Bing Ye
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
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- Neurobiology and Insect Physiology Research
- Neuroscience and Neuropharmacology Research
- Axon Guidance and Neuronal Signaling
Papers in
-
- Neurobiology and Insect Physiology Research 23
- Axon Guidance and Neuronal Signaling 8
- Neuroscience and Neuropharmacology Research 7
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- RNA Research and Splicing 5
- Developmental Biology and Gene Regulation 4
- Ubiquitin and proteasome pathways 3
- Co-authors
- Yuh Nung Jan (10 shared papers)Lily Yeh Jan (8 shared papers)Susan Younger (4 shared papers)Wesley B. Grueber (4 shared papers)Ye Zhang (2 shared papers)Wei Song (1 shared paper)Adrian W. Moore (1 shared paper)Jung Hwan Kim (7 shared papers)
- Journals
- Current Biology (7 papers)Journal of Neuroscience (5 papers)Neuron (4 papers)Cell Reports (3 papers)Cell (2 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Bing Ye
57 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 108
- Aging 164
- Cellular and Molecular Neuroscience 1.2k
- Cell Biology 860
- Developmental Neuroscience 166
- Molecular Biology 1.3k
Countries citing papers authored by Bing Ye
This map shows the geographic impact of Bing Ye'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 Bing Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Ye more than expected).
Fields of papers citing papers by Bing Ye
This network shows the impact of papers produced by Bing Ye. 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 Bing Ye. The network helps show where Bing Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Bing Ye, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 300 | |
| 2 | 2008 | 225 | |
| 3 | 2003 | 216 | |
| 4 | 2004 | 189 | |
| 5 | 2006 | 165 | |
| 6 | 2004 | 162 | |
| 7 | 1998 | 139 | |
| 8 | 2000 | 128 | |
| 9 | 2012 | 90 | |
| 10 | 2014 | 78 | |
| 11 | 2013 | 67 | |
| 12 | 2017 | 45 | |
| 13 | 2017 | 45 | |
| 14 | 2011 | 41 | |
| 15 | 2013 | 41 | |
| 16 | 2022 | 36 | |
| 17 | 2018 | 35 | |
| 18 | 2013 | 33 | |
| 19 | 2005 | 32 | |
| 20 | 2014 | 27 |
About Bing Ye
Bing Ye is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cell Biology, Genetics and Biophysics, having authored 58 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (23 papers), Axon Guidance and Neuronal Signaling (8 papers), Neuroscience and Neuropharmacology Research (7 papers), Cellular transport and secretion (5 papers), RNA Research and Splicing (5 papers), Cell Image Analysis Techniques (5 papers), Developmental Biology and Gene Regulation (4 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Aging (164 citations), Cellular and Molecular Neuroscience (1.2k citations), Cell Biology (860 citations), Developmental Neuroscience (166 citations) and Molecular Biology (1.3k citations). Bing Ye has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Yuh Nung Jan, Lily Yeh Jan, Susan Younger, Wesley B. Grueber, Ye Zhang, Wei Song, Adrian W. Moore, Jung Hwan Kim, Chung-Hui Yang and Richard L. Huganir. Their work appears in journals such as Current Biology, Journal of Neuroscience, Neuron, Cell Reports and Cell.
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.