Jun Gan
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Immunology top 10%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Reproductive System and Pregnancy
Papers in
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- Reproductive System and Pregnancy 4
- Immune cells in cancer 2
- Galectins and Cancer Biology 1
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- Ion channel regulation and function 2
- RNA modifications and cancer 2
- Co-authors
- Cheng’en Hu (4 shared papers)Guangjian Huang (5 shared papers)Yongchao Liu (2 shared papers)Wenhong Zhang (2 shared papers)Ruidong Zhang (1 shared paper)Ying Zhang (1 shared paper)Jing Zhao (1 shared paper)Delu Wang (1 shared paper)
- Journals
- Frontiers in Immunology (3 papers)Journal of Neuroscience (2 papers)Acta Pharmacologica Sinica (1 paper)IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (1 paper)International review of cell and molecular biology (1 paper)
- Partner nations
- ChinaUnited StatesCzechia
In The Last Decade
Jun Gan
23 papers receiving 620 citations
Peers
Comparison fields: 5 of 95
- Cancer Research 187
- Immunology 240
- Oncology 99
- Molecular Biology 222
- Obstetrics and Gynecology 17
Countries citing papers authored by Jun Gan
This map shows the geographic impact of Jun Gan'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 Gan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Gan more than expected).
Fields of papers citing papers by Jun Gan
This network shows the impact of papers produced by Jun Gan. 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 Gan. The network helps show where Jun Gan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Gan, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 184 | |
| 2 | 2010 | 134 | |
| 3 | 2022 | 72 | |
| 4 | 2017 | 35 | |
| 5 | 2020 | 32 | |
| 6 | 2014 | 32 | |
| 7 | 2020 | 30 | |
| 8 | 2016 | 22 | |
| 9 | 2019 | 15 | |
| 10 | 2021 | 13 | |
| 11 | 2020 | 13 | |
| 12 | 2022 | 10 | |
| 13 | 2014 | 9 | |
| 14 | p14ARF upregulation of p53 and enhanced effects of 5-fluorouracil in pancreatic cancer. | 2003 | 8 |
| 15 | 2022 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2025 | 1 | |
| 20 | 2024 | 1 |
About Jun Gan
Jun Gan is a scholar working on Immunology, Molecular Biology, Cellular and Molecular Neuroscience, Oncology and Electrical and Electronic Engineering, having authored 24 papers that have together received 625 indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Immune cells in cancer (2 papers), Ion channel regulation and function (2 papers), RNA modifications and cancer (2 papers), Cancer-related molecular mechanisms research (2 papers), Cardiac electrophysiology and arrhythmias (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Cancer Research (187 citations), Immunology (240 citations), Oncology (99 citations), Molecular Biology (222 citations) and Obstetrics and Gynecology (17 citations). Jun Gan has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Cheng’en Hu, Guangjian Huang, Yongchao Liu, Wenhong Zhang, Ruidong Zhang, Ying Zhang, Jing Zhao, Delu Wang, Lan Yu and Jinqi Mao. Their work appears in journals such as Frontiers in Immunology, Journal of Neuroscience, Acta Pharmacologica Sinica, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and International review of cell and molecular biology.
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.