Jing Liu
Impact in
- Geriatrics and Gerontology top 0.5%
- Molecular Biology top 1%
- Protein Degradation and Inhibitors
- Ubiquitin and proteasome pathways
- Signaling Pathways in Disease
- Epigenetics and DNA Methylation
Papers in
-
- Ubiquitin and proteasome pathways 48
- Protein Degradation and Inhibitors 40
- Mitochondrial Function and Pathology 11
- Physiology 39
- Adipose Tissue and Metabolism 22
- Co-authors
- Wenyi Wei (31 shared papers)Yunhua Peng (19 shared papers)Jian Jin (24 shared papers)Adrian Salic (2 shared papers)Yangqing Xu (2 shared papers)C.T. Walsh (1 shared paper)H. Ümit Kanıskan (10 shared papers)Narla Mohandas (3 shared papers)
- Journals
- Journal of the American Chemical Society (9 papers)Journal of Medicinal Chemistry (8 papers)Journal of Biological Chemistry (7 papers)Scientific Reports (5 papers)Free Radical Biology and Medicine (5 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Jing Liu
258 papers receiving 10.3k citations
Jing Liu's Hit Papers
Peers
Comparison fields: 5 of 154
- Geriatrics and Gerontology 315
- Molecular Biology 5.9k
- Cancer Research 949
- Physiology 1.4k
- Hematology 621
Countries citing papers authored by Jing Liu
This map shows the geographic impact of Jing 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 Jing Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Liu more than expected).
Fields of papers citing papers by Jing Liu
This network shows the impact of papers produced by Jing 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 Jing Liu. The network helps show where Jing Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing 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 279 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 395 | |
| 2 | 2011 | 318 | |
| 3 | Cell cycle on the crossroad of tumorigenesis and cancer therapy Hit paper breakdown → | 2021 | 283 |
| 4 | 2006 | 238 | |
| 5 | 2017 | 236 | |
| 6 | Cancer Selective Target Degradation by Folate-Caged PROTACs Hit paper breakdown → | 2021 | 236 |
| 7 | 2020 | 234 | |
| 8 | 1990 | 225 | |
| 9 | 1990 | 219 | |
| 10 | 2005 | 195 | |
| 11 | 2021 | 189 | |
| 12 | 2013 | 166 | |
| 13 | 2012 | 164 | |
| 14 | 2005 | 164 | |
| 15 | 2020 | 155 | |
| 16 | 2007 | 148 | |
| 17 | 2002 | 145 | |
| 18 | 2012 | 143 | |
| 19 | 2010 | 142 | |
| 20 | 2008 | 140 |
About Jing Liu
Jing Liu is a scholar working on Molecular Biology, Physiology, Oncology, Cancer Research and Epidemiology, having authored 279 papers that have together received 10.4k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (48 papers), Protein Degradation and Inhibitors (40 papers), Adipose Tissue and Metabolism (22 papers), Cancer, Hypoxia, and Metabolism (16 papers), Autophagy in Disease and Therapy (13 papers), Sirtuins and Resveratrol in Medicine (12 papers), Mitochondrial Function and Pathology (11 papers) and Multiple Myeloma Research and Treatments (11 papers). The work is most often cited by research in Geriatrics and Gerontology (315 citations), Molecular Biology (5.9k citations), Cancer Research (949 citations), Physiology (1.4k citations) and Hematology (621 citations). Jing Liu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Wenyi Wei, Yunhua Peng, Jian Jin, Adrian Salic, Yangqing Xu, C.T. Walsh, H. Ümit Kanıskan, Narla Mohandas, Xiuli An and Jiangang Long. Their work appears in journals such as Journal of the American Chemical Society, Journal of Medicinal Chemistry, Journal of Biological Chemistry, Scientific Reports 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.