Mickaël Ohana

10.1k total citations · 3 hit papers
111 papers, 5.7k citations indexed

About

Mickaël Ohana is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Mickaël Ohana has authored 111 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Radiology, Nuclear Medicine and Imaging, 30 papers in Pulmonary and Respiratory Medicine and 29 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Mickaël Ohana's work include COVID-19 Clinical Research Studies (19 papers), Cardiac Imaging and Diagnostics (18 papers) and Radiation Dose and Imaging (18 papers). Mickaël Ohana is often cited by papers focused on COVID-19 Clinical Research Studies (19 papers), Cardiac Imaging and Diagnostics (18 papers) and Radiation Dose and Imaging (18 papers). Mickaël Ohana collaborates with scholars based in France, Canada and United States. Mickaël Ohana's co-authors include Julie Helms, Ferhat Meziani, Samira Fafi‐Kremer, Hamid Merdji, M. Schenck, Raphaël Clère-Jehl, Stéphane Kremer, Mathieu Anheim, François Séverac and Clotilde Boulay and has published in prestigious journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Mickaël Ohana

99 papers receiving 5.5k citations

Hit Papers

High risk of thrombosis i... 2020 2026 2022 2024 2020 2020 2020 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mickaël Ohana France 22 3.3k 2.8k 982 910 705 111 5.7k
François Séverac France 20 2.0k 0.6× 1.3k 0.5× 829 0.8× 721 0.8× 184 0.3× 102 3.7k
Hamid Merdji France 16 2.7k 0.8× 2.5k 0.9× 651 0.7× 562 0.6× 99 0.1× 52 4.4k
Raphaël Clère-Jehl France 13 2.6k 0.8× 2.3k 0.8× 684 0.7× 558 0.6× 90 0.1× 34 4.1k
M. Schenck France 6 2.6k 0.8× 2.5k 0.9× 618 0.6× 534 0.6× 91 0.1× 9 3.9k
Jennifer Frontera United States 42 985 0.3× 4.9k 1.7× 209 0.2× 456 0.5× 140 0.2× 152 7.4k
Shadi Yaghi United States 40 837 0.3× 2.4k 0.9× 287 0.3× 1.0k 1.1× 506 0.7× 273 6.0k
Riccardo Colombo Italy 23 847 0.3× 585 0.2× 321 0.3× 124 0.1× 114 0.2× 114 2.7k
Luigi Beretta Italy 30 314 0.1× 935 0.3× 576 0.6× 89 0.1× 123 0.2× 127 3.9k
Babak B. Navi United States 40 192 0.1× 1.8k 0.6× 331 0.3× 1.2k 1.4× 463 0.7× 207 5.6k
Arjun Nair United Kingdom 29 369 0.1× 541 0.2× 163 0.2× 64 0.1× 701 1.0× 114 3.0k

Countries citing papers authored by Mickaël Ohana

Since Specialization
Citations

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

Fields of papers citing papers by Mickaël Ohana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mickaël Ohana

This figure shows the co-authorship network connecting the top 25 collaborators of Mickaël Ohana. A scholar is included among the top collaborators of Mickaël Ohana 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 Mickaël Ohana. Mickaël Ohana 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.
Higaki, Toru, et al.. (2024). Super resolution deep learning reconstruction for coronary CT angiography: A structured phantom study. European Journal of Radiology Open. 12. 100570–100570. 5 indexed citations
2.
Trimaille, Antonin, Adrien Carmona, Kensuke Matsushita, et al.. (2024). Protruding and Ulcerated Aortic Atheromas as Predictors of Periprocedural Ischemic Stroke Post-Transcatheter Aortic Valve Replacement. JACC Asia. 5(2). 258–269. 2 indexed citations
3.
Ohana, Mickaël, François Séverac, Pierrick Le Borgne, et al.. (2024). Diagnostic performance of coronary calcifications on CT to rule out acute coronary syndrome in the emergency department. BMC Emergency Medicine. 24(1). 116–116.
4.
5.
Ohana, Mickaël, et al.. (2023). Skeletal and Cardiac Muscle Hydroxychloroquine Toxicity. The Journal of Rheumatology. 51(2). 207–207.
6.
Ohana, Mickaël, et al.. (2023). Impact of a reduced iodine load with deep learning reconstruction on abdominal MDCT. Medicine. 102(35). e34579–e34579. 2 indexed citations
7.
Matsushita, Kensuke, Benjamin Marchandot, Marion Kibler, et al.. (2022). P2Y12 inhibition by clopidogrel increases adverse clinical events after transcatheter aortic valve replacement. International Journal of Cardiology. 360. 53–61. 1 indexed citations
8.
Ohana, Mickaël, Hugues Talbot, T. Caramella, et al.. (2021). Automatic coronary artery calcium scoring from unenhanced-ECG-gated CT using deep learning. Diagnostic and Interventional Imaging. 102(11). 683–690. 34 indexed citations
9.
Trimaille, Antonin, Anaïs Curtiaud, Benjamin Marchandot, et al.. (2021). Venous thromboembolism in non-critically ill patients with COVID-19 infection. Archives of Cardiovascular Diseases Supplements. 13(1). 103–104. 6 indexed citations
10.
Trimaille, Antonin, Jecko Thachil, Benjamin Marchandot, et al.. (2020). D-Dimers Level as a Possible Marker of Extravascular Fibrinolysis in COVID-19 Patients. Journal of Clinical Medicine. 10(1). 39–39. 19 indexed citations
11.
Suh, Young Joo, Hyunsook Hong, Mickaël Ohana, et al.. (2020). Pulmonary Embolism and Deep Vein Thrombosis in COVID-19: A Systematic Review and Meta-Analysis. Radiology. 298(2). E70–E80. 277 indexed citations
12.
Collange, Olivier, Charles Tacquard, Xavier Delabranche, et al.. (2020). Coronavirus Disease 2019: Associated Multiple Organ Damage. Open Forum Infectious Diseases. 7(7). ofaa249–ofaa249. 23 indexed citations
13.
Kuntz, Salomé, Hiroyuki Jinnouchi, Matthew Kutyna, et al.. (2020). Co-Registration of Peripheral Atherosclerotic Plaques Assessed by Conventional CT Angiography, MicroCT and Histology in Patients with Chronic Limb Threatening Ischaemia. European Journal of Vascular and Endovascular Surgery. 61(1). 146–154. 9 indexed citations
14.
Mooney, John, Stephanie Sellers, Mickaël Ohana, et al.. (2017). Imaging for structural heart procedures: focus on computed tomography. EuroIntervention. 13(AA). AA85–AA96. 5 indexed citations
15.
Georg, Yannick, et al.. (2016). Unusual aortic collapse in acute mesenteric ischemia. Journal of Vascular Surgery. 63(3). 823–824.
17.
Anderson, J., Christof Karmonik, Yannick Georg, et al.. (2014). A Semi-automated image segmentation approach for computational fluid dynamics studies of aortic dissection. PubMed. 2014. 4727–4730. 2 indexed citations
18.
Ohana, Mickaël, Mi‐Young Jeung, Aïssam Labani, Soraya El Ghannudi, & Catherine Roy. (2014). Scanographie double énergie en pathologie thoracique : protocoles d’exploration, applications actuelles et développements. 95(11). 1007–1016. 1 indexed citations
19.
Ohana, Mickaël, et al.. (2014). Cerebral staging of lung cancer: is one single contrast-enhanced T1-weighted three-dimensional gradient-echo sequence sufficient?. Neuroradiology. 56(8). 621–627. 1 indexed citations
20.
Molière, Sébastien, et al.. (2013). Unilateral renal cortical necrosis: Report of a case. Diagnostic and Interventional Imaging. 94(4). 463–465. 2 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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