Nicola Goodson
- Rheumatology top 0.2%
- Rheumatoid Arthritis Research and Therapies 46
- Spondyloarthritis Studies and Treatments 33
- Systemic Lupus Erythematosus Research 16
- Hematology top 2%
- Autoimmune and Inflammatory Disorders Research 6
- Immunology top 5%
- Psoriasis: Treatment and Pathogenesis 20
- Psychiatry and Mental health top 5%
- Fibromyalgia and Chronic Fatigue Syndrome Research 10
- Hepatology top 5%
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- Musculoskeletal pain and rehabilitation 7
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- Orthopedic Infections and Treatments 4
- Co-authors
- Sizheng Steven ZhaoStephen DuffieldAlan J. SilmanDeborah SymmonsMark LuntNatasha MillerRobert J. MootsDavid M. Hughes
- Cited by
- RheumatologyHematologyImmunology
- Partner nations
- United KingdomUnited StatesBrazil
In The Last Decade
Nicola Goodson
75 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 107
- Rheumatology 2.2k
- Hematology 475
- Immunology 722
- Psychiatry and Mental health 381
- Hepatology 149
Countries citing papers authored by Nicola Goodson
This map shows the geographic impact of Nicola Goodson'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 Nicola Goodson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicola Goodson more than expected).
Fields of papers citing papers by Nicola Goodson
This network shows the impact of papers produced by Nicola Goodson. 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 Nicola Goodson. The network helps show where Nicola Goodson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nicola Goodson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 18 | |
| 2 | 2024 | 0 | |
| 3 | 2021 | 1 | |
| 4 | 2020 | 93 | |
| 5 | 2020 | 4 | |
| 6 | 2020 | 4 | |
| 7 | 2019 | 59 | |
| 8 | 2019 | 94 | |
| 9 | 2018 | 16 | |
| 10 | 2017 | 102 | |
| 11 | 2016 | 1 | |
| 12 | 2015 | 65 | |
| 13 | Impact of Obesity on 1 Year Outcomes: Results from the Meteor Foundation International Rheumatoid Arthritis Cohort | 2014 | 2 |
| 14 | 2014 | 44 | |
| 15 | 2013 | 70 | |
| 16 | 2008 | 138 | |
| 17 | 2006 | 331 | |
| 18 | 2004 | 36 | |
| 19 | KNEE EXERCISE CLASSES ARE SUPERIOR TO HOME EXERCISES IN REDUCING PAIN AND INCREASING FUNCTION IN PATIENTS WITH KNEE OSTEOARTHRITIS: RESULTS FROM A RANDOMISED CLINICAL TRIAL | 2002 | 3 |
| 20 | 2002 | 273 |
About Nicola Goodson
Nicola Goodson is a scholar working on Rheumatology, Immunology and Psychiatry and Mental health, having authored 80 papers that have together received 3.1k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (46 papers), Spondyloarthritis Studies and Treatments (33 papers), Psoriasis: Treatment and Pathogenesis (20 papers), Systemic Lupus Erythematosus Research (16 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (10 papers), Musculoskeletal pain and rehabilitation (7 papers), Autoimmune and Inflammatory Disorders Research (6 papers) and Orthopedic Infections and Treatments (4 papers). The work is most often cited by research in Rheumatology (2.2k citations), Hematology (475 citations) and Immunology (722 citations). Nicola Goodson has collaborated with scholars based in United Kingdom, United States and Brazil. Frequent co-authors include Sizheng Steven Zhao, Stephen Duffield, Alan J. Silman, Deborah Symmons, Mark Lunt, Natasha Miller, Robert J. Moots, David M. Hughes, Nicola Wiles and E M Barrett. Their work appears in journals such as Scientific Reports, Pain and Ophthalmology.
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.