Mao Ye
Impact in
- Molecular Biology top 2%
- Advanced biosensing and bioanalysis techniques
- RNA Interference and Gene Delivery
- DNA and Nucleic Acid Chemistry
- Neurology top 2%
- Barrier Structure and Function Studies
Papers in
-
- Advanced biosensing and bioanalysis techniques 43
- RNA Interference and Gene Delivery 27
- Ubiquitin and proteasome pathways 13
- DNA and Nucleic Acid Chemistry 12
- RNA modifications and cancer 11
- Oncology 35
- Cancer Immunotherapy and Biomarkers 10
- Cancer-related Molecular Pathways 10
- Co-authors
- Weihong Tan (45 shared papers)Peter C. Searson (5 shared papers)Andrew D. Wong (4 shared papers)Jing Liu (48 shared papers)Jeffrey D. Rothstein (1 shared paper)Dwight E. Bergles (1 shared paper)Jae Hyung Park (1 shared paper)Kyung‐Min Park (1 shared paper)
- Journals
- Scientific Reports (9 papers)Journal of Cellular and Molecular Medicine (6 papers)Analytical Chemistry (5 papers)International Journal of Molecular Sciences (4 papers)Blood (4 papers)
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Mao Ye
215 papers receiving 7.1k citations
Mao Ye's Hit Papers
Peers
Comparison fields: 5 of 156
- Molecular Biology 3.6k
- Neurology 381
- Biomaterials 539
- Pharmacology 318
- Oncology 893
Countries citing papers authored by Mao Ye
This map shows the geographic impact of Mao 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 Mao Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mao Ye more than expected).
Fields of papers citing papers by Mao Ye
This network shows the impact of papers produced by Mao 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 Mao Ye. The network helps show where Mao Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Mao 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 224 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The blood-brain barrier: an engineering perspective Hit paper breakdown → | 2013 | 498 |
| 2 | 2013 | 267 | |
| 3 | 2005 | 223 | |
| 4 | 2017 | 194 | |
| 5 | 2011 | 179 | |
| 6 | 2014 | 162 | |
| 7 | 2004 | 131 | |
| 8 | 2019 | 131 | |
| 9 | 2012 | 126 | |
| 10 | 2018 | 122 | |
| 11 | 2018 | 115 | |
| 12 | 2015 | 115 | |
| 13 | 2013 | 114 | |
| 14 | 2015 | 114 | |
| 15 | 2014 | 110 | |
| 16 | 2012 | 107 | |
| 17 | 2012 | 98 | |
| 18 | 2014 | 94 | |
| 19 | 2012 | 93 | |
| 20 | 2008 | 90 |
About Mao Ye
Mao Ye is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Pulmonary and Respiratory Medicine, having authored 224 papers that have together received 7.2k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (43 papers), RNA Interference and Gene Delivery (27 papers), Ubiquitin and proteasome pathways (13 papers), DNA and Nucleic Acid Chemistry (12 papers), RNA modifications and cancer (11 papers), Cancer Immunotherapy and Biomarkers (10 papers), Cancer-related Molecular Pathways (10 papers) and Multiple Myeloma Research and Treatments (9 papers). The work is most often cited by research in Molecular Biology (3.6k citations), Neurology (381 citations), Biomaterials (539 citations), Pharmacology (318 citations) and Oncology (893 citations). Mao Ye has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Weihong Tan, Peter C. Searson, Andrew D. Wong, Jing Liu, Jeffrey D. Rothstein, Dwight E. Bergles, Jae Hyung Park, Kyung‐Min Park, Guizhi Zhu and Rensen Zeng. Their work appears in journals such as Scientific Reports, Journal of Cellular and Molecular Medicine, Analytical Chemistry, International Journal of Molecular Sciences and Blood.
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.