Paul Gamble
Impact in
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Nerve injury and regeneration
- Hepatology top 10%
- Liver Disease and Transplantation
Papers in
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- Neuroscience and Neural Engineering 4
- Nerve injury and regeneration 2
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- Spine and Intervertebral Disc Pathology 2
- Spinal Cord Injury Research 2
- Co-authors
- Wilson Z. Ray (10 shared papers)Matthew R. MacEwan (5 shared papers)Manu Stephen (4 shared papers)Yihui Zhang (1 shared paper)Kyung‐In Jang (1 shared paper)Daniel Y. Hong (1 shared paper)Michael R. Bruchas (1 shared paper)Joo Yong Sim (1 shared paper)
- Journals
- Neurosurgery (2 papers)IEEE Reviews in Biomedical Engineering (1 paper)Muscle & Nerve (1 paper)Radiology (1 paper)World Neurosurgery (1 paper)
- Partner nations
- United StatesSouth KoreaSwitzerland
In The Last Decade
Paul Gamble
15 papers receiving 780 citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Cellular and Molecular Neuroscience 341
- Hepatology 80
- Biomedical Engineering 303
- Cognitive Neuroscience 84
- Neurology 55
Countries citing papers authored by Paul Gamble
This map shows the geographic impact of Paul Gamble'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 Paul Gamble with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Gamble more than expected).
Fields of papers citing papers by Paul Gamble
This network shows the impact of papers produced by Paul Gamble. 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 Paul Gamble. The network helps show where Paul Gamble may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul Gamble, 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 | Wireless Optofluidic Systems for Programmable In Vivo Pharmacology and Optogenetics Hit paper breakdown → | 2015 | 387 |
| 2 | 1985 | 88 | |
| 3 | 2018 | 73 | |
| 4 | 2018 | 47 | |
| 5 | 2015 | 32 | |
| 6 | 2015 | 28 | |
| 7 | 1982 | 28 | |
| 8 | 2018 | 26 | |
| 9 | 2017 | 26 | |
| 10 | 2015 | 16 | |
| 11 | 2020 | 13 | |
| 12 | 2016 | 11 | |
| 13 | 2018 | 10 | |
| 14 | 2018 | 3 | |
| 15 | 2014 | 1 |
About Paul Gamble
Paul Gamble is a scholar working on Cellular and Molecular Neuroscience, Pathology and Forensic Medicine, Epidemiology, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 15 papers that have together received 789 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (4 papers), Spine and Intervertebral Disc Pathology (2 papers), Nerve injury and regeneration (2 papers), Transcranial Magnetic Stimulation Studies (2 papers), Emergency and Acute Care Studies (2 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Spinal Cord Injury Research (2 papers) and Hospital Admissions and Outcomes (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (341 citations), Hepatology (80 citations), Biomedical Engineering (303 citations), Cognitive Neuroscience (84 citations) and Neurology (55 citations). Paul Gamble has collaborated with scholars based in United States, South Korea and Switzerland. Frequent co-authors include Wilson Z. Ray, Matthew R. MacEwan, Manu Stephen, Yihui Zhang, Kyung‐In Jang, Daniel Y. Hong, Michael R. Bruchas, Joo Yong Sim, Jae‐Woong Jeong and Shuo Li. Their work appears in journals such as Neurosurgery, IEEE Reviews in Biomedical Engineering, Muscle & Nerve, Radiology and World Neurosurgery.
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.