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 6
- RNA modifications and cancer 5
- Epigenetics and DNA Methylation 4
- FOXO transcription factor regulation 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)Tingting Zhang (2 shared papers)
- Journals
- Cell Death and Disease (3 papers)Oncotarget (2 papers)Advanced Science (2 papers)Autophagy (2 papers)Cellular Signalling (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Mingxi Gan
23 papers receiving 712 citations
Peers
Comparison fields: 5 of 80
- Cancer Research 215
- Immunology 143
- Molecular Biology 401
- Oncology 113
- Geriatrics and Gerontology 12
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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 109 | |
| 2 | 2018 | 91 | |
| 3 | 2018 | 52 | |
| 4 | 2016 | 52 | |
| 5 | 2023 | 46 | |
| 6 | 2015 | 44 | |
| 7 | 2016 | 43 | |
| 8 | 2020 | 40 | |
| 9 | 2024 | 39 | |
| 10 | 2019 | 33 | |
| 11 | GRHL2 suppresses tumor metastasis via regulation of transcriptional activity of RhoG in non-small cell lung cancer. | 2017 | 25 |
| 12 | 2022 | 24 | |
| 13 | 2022 | 23 | |
| 14 | 2021 | 15 | |
| 15 | 2022 | 13 | |
| 16 | 2022 | 12 | |
| 17 | 2023 | 11 | |
| 18 | 2021 | 10 | |
| 19 | 2014 | 9 | |
| 20 | 2022 | 8 |
About Mingxi Gan
Mingxi Gan is a scholar working on Molecular Biology, Cancer Research, Oncology, Epidemiology and Cell Biology, having authored 23 papers that have together received 714 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (8 papers), Ubiquitin and proteasome pathways (6 papers), RNA modifications and cancer (5 papers), Microtubule and mitosis dynamics (4 papers), Cancer-related Molecular Pathways (4 papers), Epigenetics and DNA Methylation (4 papers), Autophagy in Disease and Therapy (4 papers) and FOXO transcription factor regulation (2 papers). The work is most often cited by research in Cancer Research (215 citations), Immunology (143 citations), Molecular Biology (401 citations), Oncology (113 citations) and Geriatrics and Gerontology (12 citations). Mingxi Gan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Tianyu Han, Jianbin Wang, Caifeng Xie, Weihua Zhan, Bentong Yu, Meng Guo, Xiao‐Li Tian, Tingting Zhang, Mingui Fu and Yanan Wang. Their work appears in journals such as Cell Death and Disease, Oncotarget, Advanced Science, Autophagy and Cellular Signalling.
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.