Jun Zhan
Impact in
- Immunology and Allergy top 2%
- Cell Adhesion Molecules Research
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
Papers in
-
- Cell Adhesion Molecules Research 9
- Oncology 14
- Pancreatic and Hepatic Oncology Research 4
- Cancer Cells and Metastasis 3
- Co-authors
- Hongquan Zhang (48 shared papers)Weizhi Xu (9 shared papers)Junhu Wan (6 shared papers)Xueying Li (8 shared papers)Weigang Fang (10 shared papers)Jiagui Song (15 shared papers)Yunling Wang (11 shared papers)Huiying He (6 shared papers)
- Journals
- Science China Life Sciences (6 papers)Cancer Letters (5 papers)FEBS Letters (4 papers)Cell Reports (3 papers)Nature Communications (3 papers)
- Partner nations
- ChinaSwedenUnited States
In The Last Decade
Jun Zhan
59 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 83
- Immunology and Allergy 152
- Cancer Research 310
- Oncology 300
- Molecular Biology 832
- Cell Biology 126
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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 175 | |
| 2 | 2015 | 117 | |
| 3 | 2018 | 110 | |
| 4 | 2021 | 82 | |
| 5 | 2020 | 71 | |
| 6 | 2013 | 70 | |
| 7 | 2016 | 69 | |
| 8 | 2022 | 64 | |
| 9 | 2019 | 55 | |
| 10 | 2014 | 53 | |
| 11 | 2019 | 51 | |
| 12 | 2015 | 49 | |
| 13 | 2019 | 48 | |
| 14 | 2015 | 47 | |
| 15 | 2020 | 46 | |
| 16 | 2016 | 44 | |
| 17 | 2017 | 44 | |
| 18 | 2018 | 44 | |
| 19 | 2021 | 42 | |
| 20 | 2014 | 40 |
About Jun Zhan
Jun Zhan is a scholar working on Immunology and Allergy, Oncology, Cell Biology, Molecular Biology and Cancer Research, having authored 61 papers that have together received 2k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (9 papers), Epigenetics and DNA Methylation (8 papers), Mechanisms of cancer metastasis (5 papers), Hippo pathway signaling and YAP/TAZ (4 papers), Pancreatic and Hepatic Oncology Research (4 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Developmental Biology and Gene Regulation (4 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Immunology and Allergy (152 citations), Cancer Research (310 citations), Oncology (300 citations), Molecular Biology (832 citations) and Cell Biology (126 citations). Jun Zhan has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Hongquan Zhang, Weizhi Xu, Junhu Wan, Xueying Li, Weigang Fang, Jiagui Song, Yunling Wang, Huiying He, Yu Yu and Zhaomei Shi. Their work appears in journals such as Science China Life Sciences, Cancer Letters, FEBS Letters, Cell Reports and Nature Communications.
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.