Lingling Ye
Impact in
- Aging top 10%
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Viral Infectious Diseases and Gene Expression in Insects 6
- Physiology 13
- Telomeres, Telomerase, and Senescence 10
- Co-authors
- Xin Wang (3 shared papers)Munan Lyu (4 shared papers)Ari Pekka Mähönen (5 shared papers)Wayne Silverman (9 shared papers)Edmund C. Jenkins (12 shared papers)Fen Wang (6 shared papers)Nicole Schupf (8 shared papers)Yan Yang (3 shared papers)
- Journals
- Scientific Reports (5 papers)Nature Plants (4 papers)Journal of Pharmaceutical Sciences (3 papers)Neuroreport (3 papers)American Journal of Medical Genetics Part B Neuropsychiatric Genetics (3 papers)
- Partner nations
- ChinaUnited StatesFinland
In The Last Decade
Lingling Ye
69 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 125
- Aging 28
- Cancer Research 207
- Geriatrics and Gerontology 46
- Molecular Biology 653
- Plant Science 242
Countries citing papers authored by Lingling Ye
This map shows the geographic impact of Lingling 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 Lingling Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingling Ye more than expected).
Fields of papers citing papers by Lingling Ye
This network shows the impact of papers produced by Lingling 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 Lingling Ye. The network helps show where Lingling Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingling 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 169 | |
| 2 | 2020 | 89 | |
| 3 | 2013 | 84 | |
| 4 | 2021 | 73 | |
| 5 | 2005 | 54 | |
| 6 | 2006 | 48 | |
| 7 | 2023 | 44 | |
| 8 | 2021 | 37 | |
| 9 | 2016 | 35 | |
| 10 | 1994 | 34 | |
| 11 | 2017 | 32 | |
| 12 | 2008 | 31 | |
| 13 | 2008 | 31 | |
| 14 | 1999 | 31 | |
| 15 | 2016 | 28 | |
| 16 | 2008 | 27 | |
| 17 | 2016 | 25 | |
| 18 | 2016 | 22 | |
| 19 | 2021 | 21 | |
| 20 | 2014 | 18 |
About Lingling Ye
Lingling Ye is a scholar working on Molecular Biology, Physiology, Genetics, Plant Science and Epidemiology, having authored 74 papers that have together received 1.3k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (10 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers), Plant Molecular Biology Research (5 papers), Cancer-related molecular mechanisms research (5 papers), Frailty in Older Adults (5 papers), Plant nutrient uptake and metabolism (4 papers) and Tissue Engineering and Regenerative Medicine (4 papers). The work is most often cited by research in Aging (28 citations), Cancer Research (207 citations), Geriatrics and Gerontology (46 citations), Molecular Biology (653 citations) and Plant Science (242 citations). Lingling Ye has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Xin Wang, Munan Lyu, Ari Pekka Mähönen, Wayne Silverman, Edmund C. Jenkins, Fen Wang, Nicole Schupf, Yan Yang, Warren B. Zigman and Hui Yang. Their work appears in journals such as Scientific Reports, Nature Plants, Journal of Pharmaceutical Sciences, Neuroreport and American Journal of Medical Genetics Part B Neuropsychiatric Genetics.
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.