Mana Moassefi
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- Tryptophan and brain disorders
Papers in
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- Artificial Intelligence in Healthcare and Education 6
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- Radiomics and Machine Learning in Medical Imaging 4
- Co-authors
- Shahriar Faghani (14 shared papers)Amir Valizadeh (5 shared papers)Amin Nakhostin-Ansari (2 shared papers)Reyhaneh Aghajani (2 shared papers)Zahra Ghorbani (1 shared paper)Bradley J. Erickson (9 shared papers)Bardia Khosravi (5 shared papers)Pouria Rouzrokh (3 shared papers)
- Journals
- Radiology Artificial Intelligence (2 papers)American Journal of Neuroradiology (2 papers)BMC Medical Research Methodology (1 paper)Abdominal Radiology (1 paper)Psychoneuroendocrinology (1 paper)
- Partner nations
- United StatesIranGermany
In The Last Decade
Mana Moassefi
17 papers receiving 201 citations
Peers
Comparison fields: 5 of 95
- Health Informatics 15
- Biological Psychiatry 7
- Neurology 14
- Radiology, Nuclear Medicine and Imaging 31
- Behavioral Neuroscience 5
Countries citing papers authored by Mana Moassefi
This map shows the geographic impact of Mana Moassefi'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 Mana Moassefi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mana Moassefi more than expected).
Fields of papers citing papers by Mana Moassefi
This network shows the impact of papers produced by Mana Moassefi. 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 Mana Moassefi. The network helps show where Mana Moassefi may publish in the future.
Co-authors
The 25 scholars most cited alongside Mana Moassefi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 76 | |
| 2 | 2023 | 39 | |
| 3 | 2021 | 18 | |
| 4 | 2021 | 17 | |
| 5 | 2023 | 16 | |
| 6 | 2024 | 10 | |
| 7 | 2022 | 6 | |
| 8 | 2025 | 4 | |
| 9 | 2024 | 4 | |
| 10 | 2024 | 3 | |
| 11 | 2024 | 3 | |
| 12 | 2025 | 2 | |
| 13 | 2025 | 2 | |
| 14 | 2025 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2026 | 1 | |
| 17 | 2021 | 1 | |
| 18 | 2024 | 0 | |
| 19 | 2025 | 0 |
About Mana Moassefi
Mana Moassefi is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Social Psychology and Biological Psychiatry, having authored 19 papers that have together received 205 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Tryptophan and brain disorders (2 papers), Multiple Sclerosis Research Studies (2 papers), Stress Responses and Cortisol (2 papers), Autism Spectrum Disorder Research (1 paper), Endometriosis Research and Treatment (1 paper) and Artificial Intelligence in Healthcare (1 paper). The work is most often cited by research in Health Informatics (15 citations), Biological Psychiatry (7 citations), Neurology (14 citations), Radiology, Nuclear Medicine and Imaging (31 citations) and Behavioral Neuroscience (5 citations). Mana Moassefi has collaborated with scholars based in United States, Iran and Germany. Frequent co-authors include Shahriar Faghani, Amir Valizadeh, Amin Nakhostin-Ansari, Reyhaneh Aghajani, Zahra Ghorbani, Bradley J. Erickson, Bardia Khosravi, Pouria Rouzrokh, Francis Baffour and Michael D. Ringler. Their work appears in journals such as Radiology Artificial Intelligence, American Journal of Neuroradiology, BMC Medical Research Methodology, Abdominal Radiology and Psychoneuroendocrinology.
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.