Scott F. Farrell
- Pharmacology top 5%
- Musculoskeletal pain and rehabilitation 21
- Internal Medicine top 5%
- Medical Laboratory Technology top 10%
- Pathology and Forensic Medicine top 10%
- Spine and Intervertebral Disc Pathology 16
- Psychiatry and Mental health top 10%
- Fibromyalgia and Chronic Fatigue Syndrome Research 7
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- Spinal Fractures and Fixation Techniques 11
- Cervical and Thoracic Myelopathy 5
- Shoulder Injury and Treatment 4
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- Pain Mechanisms and Treatments 10
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- Myofascial pain diagnosis and treatment 6
- Co-authors
- Michele SterlingRutger M. J. de ZoetePeter G. OsmotherlyDarren A. RivettTim HayesJon CornwallIris CoppietersSuzanne J. Snodgrass
- Partner nations
- AustraliaNew ZealandUnited States
In The Last Decade
Scott F. Farrell
43 papers receiving 551 citations
Peers
Comparison fields: 5 of 77
- Pharmacology 312
- Internal Medicine 64
- Medical Laboratory Technology 12
- Pathology and Forensic Medicine 139
- Psychiatry and Mental health 93
Countries citing papers authored by Scott F. Farrell
This map shows the geographic impact of Scott F. Farrell'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 Scott F. Farrell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott F. Farrell more than expected).
Fields of papers citing papers by Scott F. Farrell
This network shows the impact of papers produced by Scott F. Farrell. 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 Scott F. Farrell. The network helps show where Scott F. Farrell may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Scott F. Farrell, 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 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 5 | |
| 8 | 2022 | 16 | |
| 9 | 2020 | 0 | |
| 10 | 2019 | 65 | |
| 11 | 2019 | 2 | |
| 12 | 2018 | 13 | |
| 13 | 2018 | 3 | |
| 14 | 2017 | 1 | |
| 15 | Fibre types of human suboccipital muscles | 2016 | 4 |
| 16 | 2016 | 7 | |
| 17 | 2014 | 10 | |
| 18 | 2014 | 8 | |
| 19 | 2013 | 7 | |
| 20 | Informed consent, patient satisfaction and length of hospitalisation: the contribution of written information leaflets | 1999 | 2 |
About Scott F. Farrell
Scott F. Farrell is a scholar working on Pharmacology, Pathology and Forensic Medicine and Psychiatry and Mental health, having authored 48 papers that have together received 566 indexed citations. Recurring topics across this work include Musculoskeletal pain and rehabilitation (21 papers), Spine and Intervertebral Disc Pathology (16 papers), Spinal Fractures and Fixation Techniques (11 papers), Pain Mechanisms and Treatments (10 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (7 papers), Myofascial pain diagnosis and treatment (6 papers), Cervical and Thoracic Myelopathy (5 papers) and Shoulder Injury and Treatment (4 papers). The work is most often cited by research in Pharmacology (312 citations), Internal Medicine (64 citations) and Medical Laboratory Technology (12 citations). Scott F. Farrell has collaborated with scholars based in Australia, New Zealand and United States. Frequent co-authors include Michele Sterling, Rutger M. J. de Zoete, Peter G. Osmotherly, Darren A. Rivett, Tim Hayes, Jon Cornwall, Iris Coppieters, Suzanne J. Snodgrass, Peter J. Cabot and Ashley Smith. Their work appears in journals such as Brain, Cochrane Database of Systematic Reviews and Pain.
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.