Roland G. Henry
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- Advanced Neuroimaging Techniques and Applications 70
- Advanced MRI Techniques and Applications 50
- MRI in cancer diagnosis 21
- Computational Mathematics top 2%
- Developmental Neuroscience top 0.5%
- Neurology top 0.5%
- Pathology and Forensic Medicine top 0.5%
- Multiple Sclerosis Research Studies 46
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- Neonatal and fetal brain pathology 13
- Fetal and Pediatric Neurological Disorders 11
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- Functional Brain Connectivity Studies 13
- Neurobiology of Language and Bilingualism 8
- Co-authors
- Jeffrey BermanPratik MukherjeeDaniel B. VigneronSung Won ChungBruce L. MillerA. James BarkovichMitchel S. BergerYing Lü
- Journals
- Proceedings of the National Academy of Sciences (2 papers)The Lancet (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesItalySwitzerland
In The Last Decade
Roland G. Henry
150 papers receiving 9.9k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Radiology, Nuclear Medicine and Imaging 5.0k
- Computational Mathematics 76
- Developmental Neuroscience 531
- Neurology 1.7k
- Pathology and Forensic Medicine 2.0k
Countries citing papers authored by Roland G. Henry
This map shows the geographic impact of Roland G. Henry'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 Roland G. Henry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roland G. Henry more than expected).
Fields of papers citing papers by Roland G. Henry
This network shows the impact of papers produced by Roland G. Henry. 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 Roland G. Henry. The network helps show where Roland G. Henry may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Roland G. Henry, 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 | 3 | |
| 3 | 2024 | 10 | |
| 4 | 2023 | 16 | |
| 5 | 2023 | 29 | |
| 6 | 2022 | 9 | |
| 7 | 2021 | 11 | |
| 8 | 2020 | 22 | |
| 9 | 2020 | 0 | |
| 10 | 2019 | 49 | |
| 11 | 2018 | 27 | |
| 12 | 2018 | 13 | |
| 13 | 2016 | 67 | |
| 14 | 2015 | 23 | |
| 15 | 2014 | 120 | |
| 16 | 2008 | 357 | |
| 17 | 2006 | 95 | |
| 18 | 2004 | 155 | |
| 19 | 2004 | 65 | |
| 20 | 2003 | 63 |
About Roland G. Henry
Roland G. Henry is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Computational Mathematics, having authored 153 papers that have together received 10.1k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (70 papers), Advanced MRI Techniques and Applications (50 papers), Multiple Sclerosis Research Studies (46 papers), MRI in cancer diagnosis (21 papers), Neonatal and fetal brain pathology (13 papers), Functional Brain Connectivity Studies (13 papers), Fetal and Pediatric Neurological Disorders (11 papers) and Neurobiology of Language and Bilingualism (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (5.0k citations), Computational Mathematics (76 citations) and Developmental Neuroscience (531 citations). Roland G. Henry has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Jeffrey Berman, Pratik Mukherjee, Daniel B. Vigneron, Sung Won Chung, Bruce L. Miller, A. James Barkovich, Mitchel S. Berger, Ying Lü, Christopher P. Hess and Sarah J. Nelson. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Nature Communications.
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.