Audrey Tran
Impact in
Papers in
- Surgery 4
-
- Neuroscience and Neural Engineering 2
- Co-authors
- Vinay Prasad (5 shared papers)Emerson Y. Chen (1 shared paper)Sunil K. Joshi (1 shared paper)Michael Boyer (1 shared paper)Christopher R. Arumainayagam (1 shared paper)Thorsten M. Schlaeger (2 shared papers)Manav Gupta (1 shared paper)Jeremy M. Hoffmann (1 shared paper)
- Journals
- Molecular Therapy (1 paper)International Journal of Radiation Oncology*Biology*Physics (1 paper)BMJ Open (1 paper)Behavioural Brain Research (1 paper)Surface Science (1 paper)
- Partner nations
- United StatesTaiwanFrance
In The Last Decade
Audrey Tran
14 papers receiving 436 citations
Peers
Comparison fields: 5 of 80
- Aging 7
- Business and International Management 7
- Statistics and Probability 28
- Cellular and Molecular Neuroscience 61
- Molecular Biology 210
Countries citing papers authored by Audrey Tran
This map shows the geographic impact of Audrey 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 Audrey Tran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Audrey Tran more than expected).
Fields of papers citing papers by Audrey Tran
This network shows the impact of papers produced by Audrey 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 Audrey Tran. The network helps show where Audrey Tran may publish in the future.
Co-authors
The 25 scholars most cited alongside Audrey 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
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 117 | |
| 2 | 2019 | 95 | |
| 3 | 2019 | 75 | |
| 4 | 2016 | 74 | |
| 5 | 1996 | 27 | |
| 6 | 2020 | 23 | |
| 7 | 2020 | 8 | |
| 8 | 2020 | 8 | |
| 9 | 2020 | 7 | |
| 10 | 2021 | 5 | |
| 11 | 2020 | 4 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2023 | 1 |
About Audrey Tran
Audrey Tran is a scholar working on Surgery, Cellular and Molecular Neuroscience, Public Health, Environmental and Occupational Health, Cancer Research and Molecular Biology, having authored 14 papers that have together received 446 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (2 papers), Statistical Methods in Clinical Trials (2 papers), Cancer Genomics and Diagnostics (2 papers), Retinal Development and Disorders (2 papers), Colorectal Cancer Treatments and Studies (1 paper), Advanced Chemical Physics Studies (1 paper), Telemedicine and Telehealth Implementation (1 paper) and Dysphagia Assessment and Management (1 paper). The work is most often cited by research in Aging (7 citations), Business and International Management (7 citations), Statistics and Probability (28 citations), Cellular and Molecular Neuroscience (61 citations) and Molecular Biology (210 citations). Audrey Tran has collaborated with scholars based in United States, Taiwan and France. Frequent co-authors include Vinay Prasad, Emerson Y. Chen, Sunil K. Joshi, Michael Boyer, Christopher R. Arumainayagam, Thorsten M. Schlaeger, Manav Gupta, Jeremy M. Hoffmann, Kristin R. Anfinson and Malavika K. Adur. Their work appears in journals such as Molecular Therapy, International Journal of Radiation Oncology*Biology*Physics, BMJ Open, Behavioural Brain Research and Surface Science.
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.