Min Ye
Impact in
- Molecular Biology top 5%
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Epigenetics and DNA Methylation
- Renal and related cancers
- Hematology top 5%
- Acute Myeloid Leukemia Research
Papers in
-
- Epigenetics and DNA Methylation 7
- Insect Resistance and Genetics 5
- RNA modifications and cancer 5
- Renal and related cancers 4
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- 3D Printing in Biomedical Research 4
- Co-authors
- Thomas Graf (3 shared papers)Ru Feng (1 shared paper)Huafeng Xie (1 shared paper)Jared J. Grantham (3 shared papers)Xiaopu Wang (3 shared papers)Daniel G. Tenen (4 shared papers)Giovanni Amabile (3 shared papers)W.H. Wilson Tang (1 shared paper)
- Journals
- Cancer Research (4 papers)Blood (3 papers)International Journal of Molecular Sciences (2 papers)International Journal of Biological Macromolecules (2 papers)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Min Ye
91 papers receiving 3.1k citations
Min Ye's Hit Papers
Peers
Comparison fields: 5 of 148
- Molecular Biology 1.6k
- Hematology 252
- Aging 41
- Cancer Research 227
- Immunology 328
Countries citing papers authored by Min Ye
This map shows the geographic impact of Min 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 Min Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Ye more than expected).
Fields of papers citing papers by Min Ye
This network shows the impact of papers produced by Min 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 Min Ye. The network helps show where Min Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Min 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 101 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Stepwise Reprogramming of B Cells into Macrophages Hit paper breakdown → | 2004 | 723 |
| 2 | 2012 | 164 | |
| 3 | 2021 | 145 | |
| 4 | 2023 | 116 | |
| 5 | 2013 | 114 | |
| 6 | Magnetic Microrobots with Folate Targeting for Drug Delivery Hit paper breakdown → | 2023 | 108 |
| 7 | 2010 | 102 | |
| 8 | 2004 | 101 | |
| 9 | 1993 | 91 | |
| 10 | 1992 | 83 | |
| 11 | 2017 | 82 | |
| 12 | 2023 | 66 | |
| 13 | 2005 | 65 | |
| 14 | 2018 | 63 | |
| 15 | 2009 | 61 | |
| 16 | 1999 | 61 | |
| 17 | 2019 | 51 | |
| 18 | 2008 | 50 | |
| 19 | 2012 | 50 | |
| 20 | 2009 | 45 |
About Min Ye
Min Ye is a scholar working on Molecular Biology, Biomedical Engineering, Electrical and Electronic Engineering, Genetics and Materials Chemistry, having authored 101 papers that have together received 3.1k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (7 papers), Micro and Nano Robotics (6 papers), Insect Resistance and Genetics (5 papers), RNA modifications and cancer (5 papers), Cancer-related molecular mechanisms research (4 papers), 3D Printing in Biomedical Research (4 papers), Renal and related cancers (4 papers) and Genetic and Kidney Cyst Diseases (4 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Hematology (252 citations), Aging (41 citations), Cancer Research (227 citations) and Immunology (328 citations). Min Ye has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Thomas Graf, Ru Feng, Huafeng Xie, Jared J. Grantham, Xiaopu Wang, Daniel G. Tenen, Giovanni Amabile, W.H. Wilson Tang, Hai Yang and S.C. Wong. Their work appears in journals such as Cancer Research, Blood, International Journal of Molecular Sciences, International Journal of Biological Macromolecules 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.