Yaping Liu
Impact in
- Urology top 0.1%
- Hair Growth and Disorders
- Dermatology top 0.2%
Papers in
-
- Cancer Genomics and Diagnostics 9
- Urology 9
- Hair Growth and Disorders 9
- Co-authors
- George CotsarelisZaixin YangRebecca MorrisCurtis D. KlaassenStephen LyleBenjamin P. BermanJane NguyenFan Liang
- Journals
- Genome biology (4 papers)Toxicology and Applied Pharmacology (4 papers)Cancer Research (3 papers)Cellular and Molecular Neurobiology (3 papers)Free Radical Biology and Medicine (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yaping Liu
196 papers receiving 10.9k citations
Hit Papers
Peers
Comparison fields: 5 of 194
- Urology 1.9k
- Dermatology 1.1k
- Pharmacology 898
- Rehabilitation 702
- Cell Biology 1.3k
Countries citing papers authored by Yaping Liu
This map shows the geographic impact of Yaping Liu'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 Yaping Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaping Liu more than expected).
Fields of papers citing papers by Yaping Liu
This network shows the impact of papers produced by Yaping Liu. 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 Yaping Liu. The network helps show where Yaping Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yaping Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 9 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 12 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 6 | |
| 9 | 2023 | 2 | |
| 10 | 2022 | 13 | |
| 11 | 2020 | 24 | |
| 12 | 2020 | 42 | |
| 13 | 2020 | 39 | |
| 14 | 2019 | 151 | |
| 15 | Growth inhibitory effect of stevioside on ovarian cancer through Akt/ERK pathway | 2017 | 7 |
| 16 | 2016 | 227 | |
| 17 | 2013 | 143 | |
| 18 | 2013 | 3 | |
| 19 | 2012 | 208 | |
| 20 | How Many Cores Does Parallel BGP Need in a High-Speed Router | 2012 | 1 |
About Yaping Liu
Yaping Liu is a scholar working on Cancer Research, Urology, Molecular Biology, Nutrition and Dietetics and Computer Networks and Communications, having authored 209 papers that have together received 11.1k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (19 papers), Internet Traffic Analysis and Secure E-voting (11 papers), Genomics and Chromatin Dynamics (10 papers), RNA modifications and cancer (10 papers), Cancer Genomics and Diagnostics (9 papers), Trace Elements in Health (9 papers), Hair Growth and Disorders (9 papers) and Caching and Content Delivery (8 papers). The work is most often cited by research in Urology (1.9k citations), Dermatology (1.1k citations), Pharmacology (898 citations), Rehabilitation (702 citations) and Cell Biology (1.3k citations). Yaping Liu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include George Cotsarelis, Zaixin Yang, Rebecca Morris, Curtis D. Klaassen, Stephen Lyle, Benjamin P. Berman, Jane Nguyen, Fan Liang, Mayumi Ito and Jeff L. Staudinger. Their work appears in journals such as Genome biology, Toxicology and Applied Pharmacology, Cancer Research, Cellular and Molecular Neurobiology and Free Radical Biology and Medicine.
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.