Lin Ye
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 10%
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Circular RNAs in diseases
- Cancer-related gene regulation
- RNA Research and Splicing
Papers in
-
- Cancer-related gene regulation 9
- Epigenetics and DNA Methylation 8
- RNA modifications and cancer 6
- Inflammasome and immune disorders 4
-
- Cancer-related molecular mechanisms research 6
- MicroRNA in disease regulation 5
- Cancer, Lipids, and Metabolism 2
- Co-authors
- Gary E. Means (1 shared paper)R.E. Feeney (1 shared paper)Tingxiu Xiang (11 shared papers)Weiyan Peng (7 shared papers)Guosheng Ren (6 shared papers)Zhu Qiu (5 shared papers)Liduan Zheng (4 shared papers)Qiangsong Tong (4 shared papers)
- Journals
- Theranostics (2 papers)Epigenomics (2 papers)Frontiers in Oncology (2 papers)Autophagy (1 paper)Inflammation Research (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Lin Ye
44 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 101
- Cancer Research 331
- Molecular Biology 737
- Oncology 184
- Biotechnology 51
- Pulmonary and Respiratory Medicine 155
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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1969 | 207 | |
| 2 | 2021 | 125 | |
| 3 | 2018 | 79 | |
| 4 | 2014 | 71 | |
| 5 | 2017 | 58 | |
| 6 | 2013 | 50 | |
| 7 | 2014 | 48 | |
| 8 | 2020 | 46 | |
| 9 | 2020 | 41 | |
| 10 | 2022 | 40 | |
| 11 | 2021 | 38 | |
| 12 | 2019 | 37 | |
| 13 | 2017 | 28 | |
| 14 | 2018 | 27 | |
| 15 | 2020 | 24 | |
| 16 | 2019 | 19 | |
| 17 | 2018 | 19 | |
| 18 | 2018 | 18 | |
| 19 | 2013 | 18 | |
| 20 | 2018 | 14 |
About Lin Ye
Lin Ye is a scholar working on Molecular Biology, Cancer Research, Oncology, Surgery and Epidemiology, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer-related gene regulation (9 papers), Epigenetics and DNA Methylation (8 papers), RNA modifications and cancer (6 papers), Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (5 papers), Inflammasome and immune disorders (4 papers), Dental Implant Techniques and Outcomes (3 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Cancer Research (331 citations), Molecular Biology (737 citations), Oncology (184 citations), Biotechnology (51 citations) and Pulmonary and Respiratory Medicine (155 citations). Lin Ye has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Gary E. Means, R.E. Feeney, Tingxiu Xiang, Weiyan Peng, Guosheng Ren, Zhu Qiu, Liduan Zheng, Qiangsong Tong, Ran Sun and Jun Tang. Their work appears in journals such as Theranostics, Epigenomics, Frontiers in Oncology, Autophagy and Inflammation 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.