Jun Zhou
Impact in
- Cell Biology top 0.5%
- Microtubule and mitosis dynamics
- Molecular Biology top 1%
- Ubiquitin and proteasome pathways
- Histone Deacetylase Inhibitors Research
- Epigenetics and DNA Methylation
- Cancer therapeutics and mechanisms
- Protein Degradation and Inhibitors
Papers in
-
- Ubiquitin and proteasome pathways 39
- Histone Deacetylase Inhibitors Research 21
- Epigenetics and DNA Methylation 18
- Protein Degradation and Inhibitors 11
- Cell Biology 73
- Microtubule and mitosis dynamics 62
- Cellular transport and secretion 9
- Co-authors
- Dengwen Li (75 shared papers)Paraskevi Giannakakou (6 shared papers)Harish C. Joshi (16 shared papers)Ritu Aneja (24 shared papers)Min Liu (52 shared papers)Min Liu (17 shared papers)Songbo Xie (36 shared papers)Jie Ran (20 shared papers)
- Journals
- Journal of Biological Chemistry (14 papers)The Journal of Pathology (8 papers)Cancer Research (7 papers)Protein & Cell (6 papers)Theranostics (6 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Jun Zhou
186 papers receiving 6.9k citations
Jun Zhou's Hit Papers
Peers
Comparison fields: 5 of 140
- Cell Biology 1.8k
- Molecular Biology 4.5k
- Oncology 1.5k
- Cancer Research 601
- Toxicology 108
Countries citing papers authored by Jun Zhou
This map shows the geographic impact of Jun Zhou'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 Jun Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Zhou more than expected).
Fields of papers citing papers by Jun Zhou
This network shows the impact of papers produced by Jun Zhou. 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 Jun Zhou. The network helps show where Jun Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Zhou, 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 192 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 381 | |
| 2 | 2011 | 311 | |
| 3 | Dynamic O-GlcNAcylation coordinates ferritinophagy and mitophagy to activate ferroptosis Hit paper breakdown → | 2022 | 205 |
| 4 | 2017 | 174 | |
| 5 | 2012 | 173 | |
| 6 | 2003 | 158 | |
| 7 | 2003 | 151 | |
| 8 | 2002 | 134 | |
| 9 | 2002 | 127 | |
| 10 | 2015 | 125 | |
| 11 | 2002 | 124 | |
| 12 | 2005 | 121 | |
| 13 | 2008 | 112 | |
| 14 | 2015 | 104 | |
| 15 | 2009 | 102 | |
| 16 | 2006 | 99 | |
| 17 | 2014 | 97 | |
| 18 | 2005 | 94 | |
| 19 | 2014 | 88 | |
| 20 | 2018 | 82 |
About Jun Zhou
Jun Zhou is a scholar working on Molecular Biology, Cell Biology, Oncology, Genetics and Cancer Research, having authored 192 papers that have together received 7.0k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (62 papers), Ubiquitin and proteasome pathways (39 papers), Histone Deacetylase Inhibitors Research (21 papers), Cancer-related Molecular Pathways (19 papers), Epigenetics and DNA Methylation (18 papers), Genetic and Kidney Cyst Diseases (16 papers), Protein Degradation and Inhibitors (11 papers) and Cellular transport and secretion (9 papers). The work is most often cited by research in Cell Biology (1.8k citations), Molecular Biology (4.5k citations), Oncology (1.5k citations), Cancer Research (601 citations) and Toxicology (108 citations). Jun Zhou has collaborated with scholars based in China, United States and India. Frequent co-authors include Dengwen Li, Paraskevi Giannakakou, Harish C. Joshi, Ritu Aneja, Min Liu, Min Liu, Songbo Xie, Jie Ran, Yunfan Yang and Jinmin Gao. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Pathology, Cancer Research, Protein & Cell and Theranostics.
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.