Yaqi Gan
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Lipids, and Metabolism
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- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Circular RNAs in diseases
- Cancer-related gene regulation
Papers in
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- Epigenetics and DNA Methylation 5
- Cancer-related gene regulation 5
- RNA modifications and cancer 2
- Histone Deacetylase Inhibitors Research 1
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- MicroRNA in disease regulation 2
- Co-authors
- Gang Yin (10 shared papers)Guang Shu (9 shared papers)Yimin Li (9 shared papers)Qing Xiao (7 shared papers)Ruotong Tian (4 shared papers)Jiaxin Liu (6 shared papers)Tong Li (1 shared paper)Juanni Li (2 shared papers)
- Journals
- Oncogene (2 papers)Cell Cycle (1 paper)Cell Death and Disease (1 paper)Frontiers in Cell and Developmental Biology (1 paper)BMC Cancer (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Yaqi Gan
10 papers receiving 357 citations
Peers
Comparison fields: 5 of 58
- Cancer Research 173
- Molecular Biology 280
- Pulmonary and Respiratory Medicine 80
- Oncology 61
- Pathology and Forensic Medicine 27
Countries citing papers authored by Yaqi Gan
This map shows the geographic impact of Yaqi 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 Yaqi Gan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaqi Gan more than expected).
Fields of papers citing papers by Yaqi Gan
This network shows the impact of papers produced by Yaqi 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 Yaqi Gan. The network helps show where Yaqi Gan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yaqi 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
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 112 | |
| 2 | 2018 | 78 | |
| 3 | 2021 | 39 | |
| 4 | 2019 | 38 | |
| 5 | 2020 | 28 | |
| 6 | 2020 | 27 | |
| 7 | 2019 | 16 | |
| 8 | 2022 | 9 | |
| 9 | 2022 | 8 | |
| 10 | 2021 | 5 |
About Yaqi Gan
Yaqi Gan is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Oncology and Pulmonary and Respiratory Medicine, having authored 10 papers that have together received 360 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (5 papers), Cancer-related gene regulation (5 papers), MicroRNA in disease regulation (2 papers), Genetic factors in colorectal cancer (2 papers), RNA modifications and cancer (2 papers), Chemokine receptors and signaling (1 paper), Histone Deacetylase Inhibitors Research (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Cancer Research (173 citations), Molecular Biology (280 citations), Pulmonary and Respiratory Medicine (80 citations), Oncology (61 citations) and Pathology and Forensic Medicine (27 citations). Yaqi Gan has collaborated with scholars based in China and United States. Frequent co-authors include Gang Yin, Guang Shu, Yimin Li, Qing Xiao, Ruotong Tian, Jiaxin Liu, Tong Li, Juanni Li, Zhengwei Zhou and Yulong Peng. Their work appears in journals such as Oncogene, Cell Cycle, Cell Death and Disease, Frontiers in Cell and Developmental Biology and BMC Cancer.
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.