Jun Zhan
Impact in
- Immunology and Allergy top 2%
- Cell Adhesion Molecules Research
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
Papers in
-
- Wnt/β-catenin signaling in development and cancer 10
- Ubiquitin and proteasome pathways 9
- Epigenetics and DNA Methylation 9
- RNA modifications and cancer 7
- Oncology 19
- Cancer Cells and Metastasis 6
- Co-authors
- Hongquan Zhang (47 shared papers)Yani He (4 shared papers)Li-Rong Lin (3 shared papers)Weigang Fang (10 shared papers)Jiagui Song (15 shared papers)Jurong Yang (3 shared papers)Yunling Wang (11 shared papers)Weizhi Xu (8 shared papers)
- Journals
- Science China Life Sciences (6 papers)Cancer Letters (5 papers)FEBS Letters (4 papers)Nucleic Acids Research (3 papers)Frontiers of Medicine (3 papers)
- Partner nations
- ChinaEthiopiaUnited States
In The Last Decade
Jun Zhan
77 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 112
- Immunology and Allergy 291
- Cancer Research 455
- Cell Biology 354
- Molecular Biology 1.3k
- Nephrology 123
Countries citing papers authored by Jun Zhan
This map shows the geographic impact of Jun Zhan'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 Zhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Zhan more than expected).
Fields of papers citing papers by Jun Zhan
This network shows the impact of papers produced by Jun Zhan. 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 Zhan. The network helps show where Jun Zhan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Zhan, 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 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 189 | |
| 2 | 2013 | 164 | |
| 3 | 2015 | 114 | |
| 4 | 2018 | 109 | |
| 5 | 2011 | 79 | |
| 6 | 2021 | 78 | |
| 7 | 1994 | 77 | |
| 8 | 2016 | 71 | |
| 9 | 2013 | 69 | |
| 10 | 2014 | 66 | |
| 11 | 2020 | 60 | |
| 12 | 2011 | 57 | |
| 13 | 2022 | 54 | |
| 14 | 2019 | 53 | |
| 15 | 2014 | 51 | |
| 16 | 2015 | 48 | |
| 17 | 2019 | 46 | |
| 18 | 2020 | 45 | |
| 19 | 2019 | 45 | |
| 20 | 2015 | 45 |
About Jun Zhan
Jun Zhan is a scholar working on Molecular Biology, Oncology, Cell Biology, Immunology and Allergy and Cancer Research, having authored 84 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (18 papers), Wnt/β-catenin signaling in development and cancer (10 papers), Ubiquitin and proteasome pathways (9 papers), Epigenetics and DNA Methylation (9 papers), Hippo pathway signaling and YAP/TAZ (8 papers), Cancer-related molecular mechanisms research (8 papers), RNA modifications and cancer (7 papers) and Cancer Cells and Metastasis (6 papers). The work is most often cited by research in Immunology and Allergy (291 citations), Cancer Research (455 citations), Cell Biology (354 citations), Molecular Biology (1.3k citations) and Nephrology (123 citations). Jun Zhan has collaborated with scholars based in China, Ethiopia and United States. Frequent co-authors include Hongquan Zhang, Yani He, Li-Rong Lin, Weigang Fang, Jiagui Song, Jurong Yang, Yunling Wang, Weizhi Xu, Jian‐Guo Zhang and Junhu Wan. Their work appears in journals such as Science China Life Sciences, Cancer Letters, FEBS Letters, Nucleic Acids Research and Frontiers of 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.