Qi An
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Circular RNAs in diseases
- RNA modifications and cancer
- Ubiquitin and proteasome pathways
Papers in
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- RNA Research and Splicing 3
- Signaling Pathways in Disease 2
- RNA modifications and cancer 2
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- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 3
- Co-authors
- Youfu Luo (3 shared papers)Tao Yang (2 shared papers)Juan He (1 shared paper)Wenliang Qiao (1 shared paper)Chungen Li (2 shared papers)Wenzhuo Jia (3 shared papers)Yao Chen (1 shared paper)Jin‐Ling Huo (3 shared papers)
- Journals
- European Journal of Medicinal Chemistry (4 papers)Journal of Clinical Oncology (2 papers)Journal of Medicinal Chemistry (2 papers)Experimental Neurology (1 paper)Infection and Drug Resistance (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Qi An
28 papers receiving 447 citations
Peers
Comparison fields: 5 of 88
- Cancer Research 112
- Molecular Biology 267
- Molecular Medicine 16
- Applied Microbiology and Biotechnology 5
- Organic Chemistry 66
Countries citing papers authored by Qi An
This map shows the geographic impact of Qi An'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 Qi An with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qi An more than expected).
Fields of papers citing papers by Qi An
This network shows the impact of papers produced by Qi An. 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 Qi An. The network helps show where Qi An may publish in the future.
Co-authors
The 25 scholars most cited alongside Qi An, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 74 | |
| 2 | 2021 | 40 | |
| 3 | 2020 | 39 | |
| 4 | 2020 | 32 | |
| 5 | 2018 | 28 | |
| 6 | 2021 | 22 | |
| 7 | 2022 | 22 | |
| 8 | 2021 | 20 | |
| 9 | 2023 | 19 | |
| 10 | 2024 | 16 | |
| 11 | 2022 | 16 | |
| 12 | 2018 | 14 | |
| 13 | 2019 | 12 | |
| 14 | 2021 | 12 | |
| 15 | 2019 | 10 | |
| 16 | 2024 | 9 | |
| 17 | 2020 | 8 | |
| 18 | 2023 | 8 | |
| 19 | 2023 | 7 | |
| 20 | 2020 | 7 |
About Qi An
Qi An is a scholar working on Molecular Biology, Cancer Research, Oncology, Surgery and Epidemiology, having authored 32 papers that have together received 450 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), RNA Research and Splicing (3 papers), Peptidase Inhibition and Analysis (3 papers), Mast cells and histamine (3 papers), Cancer-related molecular mechanisms research (3 papers), Signaling Pathways in Disease (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (112 citations), Molecular Biology (267 citations), Molecular Medicine (16 citations), Applied Microbiology and Biotechnology (5 citations) and Organic Chemistry (66 citations). Qi An has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Youfu Luo, Tao Yang, Juan He, Wenliang Qiao, Chungen Li, Wenzhuo Jia, Yao Chen, Jin‐Ling Huo, Yong Deng and Wen Zhao. Their work appears in journals such as European Journal of Medicinal Chemistry, Journal of Clinical Oncology, Journal of Medicinal Chemistry, Experimental Neurology and Infection and Drug Resistance.
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.