Gen Yan
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
Papers in
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- Advanced MRI Techniques and Applications 12
- Advanced Neuroimaging Techniques and Applications 8
- MRI in cancer diagnosis 7
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- Neuroscience and Neuropharmacology Research 6
- Co-authors
- Renhua Wu (20 shared papers)Haiyun Xu (8 shared papers)Zhuozhi Dai (12 shared papers)Qingjun Huang (4 shared papers)Zhiwei Shen (11 shared papers)Yunjuan Nie (3 shared papers)Hui Peng (2 shared papers)Yuan Shao (1 shared paper)
- Journals
- Scientific Reports (4 papers)PLoS ONE (2 papers)Journal of X-Ray Science and Technology (2 papers)ACS Chemical Neuroscience (2 papers)Neuroreport (1 paper)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Gen Yan
40 papers receiving 631 citations
Peers
Comparison fields: 5 of 86
- Biological Psychiatry 72
- Behavioral Neuroscience 68
- Developmental Neuroscience 45
- Neurology 65
- Radiology, Nuclear Medicine and Imaging 129
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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 71 | |
| 2 | 2022 | 63 | |
| 3 | 2015 | 43 | |
| 4 | 2016 | 28 | |
| 5 | 2016 | 27 | |
| 6 | 2012 | 27 | |
| 7 | 2015 | 25 | |
| 8 | 2016 | 23 | |
| 9 | 2014 | 23 | |
| 10 | 2014 | 22 | |
| 11 | 2020 | 21 | |
| 12 | 2014 | 20 | |
| 13 | 2016 | 20 | |
| 14 | 2023 | 19 | |
| 15 | 2019 | 19 | |
| 16 | 2017 | 18 | |
| 17 | 2022 | 17 | |
| 18 | 2014 | 16 | |
| 19 | 2014 | 16 | |
| 20 | 2019 | 14 |
About Gen Yan
Gen Yan is a scholar working on Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience, Materials Chemistry, Biological Psychiatry and Molecular Biology, having authored 45 papers that have together received 637 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (12 papers), Advanced Neuroimaging Techniques and Applications (8 papers), MRI in cancer diagnosis (7 papers), Lanthanide and Transition Metal Complexes (7 papers), Neuroscience and Neuropharmacology Research (6 papers), Tryptophan and brain disorders (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Electron Spin Resonance Studies (2 papers). The work is most often cited by research in Biological Psychiatry (72 citations), Behavioral Neuroscience (68 citations), Developmental Neuroscience (45 citations), Neurology (65 citations) and Radiology, Nuclear Medicine and Imaging (129 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, Zhiwei Shen, Yunjuan Nie, Hui Peng, Yuan Shao, Guishan Zhang and Xin‐Min Li. Their work appears in journals such as Scientific Reports, PLoS ONE, Journal of X-Ray Science and Technology, ACS Chemical Neuroscience and Neuroreport.
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.