Ke Liu
Impact in
- Epidemiology top 0.5%
- Autophagy in Disease and Therapy
- Physiology top 0.5%
- Calcium signaling and nucleotide metabolism
Papers in
- Epidemiology 21
- Autophagy in Disease and Therapy 6
- Inflammatory Myopathies and Dermatomyositis 5
- Surgery 25
- Co-authors
- Huali Zhang (10 shared papers)Xianzhong Xiao (7 shared papers)Nian Wang (4 shared papers)Kangkai Wang (4 shared papers)Jiong Cheng (1 shared paper)Ijaz Khan (1 shared paper)Yong Jian Zhang (1 shared paper)Jiang Zou (3 shared papers)
- Journals
- Scientific Reports (4 papers)Autophagy (3 papers)Frontiers in Oncology (3 papers)Medicine (2 papers)Nature Genetics (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ke Liu
89 papers receiving 6.7k citations
Ke Liu's Hit Papers
Peers
Comparison fields: 5 of 170
- Epidemiology 3.2k
- Physiology 401
- Geriatrics and Gerontology 194
- Aging 86
- Cell Biology 709
Countries citing papers authored by Ke Liu
This map shows the geographic impact of Ke 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 Ke Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Liu more than expected).
Fields of papers citing papers by Ke Liu
This network shows the impact of papers produced by Ke 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 Ke Liu. The network helps show where Ke Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ke 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
Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) Hit paper breakdown → | 2016 | 4660 |
| 2 | 2017 | 341 | |
| 3 | 2019 | 144 | |
| 4 | 2018 | 124 | |
| 5 | 2019 | 105 | |
| 6 | 2012 | 93 | |
| 7 | 2021 | 91 | |
| 8 | 2023 | 75 | |
| 9 | 2005 | 62 | |
| 10 | 2019 | 61 | |
| 11 | 2017 | 51 | |
| 12 | 1990 | 49 | |
| 13 | 2012 | 48 | |
| 14 | 2018 | 46 | |
| 15 | 2018 | 43 | |
| 16 | 2016 | 41 | |
| 17 | 2015 | 40 | |
| 18 | 2014 | 38 | |
| 19 | 2018 | 34 | |
| 20 | 2020 | 33 |
About Ke Liu
Ke Liu is a scholar working on Epidemiology, Surgery, Dermatology, Rheumatology and Pulmonary and Respiratory Medicine, having authored 97 papers that have together received 6.8k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (6 papers), Dermatologic Treatments and Research (5 papers), Inflammatory Myopathies and Dermatomyositis (5 papers), Cancer-related molecular mechanisms research (3 papers), Wound Healing and Treatments (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Genetic Associations and Epidemiology (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Epidemiology (3.2k citations), Physiology (401 citations), Geriatrics and Gerontology (194 citations), Aging (86 citations) and Cell Biology (709 citations). Ke Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Huali Zhang, Xianzhong Xiao, Nian Wang, Kangkai Wang, Jiong Cheng, Ijaz Khan, Yong Jian Zhang, Jiang Zou, Meidong Liu and Hong Min Zhu. Their work appears in journals such as Scientific Reports, Autophagy, Frontiers in Oncology, Medicine and Nature 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.