Michael Sharman

863 total citations
9 papers, 443 citations indexed

About

Michael Sharman is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Cognitive Neuroscience. According to data from OpenAlex, Michael Sharman has authored 9 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Neurology and 2 papers in Cognitive Neuroscience. Recurrent topics in Michael Sharman's work include Advanced Neuroimaging Techniques and Applications (6 papers), Neurological disorders and treatments (4 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). Michael Sharman is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (6 papers), Neurological disorders and treatments (4 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). Michael Sharman collaborates with scholars based in France, United Kingdom and United States. Michael Sharman's co-authors include Stéphane Lehéricy, Romain Valabrègue, Marie Vidailhet, Alexis Brice, Habib Benali, Vincent Perlbarg, Linda Marrakchi‐Kacem, Raphaël Paquin, Cécile Galléa and Jean‐Christophe Corvol and has published in prestigious journals such as Neurology, Human Brain Mapping and Intensive Care Medicine.

In The Last Decade

Michael Sharman

9 papers receiving 439 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Sharman France	8	249	130	127	121	65	9	443
Sofia Reimão Portugal	12	362 1.5×	89 0.7×	26 0.2×	152 1.3×	68 1.0×	43	487
Albert Stezin India	11	233 0.9×	53 0.4×	40 0.3×	109 0.9×	60 0.9×	49	364
Nicolas Carrière France	8	281 1.1×	49 0.4×	86 0.7×	81 0.7×	17 0.3×	24	365
Yoshihiko Horimoto Japan	9	232 0.9×	48 0.4×	29 0.2×	136 1.1×	75 1.2×	19	377
Shahnaz Miri United States	13	286 1.1×	66 0.5×	51 0.4×	48 0.4×	165 2.5×	26	512
Caio M. Matias United States	12	192 0.8×	40 0.3×	58 0.5×	126 1.0×	36 0.6×	48	392
Sadegh Ghaderi Iran	11	162 0.7×	100 0.8×	33 0.3×	75 0.6×	29 0.4×	52	281
Kaito Takabayashi Japan	12	135 0.5×	207 1.6×	39 0.3×	341 2.8×	31 0.5×	32	499
Vijay Chandran India	8	335 1.3×	81 0.6×	46 0.4×	180 1.5×	17 0.3×	19	380
Katsushige Iwai Japan	8	139 0.6×	30 0.2×	74 0.6×	63 0.5×	38 0.6×	20	292

Countries citing papers authored by Michael Sharman

Since Specialization

Citations

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

Fields of papers citing papers by Michael Sharman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Sharman

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Sharman. A scholar is included among the top collaborators of Michael Sharman 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 Michael Sharman. Michael Sharman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Pyatigorskaya, Nadya, Michael Sharman, Jean‐Christophe Corvol, et al.. (2015). High nigral iron deposition in LRRK2 and Parkin mutation carriers using R2* relaxometry. Movement Disorders. 30(8). 1077–1084. 74 indexed citations

Warhurst, Geoffrey, Graham Dunn, Paul Chadwick, et al.. (2014). Diagnostic accuracy of SeptiFast multi-pathogen real-time PCR in the setting of suspected healthcare-associated bloodstream infection. Intensive Care Medicine. 41(1). 86–93. 37 indexed citations

Hamamé, Carlos M., Marcin Szwed, Michael Sharman, et al.. (2013). Dejerine's reading area revisited with intracranial EEG. Neurology. 80(6). 602–603. 18 indexed citations

Lehéricy, Stéphane, et al.. (2012). Magnetic resonance imaging of the substantia nigra in Parkinson's disease. Movement Disorders. 27(7). 822–830. 72 indexed citations

Delmaire, Christine, Eve M. Dumas, Michael Sharman, et al.. (2012). The structural correlates of functional deficits in early huntington's disease. Human Brain Mapping. 34(9). 2141–2153. 69 indexed citations

Sharman, Michael, Romain Valabrègue, Vincent Perlbarg, et al.. (2012). Parkinson's disease patients show reduced cortical‐subcortical sensorimotor connectivity. Movement Disorders. 28(4). 447–454. 113 indexed citations

Sharman, Michael, Julien Cohen‐Adad, Maxime Descoteaux, et al.. (2011). Impact of outliers on diffusion tensor and Q‐ball imaging: Clinical implications and correction strategies. Journal of Magnetic Resonance Imaging. 33(6). 1491–1502. 8 indexed citations

Migliaccio, Raffaella, Federica Agosta, Monica N. Toba, et al.. (2011). Brain networks in posterior cortical atrophy: A single case tractography study and literature review. Cortex. 48(10). 1298–1309. 51 indexed citations

Moore, John, et al.. (2010). National Survey of the Use of Non-Invasive Respiratory Support for Acute Cardiogenic Pulmonary Oedema in Coronary Care Units in England. Journal of the Intensive Care Society. 11(3). 179–181. 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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