Cuiying Yi
Impact in
- Physiology top 5%
- Adenosine and Purinergic Signaling
-
- Neuropeptides and Animal Physiology
Papers in
-
- Receptor Mechanisms and Signaling 10
- S100 Proteins and Annexins 2
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- Neuropeptides and Animal Physiology 7
- Neuroscience and Neuropharmacology Research 2
- Co-authors
- Beili Wu (16 shared papers)Qiang Zhao (14 shared papers)Limin Ma (9 shared papers)Shuo Han (9 shared papers)Xiaojing Chu (10 shared papers)Gye Won Han (2 shared papers)Raymond C. Stevens (2 shared papers)Qiuxiang Tan (6 shared papers)
- Journals
- Nature Communications (6 papers)Nature (4 papers)Science Advances (2 papers)Cell Reports (1 paper)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Cuiying Yi
18 papers receiving 886 citations
Peers
Comparison fields: 5 of 81
- Physiology 100
- Cellular and Molecular Neuroscience 315
- Molecular Biology 689
- Radiology, Nuclear Medicine and Imaging 117
- Immunology 94
Countries citing papers authored by Cuiying Yi
This map shows the geographic impact of Cuiying 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 Cuiying Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cuiying Yi more than expected).
Fields of papers citing papers by Cuiying Yi
This network shows the impact of papers produced by Cuiying 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 Cuiying Yi. The network helps show where Cuiying Yi may publish in the future.
Co-authors
The 25 scholars most cited alongside Cuiying 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 | 2015 | 305 | |
| 2 | 2021 | 103 | |
| 3 | 2021 | 77 | |
| 4 | 2020 | 77 | |
| 5 | 2022 | 76 | |
| 6 | 2019 | 47 | |
| 7 | 2022 | 41 | |
| 8 | 2022 | 40 | |
| 9 | 2023 | 39 | |
| 10 | 2022 | 39 | |
| 11 | 2021 | 33 | |
| 12 | 2010 | 9 | |
| 13 | 2013 | 5 | |
| 14 | 2022 | 4 | |
| 15 | 2025 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2026 | 1 | |
| 19 | 2025 | 0 |
About Cuiying Yi
Cuiying Yi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Immunology, Animal Science and Zoology and Pathology and Forensic Medicine, having authored 19 papers that have together received 903 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (10 papers), Neuropeptides and Animal Physiology (7 papers), Pharmacological Effects and Assays (3 papers), Cancer Mechanisms and Therapy (2 papers), Immunotherapy and Immune Responses (2 papers), S100 Proteins and Annexins (2 papers), Chemokine receptors and signaling (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Physiology (100 citations), Cellular and Molecular Neuroscience (315 citations), Molecular Biology (689 citations), Radiology, Nuclear Medicine and Imaging (117 citations) and Immunology (94 citations). Cuiying Yi has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Beili Wu, Qiang Zhao, Limin Ma, Shuo Han, Xiaojing Chu, Gye Won Han, Raymond C. Stevens, Qiuxiang Tan, Kenneth A. Jacobson and Kaihua Zhang. Their work appears in journals such as Nature Communications, Nature, Science Advances, Cell Reports and Biochemical and Biophysical Research Communications.
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.