Lin Ye
Impact in
- Virology top 10%
- HIV Research and Treatment
Papers in
-
- CRISPR and Genetic Engineering 16
- Pluripotent Stem Cells Research 10
- DNA Repair Mechanisms 5
- Genomics and Phylogenetic Studies 4
- RNA Interference and Gene Delivery 3
- Genetics 5
- Co-authors
- Yuet Wai Kan (9 shared papers)Judy C. Chang (5 shared papers)Jingwei Yu (4 shared papers)Zhongxia Qi (3 shared papers)Marcus O. Muench (3 shared papers)Ashley I. Beyer (3 shared papers)Chin Jia Lin (2 shared papers)Xiaofang Sun (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (6 papers)Stem Cells and Development (2 papers)British Journal of Haematology (1 paper)Gerontology (1 paper)Genetics Research (1 paper)
- Partner nations
- United StatesJapanChina
In The Last Decade
Lin Ye
27 papers receiving 806 citations
Peers
Comparison fields: 5 of 68
- Business and International Management 47
- Virology 64
- Molecular Biology 738
- Aging 14
- Genetics 68
Countries citing papers authored by Lin Ye
This map shows the geographic impact of Lin 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 Lin Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Ye more than expected).
Fields of papers citing papers by Lin Ye
This network shows the impact of papers produced by Lin 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 Lin Ye. The network helps show where Lin Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 247 | |
| 2 | 2009 | 155 | |
| 3 | 2019 | 94 | |
| 4 | 2018 | 56 | |
| 5 | 2013 | 54 | |
| 6 | 2007 | 39 | |
| 7 | 2006 | 39 | |
| 8 | 2010 | 36 | |
| 9 | 2014 | 14 | |
| 10 | 2020 | 13 | |
| 11 | 1993 | 10 | |
| 12 | 1993 | 8 | |
| 13 | 2009 | 7 | |
| 14 | 2016 | 6 | |
| 15 | 1993 | 6 | |
| 16 | 1996 | 6 | |
| 17 | 2021 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2020 | 5 |
About Lin Ye
Lin Ye is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Plant Science and Genetics, having authored 27 papers that have together received 828 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (16 papers), Pluripotent Stem Cells Research (10 papers), DNA Repair Mechanisms (5 papers), Genomics and Phylogenetic Studies (4 papers), Chromosomal and Genetic Variations (3 papers), Genetic Neurodegenerative Diseases (3 papers), RNA Interference and Gene Delivery (3 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Business and International Management (47 citations), Virology (64 citations), Molecular Biology (738 citations), Aging (14 citations) and Genetics (68 citations). Lin Ye has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Yuet Wai Kan, Judy C. Chang, Jingwei Yu, Zhongxia Qi, Marcus O. Muench, Ashley I. Beyer, Chin Jia Lin, Xiaofang Sun, Jay A. Levy and Fernando Teque. Their work appears in journals such as Proceedings of the National Academy of Sciences, Stem Cells and Development, British Journal of Haematology, Gerontology and Genetics Research.
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.