Houman Sotoudeh

8.0k total citations
74 papers, 814 citations indexed

About

Houman Sotoudeh is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Epidemiology. According to data from OpenAlex, Houman Sotoudeh has authored 74 papers receiving a total of 814 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Radiology, Nuclear Medicine and Imaging, 27 papers in Neurology and 14 papers in Epidemiology. Recurrent topics in Houman Sotoudeh's work include Radiomics and Machine Learning in Medical Imaging (17 papers), Glioma Diagnosis and Treatment (10 papers) and MRI in cancer diagnosis (9 papers). Houman Sotoudeh is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (17 papers), Glioma Diagnosis and Treatment (10 papers) and MRI in cancer diagnosis (9 papers). Houman Sotoudeh collaborates with scholars based in United States, Iran and United Arab Emirates. Houman Sotoudeh's co-authors include Omid Shafaat, Aparna Singhal, Joshua D. Bernstock, Jonathan McConathy, Galal Elsayed, Amir Hossein Sarrami, Zahra Saadatpour, Amir Shafaat, Manoj Tanwar and Gagandeep Choudhary and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and International Journal of Molecular Sciences.

In The Last Decade

Houman Sotoudeh

67 papers receiving 795 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Houman Sotoudeh United States 17 331 200 189 130 129 74 814
Thomas C. Booth United Kingdom 20 442 1.3× 142 0.7× 109 0.6× 201 1.5× 185 1.4× 70 996
Laurent Létourneau‐Guillon Canada 18 179 0.5× 198 1.0× 166 0.9× 77 0.6× 220 1.7× 54 771
Margaret Pain United States 15 203 0.6× 209 1.0× 276 1.5× 91 0.7× 71 0.6× 31 800
Ryo Kurokawa Japan 15 227 0.7× 207 1.0× 70 0.4× 137 1.1× 100 0.8× 124 829
Christian F. Freyschlag Austria 16 196 0.6× 211 1.1× 223 1.2× 389 3.0× 223 1.7× 95 882
Inpyeong Hwang South Korea 17 511 1.5× 114 0.6× 142 0.8× 114 0.9× 204 1.6× 64 938
Cornelius Deuschl Germany 19 331 1.0× 437 2.2× 253 1.3× 204 1.6× 196 1.5× 112 1.1k
Jared Pisapia United States 16 369 1.1× 166 0.8× 83 0.4× 278 2.1× 70 0.5× 31 882
Jonathan D Suever United States 18 406 1.2× 164 0.8× 234 1.2× 54 0.4× 116 0.9× 42 1.4k
Saksham Gupta United States 15 92 0.3× 160 0.8× 211 1.1× 208 1.6× 109 0.8× 73 727

Countries citing papers authored by Houman Sotoudeh

Since Specialization
Citations

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

Fields of papers citing papers by Houman Sotoudeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Houman Sotoudeh

This figure shows the co-authorship network connecting the top 25 collaborators of Houman Sotoudeh. A scholar is included among the top collaborators of Houman Sotoudeh 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 Houman Sotoudeh. Houman Sotoudeh 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.
Ghadimi, Delaram J., et al.. (2025). MRI-derived radiomics models for prediction of Ki-67 index status in meningioma: a systematic review and meta-analysis. Clinical Imaging. 120. 110436–110436. 1 indexed citations
2.
Shahidi, Ramin, Michail E. Klontzas, Weelic Chong, et al.. (2024). Diagnostic performance of radiomics in prediction of Ki-67 index status in non-small cell lung cancer: A systematic review and meta-analysis. Journal of medical imaging and radiation sciences. 55(4). 101746–101746. 5 indexed citations
3.
Makras, Polyzois, Dana Erickson, Caroline Davidge‐Pitts, et al.. (2024). Approach to the Patient: From Endocrinopathy to the Diagnosis of a Histiocytic Disorder. The Journal of Clinical Endocrinology & Metabolism. 110(6). 1756–1766. 3 indexed citations
4.
Bouaynaya, Nidhal, Fanny Morón, Jinsuh Kim, et al.. (2024). Robust AI-Driven Segmentation of Glioblastoma T1c and FLAIR MRI Series and the Low Variability of the MRIMath© Smart Manual Contouring Platform. Diagnostics. 14(11). 1066–1066.
5.
Seyedmirzaei, Homa, et al.. (2024). Microstructural correlates of olfactory dysfunction in Parkinson’s Disease: a systematic review of diffusion MRI studies. Brain Imaging and Behavior. 19(1). 240–252.
6.
7.
Sotoudeh, Houman, Ramin Shahidi, Parnian Shobeiri, et al.. (2024). Imaging spectrum of amyloid-related imaging abnormalities associated with aducanumab immunotherapy. SHILAP Revista de lepidopterología. 3. 1305390–1305390. 2 indexed citations
8.
Sotoudeh, Houman, et al.. (2023). Acute Necrotizing Encephalopathy in Adult Patients With COVID-19: A Systematic Review of Case Reports and Case Series. Journal of Clinical Neurology. 19(6). 597–597. 3 indexed citations
9.
Shobeiri, Parnian, Maryam Haghshomar, Shaghayegh Khanmohammadi, et al.. (2023). Cerebellar Microstructural Abnormalities in Obsessive–Compulsive Disorder (OCD): a Systematic Review of Diffusion Tensor Imaging Studies. The Cerebellum. 23(2). 778–801. 4 indexed citations
10.
Raman, Fabio, Sejong Bae, Jinsuh Kim, et al.. (2023). Evaluation of RANO Criteria for the Assessment of Tumor Progression for Lower-Grade Gliomas. Cancers. 15(13). 3274–3274. 8 indexed citations
11.
Sotoudeh, Houman, et al.. (2023). Radiomics Outperforms Clinical and Radiologic Signs in Predicting Spontaneous Basal Ganglia Hematoma Expansion: A Pilot Study. Cureus. 15(4). e37162–e37162. 3 indexed citations
12.
Jenab, Yaser, et al.. (2023). Prediction of in-hospital adverse clinical outcomes in patients with pulmonary thromboembolism, machine learning based models. Frontiers in Cardiovascular Medicine. 10. 1087702–1087702. 4 indexed citations
13.
Sotoudeh, Houman, et al.. (2022). Radiomics for differentiation of the posterior fossa pilocytic astrocytoma versus hemangioblastomas in adults. A pilot study. Clinical Imaging. 93. 26–30. 2 indexed citations
14.
Shafaat, Omid, et al.. (2020). Heavily calcified parapharyngeal space mesenchymal chondrosarcoma: Imaging and pathological findings and a review of the literature. The Neuroradiology Journal. 34(1). 45–48. 2 indexed citations
15.
Shafaat, Omid, Houman Sotoudeh, Alireza Zandifar, et al.. (2020). Critical illness-associated cerebral microbleed in a patient with sickle cell disease: A case report and review of the literature. Clinical Imaging. 68. 184–187. 4 indexed citations
16.
Sotoudeh, Houman, et al.. (2019). Superior ophthalmic vein thrombosis: What radiologist and clinician must know?. European Journal of Radiology Open. 6. 258–264. 36 indexed citations
17.
18.
Mohammadzadeh, Vahid, et al.. (2016). Pretreatment Evaluation of Glioma. Neuroimaging Clinics of North America. 26(4). 567–580. 7 indexed citations
19.
Valizadeh, Neda, et al.. (2013). Relationship between continuous use of low-dose enteric-coated aspirin and gastrointestinal injuries in patients with gastrointestinal hemorrhage. The Turkish Journal of Gastroenterology. 24(2). 93–98. 1 indexed citations
20.
Sotoudeh, Houman, et al.. (2006). Assessment of Normal Doppler Parameters of Portal Vein and Hepatic Artery in 37 Healthy Iranian Volunteers. Iranian Journal of Radiology. 3(4). 213–216. 14 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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