Duy Tran
Impact in
- Cell Biology top 5%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
- Immunology top 10%
- Galectins and Cancer Biology
- Invertebrate Immune Response Mechanisms
Papers in
-
- Glycosylation and Glycoproteins Research 9
- Ubiquitin and proteasome pathways 3
-
- Cellular transport and secretion 6
- Cellular Mechanics and Interactions 3
- Co-authors
- Kelly G. Ten Hagen (12 shared papers)Andrius Masedunskas (2 shared papers)Roberto Weigert (2 shared papers)Peyman Golshani (4 shared papers)Zhenyu Zhang (1 shared paper)David Stein (1 shared paper)Thomas Gerken (1 shared paper)Lawrence A. Tabak (4 shared papers)
- Journals
- Journal of Biological Chemistry (8 papers)Nature Communications (4 papers)PLoS ONE (2 papers)Cell Reports (1 paper)Journal of Cell Science (1 paper)
- Partner nations
- United StatesHungaryAustralia
In The Last Decade
Duy Tran
24 papers receiving 918 citations
Peers
Comparison fields: 5 of 84
- Cell Biology 205
- Immunology 242
- Molecular Biology 598
- Cellular and Molecular Neuroscience 132
- Organic Chemistry 169
Countries citing papers authored by Duy Tran
This map shows the geographic impact of Duy 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 Duy Tran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duy Tran more than expected).
Fields of papers citing papers by Duy Tran
This network shows the impact of papers produced by Duy 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 Duy Tran. The network helps show where Duy Tran may publish in the future.
Co-authors
The 25 scholars most cited alongside Duy 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 216 | |
| 2 | 2002 | 76 | |
| 3 | 2019 | 72 | |
| 4 | 2015 | 71 | |
| 5 | 2003 | 66 | |
| 6 | 1999 | 50 | |
| 7 | 2010 | 44 | |
| 8 | 2011 | 43 | |
| 9 | 2017 | 40 | |
| 10 | 2017 | 40 | |
| 11 | 2019 | 40 | |
| 12 | 2018 | 33 | |
| 13 | 2017 | 24 | |
| 14 | 2018 | 22 | |
| 15 | 2012 | 19 | |
| 16 | 2018 | 15 | |
| 17 | 2017 | 12 | |
| 18 | 2022 | 9 | |
| 19 | 2024 | 6 | |
| 20 | 2017 | 5 |
About Duy Tran
Duy Tran is a scholar working on Molecular Biology, Cell Biology, Immunology, Cognitive Neuroscience and Physiology, having authored 25 papers that have together received 920 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (9 papers), Cellular transport and secretion (6 papers), Galectins and Cancer Biology (4 papers), Neural dynamics and brain function (4 papers), Ubiquitin and proteasome pathways (3 papers), Cellular Mechanics and Interactions (3 papers), Invertebrate Immune Response Mechanisms (3 papers) and Lysosomal Storage Disorders Research (3 papers). The work is most often cited by research in Cell Biology (205 citations), Immunology (242 citations), Molecular Biology (598 citations), Cellular and Molecular Neuroscience (132 citations) and Organic Chemistry (169 citations). Duy Tran has collaborated with scholars based in United States, Hungary and Australia. Frequent co-authors include Kelly G. Ten Hagen, Andrius Masedunskas, Roberto Weigert, Peyman Golshani, Zhenyu Zhang, David Stein, Thomas Gerken, Lawrence A. Tabak, Michael Einstein and Pierre‐Olivier Polack. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications, PLoS ONE, Cell Reports and Journal of Cell 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.