Daniel Tran
Impact in
- Reproductive Medicine top 5%
- Sperm and Testicular Function
- Ovarian function and disorders
- Physiology top 5%
Papers in
-
- Plant and Biological Electrophysiology Studies 14
- Plant Stress Responses and Tolerance 10
- Greenhouse Technology and Climate Control 6
- Plant responses to water stress 4
- Co-authors
- Nathalie Josso (3 shared papers)Phillip Görden (1 shared paper)Fumio Sawano (1 shared paper)Lelio Orci (1 shared paper)J L Carpentier (1 shared paper)N Josso (3 shared papers)J. Bézard (2 shared papers)Jean‐Marie Frachisse (4 shared papers)
- Journals
- Plant Science (3 papers)Plant Signaling & Behavior (2 papers)Applied Sciences (2 papers)Proceedings of the National Academy of Sciences (2 papers)Reproduction (2 papers)
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
Daniel Tran
70 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 148
- Reproductive Medicine 188
- Physiology 74
- Plant Science 483
- Cell Biology 203
- Molecular Biology 552
Countries citing papers authored by Daniel Tran
This map shows the geographic impact of Daniel 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 Daniel Tran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Tran more than expected).
Fields of papers citing papers by Daniel Tran
This network shows the impact of papers produced by Daniel 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 Daniel Tran. The network helps show where Daniel Tran may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 212 | |
| 2 | 1987 | 114 | |
| 3 | The anti-Müllerian hormone. | 1977 | 88 |
| 4 | 2014 | 80 | |
| 5 | 1987 | 78 | |
| 6 | 1984 | 68 | |
| 7 | 2017 | 60 | |
| 8 | 1994 | 55 | |
| 9 | 2019 | 50 | |
| 10 | 2013 | 42 | |
| 11 | 2017 | 41 | |
| 12 | 2010 | 40 | |
| 13 | 2014 | 39 | |
| 14 | 2008 | 39 | |
| 15 | 2021 | 29 | |
| 16 | 2016 | 29 | |
| 17 | 2014 | 27 | |
| 18 | 2019 | 26 | |
| 19 | 2021 | 25 | |
| 20 | 2012 | 25 |
About Daniel Tran
Daniel Tran is a scholar working on Plant Science, Molecular Biology, Astronomy and Astrophysics, Global and Planetary Change and Ecology, having authored 73 papers that have together received 1.6k indexed citations. Recurring topics across this work include Plant and Biological Electrophysiology Studies (14 papers), Plant Stress Responses and Tolerance (10 papers), Planetary Science and Exploration (9 papers), Greenhouse Technology and Climate Control (6 papers), Erythrocyte Function and Pathophysiology (5 papers), Reproductive Biology and Fertility (5 papers), Plant responses to water stress (4 papers) and Astro and Planetary Science (4 papers). The work is most often cited by research in Reproductive Medicine (188 citations), Physiology (74 citations), Plant Science (483 citations), Cell Biology (203 citations) and Molecular Biology (552 citations). Daniel Tran has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Nathalie Josso, Phillip Görden, Fumio Sawano, Lelio Orci, J L Carpentier, N Josso, J. Bézard, Jean‐Marie Frachisse, François Bouteau and Steve Chien. Their work appears in journals such as Plant Science, Plant Signaling & Behavior, Applied Sciences, Proceedings of the National Academy of Sciences and Reproduction.
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.