Stephen Tran
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
-
- RNA regulation and disease
- RNA Research and Splicing
- RNA modifications and cancer
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- RNA and protein synthesis mechanisms
Papers in
-
- RNA regulation and disease 4
- RNA Research and Splicing 3
- Epigenetics and DNA Methylation 2
- CRISPR and Genetic Engineering 2
- RNA and protein synthesis mechanisms 2
-
- Legume Nitrogen Fixing Symbiosis 2
- Co-authors
- Xinshu Xiao (6 shared papers)Jae Hoon Bahn (3 shared papers)Daniel H. Geschwind (2 shared papers)Ei-Wen Yang (2 shared papers)Giovanni Quinones-Valdez (2 shared papers)Steve Horvath (1 shared paper)John R. Huguenard (1 shared paper)Taiho Park (1 shared paper)
- Journals
- Nature Neuroscience (2 papers)Bioinformatics (1 paper)Nature Communications (1 paper)Cell Genomics (1 paper)Frontiers in Plant Science (1 paper)
- Partner nations
- United StatesGermanyBulgaria
In The Last Decade
Stephen Tran
10 papers receiving 800 citations
Stephen Tran's Hit Papers
Peers
Comparison fields: 5 of 75
- Developmental Neuroscience 70
- Molecular Biology 642
- Aging 12
- Genetics 117
- Cancer Research 58
Countries citing papers authored by Stephen Tran
This map shows the geographic impact of Stephen 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 Stephen Tran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Tran more than expected).
Fields of papers citing papers by Stephen Tran
This network shows the impact of papers produced by Stephen 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 Stephen Tran. The network helps show where Stephen Tran may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen 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 | Long-term maturation of human cortical organoids matches key early postnatal transitions Hit paper breakdown → | 2021 | 240 |
| 2 | 2018 | 143 | |
| 3 | 2018 | 110 | |
| 4 | 2019 | 104 | |
| 5 | 2015 | 81 | |
| 6 | 2018 | 62 | |
| 7 | 2015 | 27 | |
| 8 | 2020 | 22 | |
| 9 | 2013 | 17 | |
| 10 | Pharmacological studies using human voltage-dependent calcium channels | 1997 | 1 |
| 11 | 2026 | 0 |
About Stephen Tran
Stephen Tran is a scholar working on Molecular Biology, Plant Science, Cognitive Neuroscience, Genetics and Biomedical Engineering, having authored 11 papers that have together received 807 indexed citations. Recurring topics across this work include RNA regulation and disease (4 papers), RNA Research and Splicing (3 papers), Epigenetics and DNA Methylation (2 papers), Legume Nitrogen Fixing Symbiosis (2 papers), CRISPR and Genetic Engineering (2 papers), RNA and protein synthesis mechanisms (2 papers), Autism Spectrum Disorder Research (1 paper) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Developmental Neuroscience (70 citations), Molecular Biology (642 citations), Aging (12 citations), Genetics (117 citations) and Cancer Research (58 citations). Stephen Tran has collaborated with scholars based in United States, Germany and Bulgaria. Frequent co-authors include Xinshu Xiao, Jae Hoon Bahn, Daniel H. Geschwind, Ei-Wen Yang, Giovanni Quinones-Valdez, Steve Horvath, John R. Huguenard, Taiho Park, Aaron Gordon and Se‐Jin Yoon. Their work appears in journals such as Nature Neuroscience, Bioinformatics, Nature Communications, Cell Genomics and Frontiers in Plant 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.