Ling Yu
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Developmental Biology top 5%
Papers in
-
- Developmental Biology and Gene Regulation 8
- Oncology 15
- Cancer Cells and Metastasis 9
- Co-authors
- Ken Muneoka (18 shared papers)Mingquan Yan (15 shared papers)Guo Dai (10 shared papers)Manjong Han (6 shared papers)Shufang Wang (7 shared papers)Shuping Gu (3 shared papers)Yuanqing Yao (5 shared papers)Shiqing Liu (7 shared papers)
- Journals
- Developmental Biology (4 papers)Oncotarget (4 papers)Development (3 papers)Wound Repair and Regeneration (3 papers)Stem Cell Research & Therapy (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ling Yu
76 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 116
- Cancer Research 561
- Developmental Biology 77
- Molecular Biology 1.4k
- Aging 35
- Genetics 190
Countries citing papers authored by Ling Yu
This map shows the geographic impact of Ling Yu'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 Ling Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Yu more than expected).
Fields of papers citing papers by Ling Yu
This network shows the impact of papers produced by Ling Yu. 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 Ling Yu. The network helps show where Ling Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling Yu, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 155 | |
| 2 | 2013 | 151 | |
| 3 | 2005 | 125 | |
| 4 | 2005 | 122 | |
| 5 | 2013 | 113 | |
| 6 | 2017 | 111 | |
| 7 | 2010 | 109 | |
| 8 | 2014 | 107 | |
| 9 | 2015 | 100 | |
| 10 | 2015 | 89 | |
| 11 | 2018 | 84 | |
| 12 | 2012 | 78 | |
| 13 | 2007 | 73 | |
| 14 | 2021 | 65 | |
| 15 | 2015 | 64 | |
| 16 | 2019 | 63 | |
| 17 | 2012 | 62 | |
| 18 | 2016 | 61 | |
| 19 | 2008 | 57 | |
| 20 | 2018 | 53 |
About Ling Yu
Ling Yu is a scholar working on Molecular Biology, Oncology, Cancer Research, Surgery and Epidemiology, having authored 77 papers that have together received 2.9k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (9 papers), MicroRNA in disease regulation (9 papers), Developmental Biology and Gene Regulation (8 papers), Bone fractures and treatments (7 papers), Reconstructive Surgery and Microvascular Techniques (7 papers), Cancer-related molecular mechanisms research (7 papers), Osteoarthritis Treatment and Mechanisms (5 papers) and Reproductive Biology and Fertility (5 papers). The work is most often cited by research in Cancer Research (561 citations), Developmental Biology (77 citations), Molecular Biology (1.4k citations), Aging (35 citations) and Genetics (190 citations). Ling Yu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ken Muneoka, Mingquan Yan, Guo Dai, Manjong Han, Shufang Wang, Shuping Gu, Yuanqing Yao, Shiqing Liu, Jangwoo Lee and Changyong Wang. Their work appears in journals such as Developmental Biology, Oncotarget, Development, Wound Repair and Regeneration and Stem Cell Research & Therapy.
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.