Mailin Gan
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Animal Science and Zoology top 5%
- Meat and Animal Product Quality
Papers in
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- Circular RNAs in diseases 15
- RNA modifications and cancer 12
- RNA Research and Splicing 9
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- Cancer-related molecular mechanisms research 25
- MicroRNA in disease regulation 24
- Co-authors
- Shunhua Zhang (58 shared papers)Linyuan Shen (82 shared papers)Li Zhu (48 shared papers)Xuewei Li (32 shared papers)Jinyong Wang (23 shared papers)Lili Niu (31 shared papers)Yanzhi Jiang (16 shared papers)Ye Zhao (24 shared papers)
In The Last Decade
Mailin Gan
78 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 97
- Cancer Research 427
- Animal Science and Zoology 106
- Molecular Biology 665
- Physiology 178
- Geriatrics and Gerontology 21
Countries citing papers authored by Mailin Gan
This map shows the geographic impact of Mailin 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 Mailin Gan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mailin Gan more than expected).
Fields of papers citing papers by Mailin Gan
This network shows the impact of papers produced by Mailin 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 Mailin Gan. The network helps show where Mailin Gan may publish in the future.
Co-authors
The 25 scholars most cited alongside Mailin 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 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 59 | |
| 2 | 2018 | 57 | |
| 3 | 2018 | 49 | |
| 4 | 2020 | 46 | |
| 5 | 2019 | 41 | |
| 6 | 2018 | 39 | |
| 7 | 2019 | 34 | |
| 8 | 2018 | 32 | |
| 9 | 2023 | 32 | |
| 10 | 2023 | 30 | |
| 11 | 2023 | 28 | |
| 12 | 2024 | 28 | |
| 13 | 2019 | 28 | |
| 14 | 2018 | 27 | |
| 15 | 2019 | 27 | |
| 16 | 2023 | 25 | |
| 17 | 2018 | 25 | |
| 18 | 2022 | 21 | |
| 19 | 2023 | 20 | |
| 20 | 2022 | 20 |
About Mailin Gan
Mailin Gan is a scholar working on Molecular Biology, Cancer Research, Animal Science and Zoology, Genetics and Physiology, having authored 88 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (25 papers), MicroRNA in disease regulation (24 papers), Circular RNAs in diseases (15 papers), RNA modifications and cancer (12 papers), Adipose Tissue and Metabolism (10 papers), RNA Research and Splicing (9 papers), Animal Nutrition and Physiology (8 papers) and Meat and Animal Product Quality (8 papers). The work is most often cited by research in Cancer Research (427 citations), Animal Science and Zoology (106 citations), Molecular Biology (665 citations), Physiology (178 citations) and Geriatrics and Gerontology (21 citations). Mailin Gan has collaborated with scholars based in China, India and Estonia. Frequent co-authors include Shunhua Zhang, Linyuan Shen, Li Zhu, Xuewei Li, Jinyong Wang, Lili Niu, Yanzhi Jiang, Ye Zhao, Guoqing Tang and Lei Chen. Their work appears in journals such as International Journal of Molecular Sciences, Animals, International Journal of Biological Macromolecules, Frontiers in Microbiology and Genes.
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.