Can Yan
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
Papers in
-
- Tryptophan and brain disorders 14
-
- Stress Responses and Cortisol 14
- Co-authors
- Dan Yan (5 shared papers)Zhirui Yang (3 shared papers)Jianglan Long (2 shared papers)Cheng Peng (1 shared paper)Yumei Han (1 shared paper)Bozhi Li (7 shared papers)Jie Chen (4 shared papers)Ling Li (5 shared papers)
- Journals
- Journal of Psychiatric Research (3 papers)Frontiers in Pharmacology (3 papers)Journal of Integrative Neuroscience (1 paper)Scientific Reports (1 paper)Neuroscience Research (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Can Yan
35 papers receiving 451 citations
Peers
Comparison fields: 5 of 95
- Biological Psychiatry 117
- Behavioral Neuroscience 83
- Developmental Neuroscience 32
- Neurology 39
- Pharmacology 34
Countries citing papers authored by Can Yan
This map shows the geographic impact of Can 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 Can Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Can Yan more than expected).
Fields of papers citing papers by Can Yan
This network shows the impact of papers produced by Can 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 Can Yan. The network helps show where Can Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Can 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 72 | |
| 2 | 2019 | 35 | |
| 3 | 2021 | 32 | |
| 4 | 2020 | 26 | |
| 5 | 2024 | 24 | |
| 6 | 2023 | 23 | |
| 7 | 2021 | 22 | |
| 8 | 2021 | 18 | |
| 9 | 2016 | 17 | |
| 10 | 2021 | 16 | |
| 11 | 2020 | 15 | |
| 12 | 2020 | 15 | |
| 13 | 2020 | 15 | |
| 14 | 2022 | 14 | |
| 15 | 2020 | 14 | |
| 16 | 2022 | 14 | |
| 17 | 2023 | 11 | |
| 18 | 2023 | 11 | |
| 19 | 2020 | 11 | |
| 20 | 2020 | 9 |
About Can Yan
Can Yan is a scholar working on Biological Psychiatry, Behavioral Neuroscience, Molecular Biology, Neurology and Physiology, having authored 38 papers that have together received 459 indexed citations. Recurring topics across this work include Tryptophan and brain disorders (14 papers), Stress Responses and Cortisol (14 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Pharmacological Effects of Natural Compounds (4 papers), Diet and metabolism studies (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). The work is most often cited by research in Biological Psychiatry (117 citations), Behavioral Neuroscience (83 citations), Developmental Neuroscience (32 citations), Neurology (39 citations) and Pharmacology (34 citations). Can Yan has collaborated with scholars based in China and United States. Frequent co-authors include Dan Yan, Zhirui Yang, Jianglan Long, Cheng Peng, Yumei Han, Bozhi Li, Jie Chen, Ling Li, Yuan Hu and Jie Niu. Their work appears in journals such as Journal of Psychiatric Research, Frontiers in Pharmacology, Journal of Integrative Neuroscience, Scientific Reports and Neuroscience Research.
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.