Huiling Tian
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Medicinal Plants and Bioactive Compounds 3
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- Neuroinflammation and Neurodegeneration Mechanisms 4
- Neurological Disease Mechanisms and Treatments 2
- Co-authors
- Zhigang Li (11 shared papers)Jing Jiang (8 shared papers)Shun Wang (4 shared papers)Zidong Wang (5 shared papers)Jingyu Ren (2 shared papers)Hao Liu (2 shared papers)Meng-Wei Guo (2 shared papers)Xiaoli Li (3 shared papers)
- Journals
- Frontiers in Psychiatry (3 papers)Journal of Visualized Experiments (2 papers)The Anatomical Record (1 paper)PLoS ONE (1 paper)BMJ Open (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Huiling Tian
34 papers receiving 603 citations
Peers
Comparison fields: 5 of 95
- Biological Psychiatry 55
- Neurology 84
- Complementary and alternative medicine 68
- Behavioral Neuroscience 27
- Developmental Neuroscience 23
Countries citing papers authored by Huiling Tian
This map shows the geographic impact of Huiling Tian'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 Huiling Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huiling Tian more than expected).
Fields of papers citing papers by Huiling Tian
This network shows the impact of papers produced by Huiling Tian. 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 Huiling Tian. The network helps show where Huiling Tian may publish in the future.
Co-authors
The 25 scholars most cited alongside Huiling Tian, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 70 | |
| 2 | 2019 | 62 | |
| 3 | 2020 | 46 | |
| 4 | 2018 | 35 | |
| 5 | 2021 | 29 | |
| 6 | 2022 | 29 | |
| 7 | 2019 | 28 | |
| 8 | 2019 | 28 | |
| 9 | 2022 | 27 | |
| 10 | 2022 | 26 | |
| 11 | 2020 | 25 | |
| 12 | 2020 | 22 | |
| 13 | 2024 | 21 | |
| 14 | 2020 | 16 | |
| 15 | 2018 | 16 | |
| 16 | 2020 | 16 | |
| 17 | 2020 | 15 | |
| 18 | 2020 | 14 | |
| 19 | 2021 | 12 | |
| 20 | 2020 | 12 |
About Huiling Tian
Huiling Tian is a scholar working on Molecular Biology, Neurology, Complementary and alternative medicine, Nature and Landscape Conservation and Physiology, having authored 35 papers that have together received 609 indexed citations. Recurring topics across this work include Acupuncture Treatment Research Studies (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Medicinal Plants and Bioactive Compounds (3 papers), Forest ecology and management (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Plant Water Relations and Carbon Dynamics (2 papers), Bone health and osteoporosis research (2 papers) and Neurological Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Biological Psychiatry (55 citations), Neurology (84 citations), Complementary and alternative medicine (68 citations), Behavioral Neuroscience (27 citations) and Developmental Neuroscience (23 citations). Huiling Tian has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhigang Li, Jing Jiang, Shun Wang, Zidong Wang, Jingyu Ren, Hao Liu, Meng-Wei Guo, Xiaoli Li, Jingyu Ren and Jiayi Yang. Their work appears in journals such as Frontiers in Psychiatry, Journal of Visualized Experiments, The Anatomical Record, PLoS ONE and BMJ Open.
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.