Suzanne Tran
Impact in
- Genetics top 10%
- Glioma Diagnosis and Treatment
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- Neurofibromatosis and Schwannoma Cases
- Neuroblastoma Research and Treatments
Papers in
- Genetics 11
- Glioma Diagnosis and Treatment 11
-
- Neurofibromatosis and Schwannoma Cases 5
- Co-authors
- Franck Bielle (16 shared papers)Karima Mokhtari (6 shared papers)Ahmed Idbaih (6 shared papers)Mehdi Touat (6 shared papers)Khe Hoang Xuan (5 shared papers)Laurent Capelle (3 shared papers)Marc Sanson (3 shared papers)Matthieu Peyre (9 shared papers)
- Journals
- Neuropathology and Applied Neurobiology (3 papers)Neurosurgery (2 papers)Journal of Neuro-Oncology (2 papers)Acta Neurochirurgica (2 papers)Journal of neurosurgery (1 paper)
- Partner nations
- FranceGermanyUnited States
In The Last Decade
Suzanne Tran
28 papers receiving 276 citations
Peers
Comparison fields: 5 of 51
- Genetics 127
- Neurology 50
- Pulmonary and Respiratory Medicine 59
- Cancer Research 26
- Rheumatology 20
Countries citing papers authored by Suzanne Tran
This map shows the geographic impact of Suzanne Tran'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 Suzanne Tran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzanne Tran more than expected).
Fields of papers citing papers by Suzanne Tran
This network shows the impact of papers produced by Suzanne Tran. 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 Suzanne Tran. The network helps show where Suzanne Tran may publish in the future.
Co-authors
The 25 scholars most cited alongside Suzanne Tran, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 43 | |
| 2 | 2018 | 41 | |
| 3 | 2000 | 20 | |
| 4 | 2022 | 19 | |
| 5 | 2024 | 18 | |
| 6 | 2021 | 16 | |
| 7 | 2023 | 14 | |
| 8 | 2022 | 14 | |
| 9 | 2022 | 13 | |
| 10 | 2020 | 11 | |
| 11 | 1999 | 9 | |
| 12 | 2024 | 9 | |
| 13 | 2021 | 8 | |
| 14 | 2022 | 7 | |
| 15 | 2021 | 7 | |
| 16 | 2020 | 6 | |
| 17 | 2023 | 6 | |
| 18 | 2025 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2023 | 2 |
About Suzanne Tran
Suzanne Tran is a scholar working on Genetics, Neurology, Epidemiology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 28 papers that have together received 281 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (11 papers), Meningioma and schwannoma management (6 papers), Neurofibromatosis and Schwannoma Cases (5 papers), Brain Metastases and Treatment (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), High-pressure geophysics and materials (1 paper), Fungal Infections and Studies (1 paper) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Genetics (127 citations), Neurology (50 citations), Pulmonary and Respiratory Medicine (59 citations), Cancer Research (26 citations) and Rheumatology (20 citations). Suzanne Tran has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Franck Bielle, Karima Mokhtari, Ahmed Idbaih, Mehdi Touat, Khe Hoang Xuan, Laurent Capelle, Marc Sanson, Matthieu Peyre, J. -Y. Delattre and Arnault Tauziède‐Espariat. Their work appears in journals such as Neuropathology and Applied Neurobiology, Neurosurgery, Journal of Neuro-Oncology, Acta Neurochirurgica and Journal of neurosurgery.
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.