
13.
Ramanujam, Sangeetha, Deborah Symmons, Tarnya Marshall, et al.. (2014). FRI0089 Respiratory Morbidity and Mortality in Early Rheumatoid Arthritis. Annals of the Rheumatic Diseases. 73. 414–414. 1 indexed citations
14.
Lunt, Mark, et al.. (2014). Has the Severity of Rheumatoid Arthritis at Presentation Diminished Over Time?. The Journal of Rheumatology. 41(8). 1590–1599. 26 indexed citations
15.
Welsh, Paul, Suzanne Verstappen, Tarnya Marshall, et al.. (2013). N-terminal pro-brain-type natriuretic peptide (NT-pro-BNP) and mortality risk in early inflammatory polyarthritis: results from the Norfolk Arthritis Registry (NOAR). Annals of the Rheumatic Diseases. 73(4). 684–690. 28 indexed citations
16.
Humphreys, Jennifer, Suzanne Verstappen, Kimme L Hyrich, et al.. (2012). The incidence of rheumatoid arthritis in the UK: comparisons using the 2010 ACR/EULAR classification criteria and the 1987 ACR classification criteria. Results from the Norfolk Arthritis Register. Annals of the Rheumatic Diseases. 72(8). 1315–1320. 112 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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