Bin Ye
Impact in
- Toxicology top 5%
- Molecular Biology top 10%
- Protein Tyrosine Phosphatases
- Ion channel regulation and function
Papers in ⓘ
-
- Hearing, Cochlea, Tinnitus, Genetics 7
- Aging 2
- Co-authors
- Terrence R. Burke (11 shared papers)Samuel C. Mok (4 shared papers)Matteo Vatta (3 shared papers)David J. Tester (3 shared papers)Michael J. Ackerman (3 shared papers)Jonathan C. Makielski (3 shared papers)Xinjian Yan (3 shared papers)Toshihiko Kaku (1 shared paper)
- Journals
- Bioorganic & Medicinal Chemistry Letters (4 papers)Journal of Craniofacial Surgery (4 papers)International Journal of Molecular Sciences (3 papers)Tetrahedron (2 papers)Current Opinion in Obstetrics & Gynecology (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Bin Ye
85 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 110
- Toxicology 52
- Molecular Biology 1.0k
- Cancer Research 181
- Immunology 228
- Cardiology and Cardiovascular Medicine 227
Countries citing papers authored by Bin Ye
This map shows the geographic impact of Bin 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 Bin Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Ye more than expected).
Fields of papers citing papers by Bin Ye
This network shows the impact of papers produced by Bin 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 Bin Ye. The network helps show where Bin Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin 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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 157 | |
| 2 | 1996 | 118 | |
| 3 | 1996 | 86 | |
| 4 | 2003 | 76 | |
| 5 | 2009 | 62 | |
| 6 | 2009 | 60 | |
| 7 | 2008 | 51 | |
| 8 | 2013 | 50 | |
| 9 | 1998 | 40 | |
| 10 | 2008 | 40 | |
| 11 | 1997 | 39 | |
| 12 | 2019 | 38 | |
| 13 | 2003 | 36 | |
| 14 | 2015 | 35 | |
| 15 | 2018 | 34 | |
| 16 | 2012 | 32 | |
| 17 | 2011 | 31 | |
| 18 | 1997 | 30 | |
| 19 | 2008 | 30 | |
| 20 | 2004 | 29 |
About Bin Ye
Bin Ye is a scholar working on Sensory Systems, Aging, Complementary and Manual Therapy, Molecular Biology and Cancer Research, having authored 89 papers that have together received 1.7k indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (8 papers), Craniofacial Disorders and Treatments (7 papers), Hearing, Cochlea, Tinnitus, Genetics (7 papers), Cleft Lip and Palate Research (7 papers), RNA modifications and cancer (6 papers), Advanced Proteomics Techniques and Applications (6 papers), Chemical Synthesis and Analysis (5 papers) and Circular RNAs in diseases (4 papers). The work is most often cited by research in Toxicology (52 citations), Molecular Biology (1.0k citations), Cancer Research (181 citations), Immunology (228 citations) and Cardiology and Cardiovascular Medicine (227 citations). Bin Ye has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Terrence R. Burke, Samuel C. Mok, Matteo Vatta, David J. Tester, Michael J. Ackerman, Jonathan C. Makielski, Xinjian Yan, Toshihiko Kaku, Li Chen and Jing Hu. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Craniofacial Surgery, International Journal of Molecular Sciences, Tetrahedron and Current Opinion in Obstetrics & Gynecology.
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.