Simon J. Summers
Impact in
-
- Pain Management and Treatment
- Neurology top 10%
- Transcranial Magnetic Stimulation Studies
Papers in
- Pharmacology 12
- Musculoskeletal pain and rehabilitation 12
- Neurology 10
- Transcranial Magnetic Stimulation Studies 10
- Co-authors
- Rocco Cavaleri (17 shared papers)Lucy Chipchase (10 shared papers)Siobhan M. Schabrun (7 shared papers)John Booth (2 shared papers)Matthew D. Jones (2 shared papers)Sarah B. Wallwork (4 shared papers)Diana M. Perriman (1 shared paper)Tasha R. Stanton (3 shared papers)
- Journals
- Pain (4 papers)BMJ Open (4 papers)Journal of Pain (4 papers)Musculoskeletal Science and Practice (3 papers)Pain Medicine (2 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Simon J. Summers
29 papers receiving 500 citations
Peers
Comparison fields: 5 of 56
- Anesthesiology and Pain Medicine 67
- Neurology 84
- Pharmacology 165
- Psychiatry and Mental health 63
- Physiology 100
Countries citing papers authored by Simon J. Summers
This map shows the geographic impact of Simon J. Summers'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 Simon J. Summers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon J. Summers more than expected).
Fields of papers citing papers by Simon J. Summers
This network shows the impact of papers produced by Simon J. Summers. 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 Simon J. Summers. The network helps show where Simon J. Summers may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon J. Summers, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 114 | |
| 2 | 2020 | 59 | |
| 3 | 2019 | 44 | |
| 4 | 2021 | 35 | |
| 5 | 2019 | 32 | |
| 6 | 2024 | 32 | |
| 7 | 2019 | 22 | |
| 8 | 2004 | 21 | |
| 9 | 2024 | 18 | |
| 10 | 2020 | 17 | |
| 11 | 2022 | 15 | |
| 12 | 2020 | 14 | |
| 13 | 2020 | 10 | |
| 14 | 2021 | 9 | |
| 15 | 2023 | 9 | |
| 16 | 2022 | 9 | |
| 17 | 2019 | 7 | |
| 18 | 2020 | 7 | |
| 19 | 2023 | 6 | |
| 20 | 2018 | 5 |
About Simon J. Summers
Simon J. Summers is a scholar working on Pharmacology, Neurology, Cognitive Neuroscience, Physiology and Biomedical Engineering, having authored 34 papers that have together received 509 indexed citations. Recurring topics across this work include Musculoskeletal pain and rehabilitation (12 papers), Transcranial Magnetic Stimulation Studies (10 papers), Muscle activation and electromyography studies (4 papers), Pain Mechanisms and Treatments (4 papers), Pain Management and Treatment (3 papers), Motor Control and Adaptation (2 papers), Sports injuries and prevention (2 papers) and Pain Management and Placebo Effect (2 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (67 citations), Neurology (84 citations), Pharmacology (165 citations), Psychiatry and Mental health (63 citations) and Physiology (100 citations). Simon J. Summers has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Rocco Cavaleri, Lucy Chipchase, Siobhan M. Schabrun, John Booth, Matthew D. Jones, Sarah B. Wallwork, Diana M. Perriman, Tasha R. Stanton, Brenton Hordacre and G. Lorimer Moseley. Their work appears in journals such as Pain, BMJ Open, Journal of Pain, Musculoskeletal Science and Practice and Pain Medicine.
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.