Gen Yan
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
Papers in
-
- Advanced MRI Techniques and Applications 17
- MRI in cancer diagnosis 9
- Advanced Neuroimaging Techniques and Applications 9
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- Tryptophan and brain disorders 5
- Co-authors
- Renhua Wu (25 shared papers)Haiyun Xu (8 shared papers)Zhuozhi Dai (12 shared papers)Qingjun Huang (4 shared papers)Yunjuan Nie (3 shared papers)Zhiwei Shen (11 shared papers)Hui Peng (2 shared papers)Yuxi Ge (4 shared papers)
- Journals
- Scientific Reports (5 papers)ACS Chemical Neuroscience (3 papers)Journal of X-Ray Science and Technology (2 papers)Environmental Health and Preventive Medicine (2 papers)Frontiers in Neuroscience (2 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Gen Yan
56 papers receiving 914 citations
Peers
Comparison fields: 5 of 111
- Biological Psychiatry 73
- Behavioral Neuroscience 69
- Developmental Neuroscience 46
- Neurology 86
- Radiology, Nuclear Medicine and Imaging 176
Countries citing papers authored by Gen Yan
This map shows the geographic impact of Gen Yan'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 Gen Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gen Yan more than expected).
Fields of papers citing papers by Gen Yan
This network shows the impact of papers produced by Gen Yan. 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 Gen Yan. The network helps show where Gen Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Gen Yan, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 73 | |
| 2 | 2022 | 66 | |
| 3 | 2012 | 63 | |
| 4 | 2021 | 62 | |
| 5 | 2015 | 43 | |
| 6 | 2020 | 40 | |
| 7 | 2016 | 29 | |
| 8 | 2012 | 28 | |
| 9 | 2016 | 28 | |
| 10 | 2015 | 26 | |
| 11 | 2017 | 25 | |
| 12 | 2016 | 25 | |
| 13 | 2014 | 24 | |
| 14 | 2014 | 22 | |
| 15 | 2014 | 21 | |
| 16 | 2023 | 21 | |
| 17 | 2020 | 21 | |
| 18 | 2019 | 20 | |
| 19 | 2016 | 20 | |
| 20 | 2022 | 18 |
About Gen Yan
Gen Yan is a scholar working on Radiology, Nuclear Medicine and Imaging, Biological Psychiatry, Cellular and Molecular Neuroscience, Developmental Neuroscience and Materials Chemistry, having authored 62 papers that have together received 922 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (17 papers), Lanthanide and Transition Metal Complexes (11 papers), MRI in cancer diagnosis (9 papers), Advanced Neuroimaging Techniques and Applications (9 papers), Neuroscience and Neuropharmacology Research (7 papers), Tryptophan and brain disorders (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Electron Spin Resonance Studies (3 papers). The work is most often cited by research in Biological Psychiatry (73 citations), Behavioral Neuroscience (69 citations), Developmental Neuroscience (46 citations), Neurology (86 citations) and Radiology, Nuclear Medicine and Imaging (176 citations). Gen Yan has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Renhua Wu, Haiyun Xu, Zhuozhi Dai, Qingjun Huang, Yunjuan Nie, Zhiwei Shen, Hui Peng, Yuxi Ge, Gang Xiao and Yuan Shao. Their work appears in journals such as Scientific Reports, ACS Chemical Neuroscience, Journal of X-Ray Science and Technology, Environmental Health and Preventive Medicine and Frontiers in Neuroscience.
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.