Mingxi Gan
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
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- interferon and immune responses
Papers in
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- Ubiquitin and proteasome pathways 7
- RNA modifications and cancer 6
- Epigenetics and DNA Methylation 4
- Metabolism, Diabetes, and Cancer 2
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- Cancer, Hypoxia, and Metabolism 8
- Co-authors
- Tianyu Han (22 shared papers)Jianbin Wang (19 shared papers)Caifeng Xie (6 shared papers)Weihua Zhan (5 shared papers)Bentong Yu (6 shared papers)Meng Guo (3 shared papers)Xiao‐Li Tian (1 shared paper)Mingui Fu (1 shared paper)
- Journals
- Cell Death and Disease (3 papers)Autophagy (2 papers)Oncotarget (2 papers)Cellular Signalling (2 papers)iScience (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Mingxi Gan
22 papers receiving 646 citations
Peers
Comparison fields: 5 of 70
- Cancer Research 236
- Immunology 158
- Molecular Biology 461
- Oncology 136
- Geriatrics and Gerontology 14
Countries citing papers authored by Mingxi Gan
This map shows the geographic impact of Mingxi 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 Mingxi Gan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingxi Gan more than expected).
Fields of papers citing papers by Mingxi Gan
This network shows the impact of papers produced by Mingxi 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 Mingxi Gan. The network helps show where Mingxi Gan may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingxi 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 108 | |
| 2 | 2018 | 89 | |
| 3 | 2016 | 51 | |
| 4 | 2018 | 50 | |
| 5 | 2015 | 43 | |
| 6 | 2023 | 41 | |
| 7 | 2016 | 40 | |
| 8 | 2020 | 39 | |
| 9 | 2019 | 32 | |
| 10 | GRHL2 suppresses tumor metastasis via regulation of transcriptional activity of RhoG in non-small cell lung cancer. | 2017 | 25 |
| 11 | 2022 | 22 | |
| 12 | 2022 | 21 | |
| 13 | 2022 | 13 | |
| 14 | 2021 | 13 | |
| 15 | 2022 | 11 | |
| 16 | 2023 | 10 | |
| 17 | 2021 | 10 | |
| 18 | 2014 | 9 | |
| 19 | 2022 | 7 | |
| 20 | 2024 | 6 |
About Mingxi Gan
Mingxi Gan is a scholar working on Molecular Biology, Cancer Research, Oncology, Epidemiology and Cell Biology, having authored 22 papers that have together received 648 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (8 papers), Ubiquitin and proteasome pathways (7 papers), RNA modifications and cancer (6 papers), Autophagy in Disease and Therapy (5 papers), Epigenetics and DNA Methylation (4 papers), Microtubule and mitosis dynamics (4 papers), Cancer-related Molecular Pathways (4 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Cancer Research (236 citations), Immunology (158 citations), Molecular Biology (461 citations), Oncology (136 citations) and Geriatrics and Gerontology (14 citations). Mingxi Gan has collaborated with scholars based in China and United States. Frequent co-authors include Tianyu Han, Jianbin Wang, Caifeng Xie, Weihua Zhan, Bentong Yu, Meng Guo, Xiao‐Li Tian, Mingui Fu, Tingting Zhang and Ke‐Yu Deng. Their work appears in journals such as Cell Death and Disease, Autophagy, Oncotarget, Cellular Signalling and iScience.
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.