Duy Tran
Impact in
- Cell Biology top 10%
- 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)Ping Zhang (4 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)
- Journals
- Journal of Biological Chemistry (8 papers)Nature Communications (4 papers)PLoS ONE (2 papers)The Journal of Cell Biology (1 paper)Biological Psychiatry (1 paper)
- Partner nations
- United StatesHungaryJapan
In The Last Decade
Duy Tran
24 papers receiving 895 citations
Peers
Comparison fields: 5 of 88
- Cell Biology 206
- Immunology 255
- Molecular Biology 607
- Cellular and Molecular Neuroscience 134
- Organic Chemistry 174
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 | 214 | |
| 2 | 2002 | 76 | |
| 3 | 2019 | 71 | |
| 4 | 2015 | 70 | |
| 5 | 2003 | 66 | |
| 6 | 1999 | 50 | |
| 7 | 2010 | 44 | |
| 8 | 2011 | 43 | |
| 9 | 2017 | 39 | |
| 10 | 2017 | 39 | |
| 11 | 2019 | 38 | |
| 12 | 2018 | 33 | |
| 13 | 2017 | 24 | |
| 14 | 2018 | 21 | |
| 15 | 2012 | 17 | |
| 16 | 2018 | 13 | |
| 17 | 2017 | 12 | |
| 18 | 2022 | 9 | |
| 19 | 2017 | 5 | |
| 20 | 2024 | 4 |
About Duy Tran
Duy Tran is a scholar working on Molecular Biology, Cell Biology, Immunology, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 25 papers that have together received 897 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), Invertebrate Immune Response Mechanisms (3 papers), Cellular Mechanics and Interactions (3 papers), Lysosomal Storage Disorders Research (3 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Cell Biology (206 citations), Immunology (255 citations), Molecular Biology (607 citations), Cellular and Molecular Neuroscience (134 citations) and Organic Chemistry (174 citations). Duy Tran has collaborated with scholars based in United States, Hungary and Japan. Frequent co-authors include Kelly G. Ten Hagen, Ping Zhang, Andrius Masedunskas, Roberto Weigert, Peyman Golshani, Zhenyu Zhang, David Stein, Thomas Gerken, Lawrence A. Tabak and Michael Einstein. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications, PLoS ONE, The Journal of Cell Biology and Biological Psychiatry.
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.