Mariam Aboian

3.2k total citations · 1 hit paper
79 papers, 1.4k citations indexed

About

Mariam Aboian is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Mariam Aboian has authored 79 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Radiology, Nuclear Medicine and Imaging, 29 papers in Genetics and 14 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Mariam Aboian's work include Glioma Diagnosis and Treatment (29 papers), Radiomics and Machine Learning in Medical Imaging (29 papers) and Brain Tumor Detection and Classification (14 papers). Mariam Aboian is often cited by papers focused on Glioma Diagnosis and Treatment (29 papers), Radiomics and Machine Learning in Medical Imaging (29 papers) and Brain Tumor Detection and Classification (14 papers). Mariam Aboian collaborates with scholars based in United States, Germany and China. Mariam Aboian's co-authors include Soonmee Cha, Sabine Mueller, Randall A. Hawkins, Seyedmehdi Payabvash, David A. Solomon, Shih-Ying Huang, Youngho Seo, Erin Felton, Miguel Hernandez Pampaloni and Timothy P. Copeland and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Mariam Aboian

70 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using ¹⁸F-FDG PET of the Brain

2018 379 citations Mariam Aboian et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mariam Aboian United States	18	476	476	266	233	183	79	1.4k
Ian D. Connolly United States	22	416 0.9×	248 0.5×	501 1.9×	240 1.0×	201 1.1×	48	1.9k
Daoying Geng China	23	548 1.2×	844 1.8×	130 0.5×	450 1.9×	257 1.4×	142	1.8k
Phedias Diamandis Canada	22	295 0.6×	320 0.7×	571 2.1×	158 0.7×	137 0.7×	60	1.6k
Leland Hu United States	17	1.2k 2.5×	974 2.0×	276 1.0×	182 0.8×	234 1.3×	61	1.9k
Marc C. Mabray United States	14	430 0.9×	420 0.9×	82 0.3×	265 1.1×	115 0.6×	33	1.1k
Arne Fischmann Switzerland	21	341 0.7×	233 0.5×	812 3.1×	174 0.7×	136 0.7×	49	1.8k
Yae Won Park South Korea	27	735 1.5×	977 2.1×	83 0.3×	290 1.2×	333 1.8×	97	1.7k
Stéphan Saïkali France	23	769 1.6×	196 0.4×	701 2.6×	273 1.2×	260 1.4×	61	1.9k
Marco Rossi Italy	25	634 1.3×	493 1.0×	192 0.7×	168 0.7×	227 1.2×	75	1.7k
Pascal O. Zinn United States	29	1.0k 2.2×	1.1k 2.2×	679 2.6×	172 0.7×	394 2.2×	111	2.6k

Countries citing papers authored by Mariam Aboian

Since Specialization

Citations

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

Fields of papers citing papers by Mariam Aboian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariam Aboian

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

All Works

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20 of 20 papers shown

Zeevi, Tal, et al.. (2025). Image-Based Search in Radiology: Identification of Brain Tumor Subtypes within Databases Using MRI-Based Radiomic Features. American Journal of Neuroradiology. 46(7). 1421–1428.

Brüningk, Sarah C., Sanjay Aneja, Anahita Fathi Kazerooni, et al.. (2024). Comparison of Volumetric and 2D Measurements and Longitudinal Trajectories in the Response Assessment ofBRAFV600E-Mutant Pediatric Gliomas in the Pacific Pediatric Neuro-Oncology Consortium Clinical Trial. American Journal of Neuroradiology. 45(4). 475–482. 1 indexed citations

Murugesan, Gowtham Krishnan, Mariam Aboian, Keyvan Farahani, et al.. (2024). AI-Generated Annotations Dataset for Diverse Cancer Radiology Collections in NCI Image Data Commons. Scientific Data. 11(1). 1165–1165. 2 indexed citations

Weiss, David, Thomas Hager, Mariam Aboian, et al.. (2024). Acceleration of Volumetric Abdominal Aortic Aneurysm Measurements by Leveraging Artificial Intelligence. Journal of Vascular Surgery. 80(3). e37–e38.

Mahajan, Amit, Sarah A. Weiss, Thuy Tran, et al.. (2024). Patterns of brain metastases response to immunotherapy with pembrolizumab. Journal of Neuro-Oncology. 169(3). 555–561. 3 indexed citations

Haider, Stefan P., Tal Zeevi, Kariem Sharaf, et al.. (2024). Impact of¹⁸F-FDG PET Intensity Normalization on Radiomic Features of Oropharyngeal Squamous Cell Carcinomas and Machine Learning–Generated Biomarkers. Journal of Nuclear Medicine. 65(5). 803–809. 3 indexed citations

Aboian, Mariam, et al.. (2023). NIMG-59. RADIOMIC FEATURE CLUSTER ANALYSIS OF IDH-MUTANT GLIOMA SUBTYPES. Neuro-Oncology. 25(Supplement_5). v199–v199. 1 indexed citations

Aboian, Mariam, et al.. (2023). 3D Capsule Networks for Brain Image Segmentation. American Journal of Neuroradiology. 44(5). 562–568. 9 indexed citations

Mueller, Sabine, Sanjay Aneja, Ali Nabavizadeh, et al.. (2023). Evolution and implementation of radiographic response criteria in neuro-oncology. Neuro-Oncology Advances. 5(1). vdad118–vdad118. 8 indexed citations

10.

Lin, MingDe, et al.. (2023). Comparing 3D, 2.5D, and 2D Approaches to Brain Image Auto-Segmentation. Bioengineering. 10(2). 181–181. 49 indexed citations

11.

Haas‐Kogan, Daphne A., Mariam Aboian, Jane E. Minturn, et al.. (2023). Everolimus for Children With Recurrent or Progressive Low-Grade Glioma: Results From the Phase II PNOC001 Trial. Journal of Clinical Oncology. 42(4). 441–451. 11 indexed citations

12.

Aboian, Mariam, et al.. (2023). PET/MRI Applications in Pediatric Epilepsy. World Journal of Nuclear Medicine. 22(2). 78–86. 2 indexed citations

13.

Li, Ziqi, Samantha Katz, Mariam Aboian, et al.. (2023). ImmunoPET Imaging Identifies the Optimal Timepoint for Combination Therapy in Xenograft Models of Triple-Negative Breast Cancer. Cancers. 15(5). 1589–1589. 2 indexed citations

14.

Zeevi, Tal, MingDe Lin, Ichiro Ikuta, et al.. (2022). Machine Learning Tools for Image-Based Glioma Grading and the Quality of Their Reporting: Challenges and Opportunities. Cancers. 14(11). 2623–2623. 9 indexed citations

15.

Aboian, Mariam, et al.. (2022). PET/MRI in Pediatric Neuroimaging: Primer for Clinical Practice. American Journal of Neuroradiology. 43(7). 938–943. 7 indexed citations

16.

Roytman, Michelle, et al.. (2022). Brain PET Imaging. PET Clinics. 18(1). 103–113. 2 indexed citations

17.

Payabvash, Seyedmehdi, Mariam Aboian, Tarık Tihan, & Soonmee Cha. (2020). Machine Learning Decision Tree Models for Differentiation of Posterior Fossa Tumors Using Diffusion Histogram Analysis and Structural MRI Findings. Frontiers in Oncology. 10. 71–71. 29 indexed citations

18.

Panditharatna, Eshini, Lindsay Kilburn, Mariam Aboian, et al.. (2018). Clinically Relevant and Minimally Invasive Tumor Surveillance of Pediatric Diffuse Midline Gliomas Using Patient-Derived Liquid Biopsy. Clinical Cancer Research. 24(23). 5850–5859. 123 indexed citations

19.

Aboian, Mariam, David A. Solomon, Erin Felton, et al.. (2017). Imaging Characteristics of Pediatric Diffuse Midline Gliomas with Histone H3 K27M Mutation. American Journal of Neuroradiology. 38(4). 795–800. 123 indexed citations

20.

Oestreich, Andrea J., Mariam Aboian, Jacqueline Lee, et al.. (2006). Characterization of Multiple Multivesicular Body Sorting Determinants within Sna3: A Role for the Ubiquitin Ligase Rsp5. Molecular Biology of the Cell. 18(2). 707–720. 58 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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