Gary Cutter
- Pathology and Forensic Medicine top 0.01%
- Multiple Sclerosis Research Studies 282
- Systemic Sclerosis and Related Diseases 35
- Neurology top 0.05%
- Peripheral Neuropathies and Disorders 47
- Myasthenia Gravis and Thymoma 36
- Rheumatology top 0.1%
- Rheumatoid Arthritis Research and Therapies 37
- Periodontics top 0.2%
- Ophthalmology top 0.2%
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- Polyomavirus and related diseases 42
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- Health Systems, Economic Evaluations, Quality of Life 36
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- Statistical Methods in Clinical Trials 33
- Co-authors
- Ruth Ann MarrieTuula TyryStephen C. ReingoldRichard A. RudickAmber SalterTimothy VollmerMonika BaierJill S. Fischer
- Journals
- Neurology (91 papers)Multiple Sclerosis Journal (74 papers)Multiple Sclerosis and Related Disorders (46 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Gary Cutter
728 papers receiving 33.8k citations
Hit Papers
Peers
Comparison fields: 5 of 211
- Pathology and Forensic Medicine 13.6k
- Neurology 5.7k
- Rheumatology 3.3k
- Periodontics 878
- Ophthalmology 1.6k
Countries citing papers authored by Gary Cutter
This map shows the geographic impact of Gary Cutter'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 Gary Cutter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary Cutter more than expected).
Fields of papers citing papers by Gary Cutter
This network shows the impact of papers produced by Gary Cutter. 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 Gary Cutter. The network helps show where Gary Cutter may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gary Cutter, 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 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 10 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 7 | |
| 9 | 2022 | 7 | |
| 10 | 2021 | 6 | |
| 11 | 2021 | 2 | |
| 12 | 2020 | 39 | |
| 13 | 2019 | 74 | |
| 14 | 2018 | 68 | |
| 15 | 2017 | 54 | |
| 16 | 2016 | 238 | |
| 17 | 2014 | 38 | |
| 18 | 2008 | 210 | |
| 19 | 2005 | 133 | |
| 20 | Competing demands in the office visit: what influences mammography recommendations? | 2002 | 89 |
About Gary Cutter
Gary Cutter is a scholar working on Pathology and Forensic Medicine, Neurology and Statistics and Probability, having authored 770 papers that have together received 35.1k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (282 papers), Peripheral Neuropathies and Disorders (47 papers), Polyomavirus and related diseases (42 papers), Rheumatoid Arthritis Research and Therapies (37 papers), Health Systems, Economic Evaluations, Quality of Life (36 papers), Myasthenia Gravis and Thymoma (36 papers), Systemic Sclerosis and Related Diseases (35 papers) and Statistical Methods in Clinical Trials (33 papers). The work is most often cited by research in Pathology and Forensic Medicine (13.6k citations), Neurology (5.7k citations) and Rheumatology (3.3k citations). Gary Cutter has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Ruth Ann Marrie, Tuula Tyry, Stephen C. Reingold, Richard A. Rudick, Amber Salter, Timothy Vollmer, Monika Baier, Jill S. Fischer, David R. Jacobs and Denise I. Campagnolo. Their work appears in journals such as Neurology, Multiple Sclerosis Journal, Multiple Sclerosis and Related Disorders, Muscle & Nerve and American Journal of Obstetrics and Gynecology.
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.