Suyash Mohan
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
- Genetics top 1%
- Glioma Diagnosis and Treatment
Papers in
- Genetics 46
- Glioma Diagnosis and Treatment 46
-
- Radiomics and Machine Learning in Medical Imaging 20
- MRI in cancer diagnosis 12
- Radiology practices and education 9
- Advanced MRI Techniques and Applications 8
- Co-authors
- Andreas M. Rauschecker (10 shared papers)Jeffrey D. Rudie (11 shared papers)C. C. Tchoyoson Lim (6 shared papers)Amogh N. Hegde (3 shared papers)R. Nick Bryan (10 shared papers)Narayan Lath (1 shared paper)Sanjeev Chawla (33 shared papers)Christos Davatzikos (11 shared papers)
- Journals
- American Journal of Neuroradiology (15 papers)Neuro-Oncology (7 papers)Neuroimaging Clinics of North America (6 papers)Academic Radiology (6 papers)Clinical Radiology (4 papers)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Suyash Mohan
148 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 131
- Health Informatics 176
- Genetics 652
- Radiology, Nuclear Medicine and Imaging 856
- Neurology 438
- Neurology 184
Countries citing papers authored by Suyash Mohan
This map shows the geographic impact of Suyash Mohan'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 Suyash Mohan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suyash Mohan more than expected).
Fields of papers citing papers by Suyash Mohan
This network shows the impact of papers produced by Suyash Mohan. 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 Suyash Mohan. The network helps show where Suyash Mohan may publish in the future.
Co-authors
The 25 scholars most cited alongside Suyash Mohan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 154 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 218 | |
| 2 | 2019 | 163 | |
| 3 | 2019 | 132 | |
| 4 | 2015 | 129 | |
| 5 | 2018 | 104 | |
| 6 | 2020 | 92 | |
| 7 | 2020 | 68 | |
| 8 | 2012 | 63 | |
| 9 | 2011 | 62 | |
| 10 | 2017 | 61 | |
| 11 | 2020 | 59 | |
| 12 | 2021 | 57 | |
| 13 | 2019 | 57 | |
| 14 | 2014 | 52 | |
| 15 | 2016 | 48 | |
| 16 | 2011 | 48 | |
| 17 | 2021 | 45 | |
| 18 | 2017 | 39 | |
| 19 | 2016 | 39 | |
| 20 | 2018 | 37 |
About Suyash Mohan
Suyash Mohan is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging, Neurology, Surgery and Pulmonary and Respiratory Medicine, having authored 154 papers that have together received 2.9k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (46 papers), Radiomics and Machine Learning in Medical Imaging (20 papers), MRI in cancer diagnosis (12 papers), Radiology practices and education (9 papers), Advanced MRI Techniques and Applications (8 papers), Infectious Diseases and Tuberculosis (8 papers), Vascular Malformations Diagnosis and Treatment (7 papers) and Intracranial Aneurysms: Treatment and Complications (6 papers). The work is most often cited by research in Health Informatics (176 citations), Genetics (652 citations), Radiology, Nuclear Medicine and Imaging (856 citations), Neurology (438 citations) and Neurology (184 citations). Suyash Mohan has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Andreas M. Rauschecker, Jeffrey D. Rudie, C. C. Tchoyoson Lim, Amogh N. Hegde, R. Nick Bryan, Narayan Lath, Sanjeev Chawla, Christos Davatzikos, Michael Tran Duong and Steven Brem. Their work appears in journals such as American Journal of Neuroradiology, Neuro-Oncology, Neuroimaging Clinics of North America, Academic Radiology and Clinical Radiology.
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.