Ye Yu
Impact in
- Physiology top 0.5%
- Adenosine and Purinergic Signaling
- Pain Mechanisms and Treatments
- Sensory Systems top 1%
- Ion Channels and Receptors
Papers in
-
- Ion channel regulation and function 17
- Receptor Mechanisms and Signaling 14
- Ion Transport and Channel Regulation 13
-
- Neuropeptides and Animal Physiology 16
- Co-authors
- Tian‐Le Xu (9 shared papers)Weiguang Li (5 shared papers)Jin Wang (20 shared papers)Hui Cao (4 shared papers)Rui Wang (12 shared papers)Michael X. Zhu (17 shared papers)Ying‐Zhe Fan (19 shared papers)Hualiang Jiang (3 shared papers)
- Journals
- Journal of Biological Chemistry (11 papers)Peptides (7 papers)Nature Communications (7 papers)Insect Science (5 papers)Proceedings of the National Academy of Sciences (5 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ye Yu
108 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 145
- Physiology 330
- Sensory Systems 298
- Cellular and Molecular Neuroscience 520
- Endocrine and Autonomic Systems 150
- Molecular Biology 1.4k
Countries citing papers authored by Ye Yu
This map shows the geographic impact of Ye Yu'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 Ye Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Yu more than expected).
Fields of papers citing papers by Ye Yu
This network shows the impact of papers produced by Ye Yu. 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 Ye Yu. The network helps show where Ye Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ye Yu, 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 114 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 174 | |
| 2 | 2011 | 133 | |
| 3 | 2018 | 125 | |
| 4 | 2020 | 124 | |
| 5 | 2021 | 90 | |
| 6 | 2018 | 87 | |
| 7 | 2022 | 81 | |
| 8 | 2017 | 80 | |
| 9 | 2022 | 80 | |
| 10 | 2010 | 77 | |
| 11 | 2023 | 72 | |
| 12 | 2006 | 66 | |
| 13 | 2020 | 60 | |
| 14 | 2009 | 59 | |
| 15 | 2013 | 57 | |
| 16 | 2020 | 50 | |
| 17 | 2022 | 46 | |
| 18 | 2018 | 45 | |
| 19 | 2021 | 44 | |
| 20 | 2011 | 43 |
About Ye Yu
Ye Yu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Genetics and Sensory Systems, having authored 114 papers that have together received 2.8k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (19 papers), Ion channel regulation and function (17 papers), Neuropeptides and Animal Physiology (16 papers), Receptor Mechanisms and Signaling (14 papers), Ion Transport and Channel Regulation (13 papers), Ion Channels and Receptors (10 papers), Pain Mechanisms and Treatments (8 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (8 papers). The work is most often cited by research in Physiology (330 citations), Sensory Systems (298 citations), Cellular and Molecular Neuroscience (520 citations), Endocrine and Autonomic Systems (150 citations) and Molecular Biology (1.4k citations). Ye Yu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Tian‐Le Xu, Weiguang Li, Jin Wang, Hui Cao, Rui Wang, Michael X. Zhu, Ying‐Zhe Fan, Hualiang Jiang, Fang Yu and Hui Cao. Their work appears in journals such as Journal of Biological Chemistry, Peptides, Nature Communications, Insect Science and Proceedings of the National Academy of Sciences.
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.