J. Haxby Abbott

11.4k total citations · 1 hit paper
160 papers, 5.2k citations indexed

About

J. Haxby Abbott is a scholar working on Pharmacology, Surgery and Rheumatology. According to data from OpenAlex, J. Haxby Abbott has authored 160 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Pharmacology, 76 papers in Surgery and 55 papers in Rheumatology. Recurrent topics in J. Haxby Abbott's work include Musculoskeletal pain and rehabilitation (74 papers), Osteoarthritis Treatment and Mechanisms (54 papers) and Total Knee Arthroplasty Outcomes (28 papers). J. Haxby Abbott is often cited by papers focused on Musculoskeletal pain and rehabilitation (74 papers), Osteoarthritis Treatment and Mechanisms (54 papers) and Total Knee Arthroplasty Outcomes (28 papers). J. Haxby Abbott collaborates with scholars based in New Zealand, United States and Australia. J. Haxby Abbott's co-authors include David Baxter, Alexis A. Wright, John Schmitt, Cheryl Hefford, Paul Hansen, Chad Cook, Kim L. Bennell, Ross Wilson, Saurab Sharma and Rana S. Hinman and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and Annals of Internal Medicine.

In The Last Decade

J. Haxby Abbott

149 papers receiving 5.0k citations

Hit Papers

OARSI recommended performance-based tests to assess physi... 2013 2026 2017 2021 2013 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Haxby Abbott New Zealand 40 2.2k 1.9k 1.6k 715 657 160 5.2k
Carsten Bogh Juhl Denmark 40 2.3k 1.0× 1.0k 0.5× 1.9k 1.1× 832 1.2× 807 1.2× 184 5.6k
Adam P. Goode United States 37 2.2k 1.0× 1.6k 0.8× 982 0.6× 805 1.1× 425 0.6× 131 4.8k
Lucie Brosseau Canada 46 1.5k 0.7× 1.7k 0.9× 1.1k 0.7× 550 0.8× 499 0.8× 114 5.9k
Donna M. Urquhart Australia 43 1.9k 0.8× 2.7k 1.4× 1.1k 0.7× 760 1.1× 770 1.2× 137 5.5k
Yvonne M. Golightly United States 36 1.7k 0.8× 1.3k 0.7× 2.4k 1.5× 1.0k 1.4× 854 1.3× 209 5.3k
Melissa French Canada 15 1.6k 0.7× 1.8k 0.9× 1.3k 0.8× 473 0.7× 350 0.5× 21 5.2k
Leo D. Roorda Netherlands 39 1.6k 0.7× 1.2k 0.6× 2.2k 1.4× 472 0.7× 929 1.4× 175 5.1k
Marlene Fransen Australia 29 1.9k 0.9× 1.2k 0.6× 2.0k 1.2× 474 0.7× 874 1.3× 73 4.2k
Michael Hurley United Kingdom 30 1.1k 0.5× 869 0.4× 1.2k 0.8× 444 0.6× 683 1.0× 91 3.5k
Andrew A. Guccione United States 24 1.1k 0.5× 1.2k 0.6× 1.4k 0.8× 279 0.4× 518 0.8× 91 4.0k

Countries citing papers authored by J. Haxby Abbott

Since Specialization
Citations

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

Fields of papers citing papers by J. Haxby Abbott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Haxby Abbott. 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 J. Haxby Abbott. The network helps show where J. Haxby Abbott may publish in the future.

Co-authorship network of co-authors of J. Haxby Abbott

This figure shows the co-authorship network connecting the top 25 collaborators of J. Haxby Abbott. A scholar is included among the top collaborators of J. Haxby Abbott 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 J. Haxby Abbott. J. Haxby Abbott 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
3.
Ribeiro, Daniel Cury, et al.. (2024). Patients' perspectives on planned interventions tested in the Otago MASTER feasibility trial: an implementation-based process evaluation study. Brazilian Journal of Physical Therapy. 28(4). 101086–101086. 1 indexed citations
5.
Abbott, J. Haxby, et al.. (2023). Exploring the current and future osteoarthritis health service delivery needs in Aotearoa New Zealand. New Zealand Medical Journal. 136(1573). 55–66. 1 indexed citations
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Pathak, Anupa, J. Haxby Abbott, Saurab Sharma, Daniel Cury Ribeiro, & Allen W. Heinemann. (2021). Content validity of the Brief and Comprehensive ICF Core Sets for common disabling conditions in a developing country. International Journal of Rehabilitation Research. 44(2). 159–165. 2 indexed citations
8.
Chua, Jason, Paul Hansen, Andrew M. Briggs, et al.. (2020). Stakeholders’ preferences for osteoarthritis interventions in health services: A cross-sectional study using multi-criteria decision analysis. SHILAP Revista de lepidopterología. 2(4). 100110–100110. 4 indexed citations
10.
Wilson, Ross, et al.. (2019). Long-term opioid medication use before and after joint replacement surgery in New Zealand.. PubMed. 132(1507). 33–47. 12 indexed citations
11.
Ribeiro, Daniel Cury, J. Haxby Abbott, Saurab Sharma, & Sarah E Lamb. (2019). Process evaluation of complex interventions tested in randomised controlled trials in musculoskeletal disorders: a systematic review protocol. BMJ Open. 9(5). e028160–e028160. 6 indexed citations
12.
Abbott, J. Haxby, Ross Wilson, Daniel Pinto, Cathy Chapple, & Alexis A. Wright. (2018). Incremental clinical effectiveness and cost effectiveness of providing supervised physiotherapy in addition to usual medical care in patients with osteoarthritis of the hip or knee: 2-year results of the MOA randomised controlled trial. Osteoarthritis and Cartilage. 27(3). 424–434. 44 indexed citations
13.
Ribeiro, Daniel Cury, et al.. (2018). Effectiveness of extrinsic feedback for management of non-specific low back pain: a systematic review protocol. BMJ Open. 8(5). e021259–e021259. 2 indexed citations
14.
Bennell, Kim L., Rachel K Nelligan, Fiona Dobson, et al.. (2017). Effectiveness of an Internet-Delivered Exercise and Pain-Coping Skills Training Intervention for Persons With Chronic Knee Pain. Annals of Internal Medicine. 4 indexed citations
15.
Gwynne‐Jones, David, et al.. (2017). The Joint Clinic: Managing Excess Demand for Hip and Knee Osteoarthritis Referrals Using a New Physiotherapy-Led Outpatient Service. The Journal of Arthroplasty. 33(4). 983–987. 14 indexed citations
16.
Ribeiro, Daniel Cury, Gisela Sole, J. Haxby Abbott, & Stephan Milosavljevic. (2013). Validity and reliability of the Spineangel ® lumbo-pelvic postural monitor. Ergonomics. 56(6). 977–991. 13 indexed citations
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Pinto, Daniel, M. Clare Robertson, Paul Hansen, & J. Haxby Abbott. (2011). Economic evaluation within a factorial-design randomised controlled trial of exercise, manual therapy, or both interventions for osteoarthritis of the hip or knee: study protocol. BMJ Open. 1(1). e000136–e000136. 4 indexed citations
19.
Abbott, J. Haxby, M. Clare Robertson, Joanne E. McKenzie, et al.. (2009). Exercise therapy, manual therapy, or both, for osteoarthritis of the hip or knee: a factorial randomised controlled trial protocol. Trials. 10(1). 11–11. 50 indexed citations
20.
Tumilty, Steve, Joanne Munn, J. Haxby Abbott, et al.. (2008). Laser Therapy in the Treatment of Achilles Tendinopathy: A Pilot Study. Photomedicine and Laser Surgery. 26(1). 25–30. 65 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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