Roman Fleysher

3.1k total citations
52 papers, 1.1k citations indexed

About

Roman Fleysher is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology and Infectious Diseases. According to data from OpenAlex, Roman Fleysher has authored 52 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Epidemiology and 9 papers in Infectious Diseases. Recurrent topics in Roman Fleysher's work include Advanced MRI Techniques and Applications (21 papers), Advanced Neuroimaging Techniques and Applications (20 papers) and Traumatic Brain Injury Research (11 papers). Roman Fleysher is often cited by papers focused on Advanced MRI Techniques and Applications (21 papers), Advanced Neuroimaging Techniques and Applications (20 papers) and Traumatic Brain Injury Research (11 papers). Roman Fleysher collaborates with scholars based in United States, France and Germany. Roman Fleysher's co-authors include Michael L. Lipton, Lazar Fleysher, Oded Gonen, Songtao Liu, Timothy Q. Duong, Wouter S. Hoogenboom, Richard B. Lipton, Justin Lu, Wei Hou and Walter F. Stewart and has published in prestigious journals such as Nature Communications, PLoS ONE and NeuroImage.

In The Last Decade

Roman Fleysher

48 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Roman Fleysher United States 19 539 254 209 191 113 52 1.1k
M. Paley United Kingdom 20 357 0.7× 224 0.9× 243 1.2× 196 1.0× 61 0.5× 40 1.2k
Isabella M. Björkman‐Burtscher Sweden 23 940 1.7× 158 0.6× 156 0.7× 58 0.3× 74 0.7× 88 1.8k
J Sipponen Finland 20 413 0.8× 180 0.7× 154 0.7× 50 0.3× 95 0.8× 50 1.2k
Christine J. Baudouin United Kingdom 13 350 0.6× 70 0.3× 172 0.8× 66 0.3× 46 0.4× 24 891
Andrea Righini Italy 17 687 1.3× 277 1.1× 124 0.6× 35 0.2× 67 0.6× 39 1.3k
Dawn E. Saunders United Kingdom 32 1.1k 2.1× 664 2.6× 533 2.6× 55 0.3× 77 0.7× 85 3.2k
Haiying Liu United States 18 636 1.2× 144 0.6× 175 0.8× 61 0.3× 105 0.9× 42 1.4k
C. Leon Partain United States 25 797 1.5× 118 0.5× 290 1.4× 40 0.2× 64 0.6× 103 1.8k
Dongfeng Lu United States 13 599 1.1× 108 0.4× 157 0.8× 38 0.2× 56 0.5× 19 974
Jerzy Walecki Poland 28 778 1.4× 523 2.1× 532 2.5× 135 0.7× 58 0.5× 212 2.7k

Countries citing papers authored by Roman Fleysher

Since Specialization
Citations

This map shows the geographic impact of Roman Fleysher'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 Roman Fleysher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roman Fleysher more than expected).

Fields of papers citing papers by Roman Fleysher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roman Fleysher. 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 Roman Fleysher. The network helps show where Roman Fleysher may publish in the future.

Co-authorship network of co-authors of Roman Fleysher

This figure shows the co-authorship network connecting the top 25 collaborators of Roman Fleysher. A scholar is included among the top collaborators of Roman Fleysher based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Roman Fleysher. Roman Fleysher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Fleysher, Roman, et al.. (2026). Automated characterization of the gray matter white matter distribution demonstrates age-related decline. Scientific Reports. 16(1). 4238–4238.
2.
3.
Fleysher, Roman, Kenny Ye, Mimi Kim, et al.. (2025). Orbitofrontal Gray-White Interface Injury and the Association of Soccer Heading With Verbal Learning. JAMA Network Open. 8(9). e2532461–e2532461.
4.
Fleysher, Roman, Erica Weiss, Noa Tal, et al.. (2024). Hypothalamic MRI-derived microstructure is associated with neurocognitive aging in humans. Neurobiology of Aging. 141. 102–112. 1 indexed citations
5.
Cho, Chang Hoon, Roman Fleysher, Sophie Molholm, et al.. (2023). ANKS1B encoded AIDA-1 regulates social behaviors by controlling oligodendrocyte function. Nature Communications. 14(1). 8499–8499. 5 indexed citations
6.
Henry, Sonya, et al.. (2023). Hospitalization, Critical Illness, and Mortality Outcomes of COVID‐19 in Patients With Rheumatoid Arthritis. ACR Open Rheumatology. 5(9). 465–473. 2 indexed citations
7.
Wang, Stephen, Rebecca B. Jennings, Helen Tang, et al.. (2023). Incidence, characteristics, risk factors and outcomes of diabetic ketoacidosis in COVID ‐19 patients: Comparison with influenza and pre‐pandemic data. Diabetes Obesity and Metabolism. 25(9). 2482–2494. 18 indexed citations
8.
Mahoney, Jeannette R., Helena M. Blumen, Pierfilippo De Sanctis, et al.. (2023). Visual-somatosensory integration (VSI) as a novel marker of Alzheimer’s disease: A comprehensive overview of the VSI study. Frontiers in Aging Neuroscience. 15. 1125114–1125114. 6 indexed citations
9.
Ye, Kenny, Roman Fleysher, Richard B. Lipton, et al.. (2022). Repetitive soccer heading adversely impacts short-term learning among adult women. Journal of science and medicine in sport. 25(11). 935–941. 11 indexed citations
10.
Lipton, Michael L., et al.. (2020). Registration quality filtering improves robustness of voxel-wise analyses to the choice of brain template. NeuroImage. 227. 117657–117657. 3 indexed citations
11.
Strauß, Sara, Roman Fleysher, Kenny Ye, et al.. (2020). Framing potential for adverse effects of repetitive subconcussive impacts in soccer in the context of athlete and non-athlete controls. Brain Imaging and Behavior. 15(2). 882–895. 22 indexed citations
12.
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Kim, Namhee, Moonseong Heo, Roman Fleysher, Craig A. Branch, & Michael L. Lipton. (2016). Two step Gaussian mixture model approach to characterize white matter disease based on distributional changes. Journal of Neuroscience Methods. 270. 156–164. 2 indexed citations
14.
Catenaccio, Eva, Jaclyn B. Caccese, Roman Fleysher, et al.. (2016). Validation and calibration of HeadCount, a self-report measure for quantifying heading exposure in soccer players. Research in Sports Medicine. 24(4). 416–425. 38 indexed citations
15.
Kellner, Elias, Peter Gall, Matthias Günther, et al.. (2014). Blood Tracer Kinetics in the Arterial Tree. PLoS ONE. 9(10). e109230–e109230. 7 indexed citations
16.
Tang, Joel A., et al.. (2010). Extended para-hydrogenation monitored by NMR spectroscopy. Chemical Communications. 47(3). 958–960. 15 indexed citations
17.
Fleysher, Roman, Lazar Fleysher, Songtao Liu, & Oded Gonen. (2008). On the voxel size and magnetic field strength dependence of spectral resolution in magnetic resonance spectroscopy. Magnetic Resonance Imaging. 27(2). 222–232. 8 indexed citations
18.
Fleysher, Lazar, Roman Fleysher, Songtao Liu, Wafaa Zaaraoui, & Oded Gonen. (2007). Optimizing the precision‐per‐unit‐time of quantitative MR metrics: Examples forT1,T2, and DTI. Magnetic Resonance in Medicine. 57(2). 380–387. 31 indexed citations
19.
Fleysher, Roman. (2005). Discovery of Diffuse TeV Gamma Ray Emission from the Galactic Plane using Milagro Detector. AIP conference proceedings. 745. 269–274. 2 indexed citations
20.
Fleysher, Roman. (2003). Preliminary Evidence for TeV Gamma Ray Emission from the Galactic Plane Using the Milagro Detector. International Cosmic Ray Conference. 4. 2269. 1 indexed citations

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.

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