Feng Yi
Impact in
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
Papers in
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- Neuroscience and Neuropharmacology Research 30
- Photoreceptor and optogenetics research 3
-
- Neural dynamics and brain function 4
- Memory and Neural Mechanisms 4
- Co-authors
- Kasper B. HansenStephen F. TraynelisRiley E. PerszykLonnie P. WollmuthHiro FurukawaAlasdair J. GibbFrank S. MennitiJ. Josh Lawrence
- Journals
- Molecular Pharmacology (4 papers)ACS Chemical Neuroscience (3 papers)The Journal of Physiology (2 papers)Neuropharmacology (2 papers)The Journal of General Physiology (2 papers)
- Partner nations
- United StatesDenmarkChina
In The Last Decade
Feng Yi
29 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Cellular and Molecular Neuroscience 844
- Biological Psychiatry 82
- Developmental Neuroscience 60
- Cognitive Neuroscience 193
- Sensory Systems 48
Countries citing papers authored by Feng Yi
This map shows the geographic impact of Feng Yi'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 Feng Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Yi more than expected).
Fields of papers citing papers by Feng Yi
This network shows the impact of papers produced by Feng Yi. 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 Feng Yi. The network helps show where Feng Yi may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Yi, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 9 | |
| 6 | 2022 | 3 | |
| 7 | 2022 | 4 | |
| 8 | 2021 | 4 | |
| 9 | 2020 | 3 | |
| 10 | 2020 | 14 | |
| 11 | 2020 | 7 | |
| 12 | 2020 | 28 | |
| 13 | Structure, function, and allosteric modulation of NMDA receptors Hit paper breakdown → | 2018 | 393 |
| 14 | 2018 | 27 | |
| 15 | 2017 | 14 | |
| 16 | 2017 | 134 | |
| 17 | 2017 | 26 | |
| 18 | 2016 | 82 | |
| 19 | 2015 | 38 | |
| 20 | 2015 | 24 |
About Feng Yi
Feng Yi is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Biochemistry, Molecular Biology and Developmental Neuroscience, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (30 papers), Ion channel regulation and function (11 papers), Receptor Mechanisms and Signaling (10 papers), Chemical Synthesis and Analysis (8 papers), Neural dynamics and brain function (4 papers), Memory and Neural Mechanisms (4 papers), Amino Acid Enzymes and Metabolism (3 papers) and Photoreceptor and optogenetics research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (844 citations), Biological Psychiatry (82 citations), Developmental Neuroscience (60 citations), Cognitive Neuroscience (193 citations) and Sensory Systems (48 citations). Feng Yi has collaborated with scholars based in United States, Denmark and China. Frequent co-authors include Kasper B. Hansen, Stephen F. Traynelis, Riley E. Perszyk, Lonnie P. Wollmuth, Hiro Furukawa, Alasdair J. Gibb, Frank S. Menniti, J. Josh Lawrence, Karl Deisseroth and Subhrajit Bhattacharya. Their work appears in journals such as Molecular Pharmacology, ACS Chemical Neuroscience, The Journal of Physiology, Neuropharmacology and The Journal of General Physiology.
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.