M Steinling

4.6k total citations · 2 hit papers
94 papers, 3.5k citations indexed

About

M Steinling is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, M Steinling has authored 94 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Neurology, 27 papers in Radiology, Nuclear Medicine and Imaging and 19 papers in Pulmonary and Respiratory Medicine. Recurrent topics in M Steinling's work include Traumatic Brain Injury and Neurovascular Disturbances (16 papers), Functional Brain Connectivity Studies (13 papers) and Advanced Neuroimaging Techniques and Applications (12 papers). M Steinling is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (16 papers), Functional Brain Connectivity Studies (13 papers) and Advanced Neuroimaging Techniques and Applications (12 papers). M Steinling collaborates with scholars based in France, Netherlands and Republic of the Congo. M Steinling's co-authors include Didier Leys, Patrick Vermersch, Philip Scheltens, Frederik Barkhof, Jaap Valk, D. Huglo, Jean‐Pierre Pruvo, Erik Ch. Wolters, H. C. Weinstein and Michaël Kuiper and has published in prestigious journals such as NeuroImage, Stroke and Journal of Neurology Neurosurgery & Psychiatry.

In The Last Decade

M Steinling

89 papers receiving 3.4k citations

Hit Papers

Atrophy of medial tempora... 1992 2026 2003 2014 1992 1993 400 800 1.2k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
M Steinling 1.5k 918 884 804 788 94 3.5k
Alberto Beltramello 1.3k 0.9× 1.1k 1.2× 953 1.1× 1.2k 1.5× 1.1k 1.4× 158 4.4k
Hajime Kitagaki 1.3k 0.9× 1.1k 1.2× 1.2k 1.3× 812 1.0× 647 0.8× 129 4.1k
Vittorio Di Piero 1.4k 0.9× 529 0.6× 621 0.7× 1.1k 1.4× 949 1.2× 157 4.4k
G. L. Lenzi 777 0.5× 549 0.6× 654 0.7× 738 0.9× 1.1k 1.4× 93 3.7k
Pauline Maillard 1.3k 0.8× 630 0.7× 1.0k 1.2× 605 0.8× 414 0.5× 104 3.4k
Evan Fletcher 1.5k 1.0× 703 0.8× 1.3k 1.5× 1.4k 1.8× 390 0.5× 80 3.8k
Alida A. Gouw 1.3k 0.9× 746 0.8× 965 1.1× 1.8k 2.2× 921 1.2× 81 4.7k
Mitsuhiro Yoshita 919 0.6× 718 0.8× 699 0.8× 349 0.4× 1.2k 1.5× 70 3.6k
Lena Bronge 793 0.5× 516 0.6× 664 0.8× 351 0.4× 546 0.7× 30 2.3k
Joseph C. Masdeu 909 0.6× 942 1.0× 559 0.6× 823 1.0× 1.3k 1.6× 168 4.5k

Countries citing papers authored by M Steinling

Since Specialization
Citations

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

Fields of papers citing papers by M Steinling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Steinling

This figure shows the co-authorship network connecting the top 25 collaborators of M Steinling. A scholar is included among the top collaborators of M Steinling 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 M Steinling. M Steinling 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.
Mékinian, A., M. Lambert, D. Huglo, et al.. (2011). Pulmonary perfusion scintigraphy: A tool to detect the presence of pulmonary artery involvement in Takayasu's arteritis. La Presse Médicale. 41(2). e37–e42. 14 indexed citations
2.
Kreisler, Alexandre, Luc Defebvre, Alain Duhamel, et al.. (2009). Intérêt de l’analyse factorielle discriminante pour classer les syndromes parkinsoniens à partir de la tomoscintigraphie d’émission monophotonique. Revue Neurologique. 165(5). 440–448. 1 indexed citations
3.
Jardri, Renaud, Delphine Pins, V. Houfflin‐Debarge, et al.. (2008). Fetal cortical activation to sound at 33 weeks of gestation: A functional MRI study. NeuroImage. 42(1). 10–18. 89 indexed citations
4.
Jeune, Florence Le, et al.. (2007). 99mTc-MIBI brain SPECT as an indicator of the chemotherapy response of recurrent, primary brain tumors. Nuclear Medicine Communications. 28(12). 888–894. 8 indexed citations
5.
Quéméneur, T., É. Hachulla, D. Huglo, et al.. (2006). La TEP au 18FDG au cours de l'artérite de Takayasu : un marqueur d'activité de la maladie. La Revue de Médecine Interne. 27(6). 478–481. 6 indexed citations
6.
Vermandel, Maximilien, et al.. (2006). New time-shifted Z-score and Student's test in fMRI. PubMed. 1682. 1010–1013.
7.
Quéméneur, T., É. Hachulla, M Perez-Cousin, et al.. (2005). Diagnostic et surveillance des artérites inflammatoires des gros vaisseaux par les techniques d’imagerie non invasives. Sang thrombose vaisseaux. 17(4). 225–235. 1 indexed citations
8.
Steinling, M, et al.. (2004). Technetium-99m sestamibi brain SPECT in the follow-up of glioma for evaluation of response to chemotherapy: first results. European Journal of Nuclear Medicine and Molecular Imaging. 31(5). 714–719. 14 indexed citations
9.
Steinling, M, et al.. (2001). Is There a Typical Pattern of Brain SPECT Imaging in Alzheimer’s Disease?. Dementia and Geriatric Cognitive Disorders. 12(6). 371–378. 19 indexed citations
10.
Pasquier, Florence, et al.. (1997). The Use of SPECT in a Multidisciplinary Memory Clinic. Dementia and Geriatric Cognitive Disorders. 8(2). 85–91. 28 indexed citations
12.
Caparros-Lefèbvre, D, I. Girard-Buttaz, Florence Lebert, et al.. (1996). Cognitive and psychiatric impairment in herpes simplex virus encephalitis suggest involvement of the amygdalo-frontal pathways. Journal of Neurology. 243(3). 248–256. 37 indexed citations
13.
Lebert, Florence, et al.. (1994). SPECT Data in a Case of Secondary Capgras Delusion. Psychopathology. 27(3-5). 211–214. 17 indexed citations
14.
Rondepierre, Ph., Jacques De Reuck, X. Leclerc, et al.. (1993). Pure sensory stroke revealing a complex malformation of extra- and intracranial cerebral arteries. Clinical Neurology and Neurosurgery. 95(4). 297–302. 2 indexed citations
15.
Scheltens, Philip, Frederik Barkhof, Didier Leys, et al.. (1993). A semiquantative rating scale for the assessment of signal hyperintensities on magnetic resonance imaging. Journal of the Neurological Sciences. 114(1). 7–12. 787 indexed citations breakdown →
16.
Leys, Didier, Jean‐Pierre Pruvo, Patrick Vermersch, et al.. (1991). Could Wallerian degeneration contribute to "leuko-araiosis" in subjects free of any vascular disorder?. Journal of Neurology Neurosurgery & Psychiatry. 54(1). 46–50. 133 indexed citations
17.
Leys, Didier, et al.. (1989). [Alzheimer's disease: study by single photon emission tomography (Hm PAO Tc99m)].. PubMed. 145(6-7). 443–50. 14 indexed citations
18.
Steinling, M, et al.. (1988). Le Delire Des Lieux: Apport De La Debitmetrie Cerebrale. Cortex. 24(2). 329–337. 3 indexed citations
19.
Lefèbvre, Jean Louis, et al.. (1979). Action comparée de la L-dopa et de la bromocriptine sur la T.S.H. au cours de l'hypothyroïdie primitive.. ˜La œNouvelle presse médicale. 8(38). 1 indexed citations
20.
Steinling, M, et al.. (1979). Validité de la scintigraphie précoce au citrate de 67 gallium dans la détection des collections suppurées abdominales.. 24(3). 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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