Fēi Li
Impact in
- Biological Psychiatry top 5%
- Periodontics top 2%
- Oral microbiology and periodontitis research
Papers in
-
- Neuroscience and Neuropharmacology Research 33
- Neurotransmitter Receptor Influence on Behavior 10
-
- Gestational Diabetes Research and Management 14
- Journals
- PLoS ONE (7 papers)Scientific Reports (4 papers)BMC Public Health (4 papers)Frontiers in Endocrinology (4 papers)Molecular Psychiatry (4 papers)
- Partner nations
- ChinaUnited StatesDenmark
In The Last Decade
Fēi Li
207 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 177
- Biological Psychiatry 100
- Periodontics 156
- Cellular and Molecular Neuroscience 605
- Cognitive Neuroscience 516
- Modeling and Simulation 116
Countries citing papers authored by Fēi Li
This map shows the geographic impact of Fēi Li'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 Fēi Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fēi Li more than expected).
Fields of papers citing papers by Fēi Li
This network shows the impact of papers produced by Fēi Li. 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 Fēi Li. The network helps show where Fēi Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fēi Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 5 | |
| 7 | 2023 | 8 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 6 | |
| 11 | 2022 | 6 | |
| 12 | 2022 | 9 | |
| 13 | 2021 | 40 | |
| 14 | 2021 | 17 | |
| 15 | 2020 | 21 | |
| 16 | 2020 | 6 | |
| 17 | 2019 | 37 | |
| 18 | 2013 | 1 | |
| 19 | 2011 | 83 | |
| 20 | Effects of tetrandrine on apoptosis of cultured neonatal rat cardiomyocytes during ischemia/reperfusion injury | 2003 | 1 |
About Fēi Li
Fēi Li is a scholar working on Cellular and Molecular Neuroscience, Obstetrics and Gynecology, Cognitive Neuroscience, Developmental Neuroscience and Modeling and Simulation, having authored 223 papers that have together received 4.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (33 papers), Genetics and Neurodevelopmental Disorders (14 papers), Gestational Diabetes Research and Management (14 papers), Birth, Development, and Health (13 papers), Autism Spectrum Disorder Research (13 papers), Memory and Neural Mechanisms (13 papers), Receptor Mechanisms and Signaling (12 papers) and Neurotransmitter Receptor Influence on Behavior (10 papers). The work is most often cited by research in Biological Psychiatry (100 citations), Periodontics (156 citations), Cellular and Molecular Neuroscience (605 citations), Cognitive Neuroscience (516 citations) and Modeling and Simulation (116 citations). Fēi Li has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Joe Z. Tsien, Mingyu Xu, Xuefeng Xu, Jijun Li, Xinzhu Meng, Jun Zhang, Xiaoming Shen, Viktor R. Drel, Irina G. Obrosova and Valeriy V. Lyzogubov. Their work appears in journals such as PLoS ONE, Scientific Reports, BMC Public Health, Frontiers in Endocrinology and Molecular Psychiatry.
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.