Fang Chen
Impact in
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
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- Circadian rhythm and melatonin
Papers in
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- Plant tissue culture and regeneration 8
- Extracellular vesicles in disease 4
- Hematology 12
- Hematopoietic Stem Cell Transplantation 7
- Co-authors
- Zhian Hu (7 shared papers)Bo Li (3 shared papers)Chao He (3 shared papers)Guillaume Duret (1 shared paper)Jacob T. Robinson (1 shared paper)Gufeng Wang (1 shared paper)Víctor García‐López (1 shared paper)Christian Nilewski (1 shared paper)
- Journals
- Leukemia (3 papers)Blood (2 papers)Behavioural Brain Research (2 papers)Neurochemical Research (2 papers)Cerebral Cortex (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Fang Chen
63 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 131
- Cellular and Molecular Neuroscience 452
- Endocrine and Autonomic Systems 113
- Microbiology 92
- Cell Biology 172
- Cognitive Neuroscience 197
Countries citing papers authored by Fang Chen
This map shows the geographic impact of Fang Chen'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 Fang Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Chen more than expected).
Fields of papers citing papers by Fang Chen
This network shows the impact of papers produced by Fang Chen. 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 Fang Chen. The network helps show where Fang Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Fang Chen, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 282 | |
| 2 | 2013 | 260 | |
| 3 | 2009 | 115 | |
| 4 | 2013 | 109 | |
| 5 | 2022 | 103 | |
| 6 | 2009 | 63 | |
| 7 | 2018 | 57 | |
| 8 | 2011 | 56 | |
| 9 | 2007 | 48 | |
| 10 | 2018 | 48 | |
| 11 | Plant regeneration from epicotyl explant of Jatropha curcas. | 2004 | 48 |
| 12 | 2019 | 42 | |
| 13 | 2008 | 39 | |
| 14 | 2016 | 39 | |
| 15 | 2016 | 34 | |
| 16 | 2010 | 29 | |
| 17 | 2012 | 27 | |
| 18 | 2013 | 27 | |
| 19 | 2011 | 27 | |
| 20 | 2024 | 21 |
About Fang Chen
Fang Chen is a scholar working on Molecular Biology, Hematology, Cellular and Molecular Neuroscience, Cell Biology and Physiology, having authored 66 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (8 papers), Plant tissue culture and regeneration (8 papers), Hematopoietic Stem Cell Transplantation (7 papers), Sleep and Wakefulness Research (5 papers), Biochemical effects in animals (5 papers), Circadian rhythm and melatonin (5 papers), Antimicrobial Peptides and Activities (4 papers) and Extracellular vesicles in disease (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (452 citations), Endocrine and Autonomic Systems (113 citations), Microbiology (92 citations), Cell Biology (172 citations) and Cognitive Neuroscience (197 citations). Fang Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhian Hu, Bo Li, Chao He, Guillaume Duret, Jacob T. Robinson, Gufeng Wang, Víctor García‐López, Christian Nilewski, Amir Aliyan and Anatoly B. Kolomeisky. Their work appears in journals such as Leukemia, Blood, Behavioural Brain Research, Neurochemical Research and Cerebral Cortex.
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.