Feng Yi

1.6k citations
32 papers · 1.2k indexed · 1 hit paper · h-index 15

Impact in

Papers in

Feng Yi

29 papers receiving 1.2k citations

Hit Papers

Structure, function, and allosteric modulation of NMDA receptors 2018 · 393 citations
3932018202620202023100200300

Peers

Feng Yi
Comparison fields: 5 of 88
  • Cellular and Molecular Neuroscience 844
  • Biological Psychiatry 82
  • Developmental Neuroscience 60
  • Cognitive Neuroscience 193
  • Sensory Systems 48
Replace Shujia Zhu with:
Shujia Zhu China
Florence Gaven France
Riley E. Perszyk United States
Chian‐Ming Low Singapore
Rafael Rodríguez‐Puertas Spain
Hideko Yamamoto Japan
Kevin Erreger United States
Yasushi Yabuki Japan
Arturas Volianskis United Kingdom
Sharon Goodenough Germany
Feng Yi relative to Shujia Zhu China Shujia Zhu's profile →
Citations per field
00.5×
Shujia Zhu · 1×
Citations per year

Countries citing papers authored by Feng Yi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Feng Yi Line = papers co-authored together Feng Yi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20251
4 20240
5 20239
6 20223
7 20224
8 20214
9 20203
10 202014
11 20207
12 202028
13
Structure, function, and allosteric modulation of NMDA receptors
Hit paper breakdown →
2018393
14 201827
15 201714
16 2017134
17 201726
18 201682
19 201538
20 201524

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.

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