Xiaoli An
Impact in
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- Protein Structure and Dynamics
- Receptor Mechanisms and Signaling
- RNA and protein synthesis mechanisms
- Prion Diseases and Protein Misfolding
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- Computational Drug Discovery Methods
Papers in
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- Receptor Mechanisms and Signaling 6
- Protein Structure and Dynamics 5
- Prion Diseases and Protein Misfolding 3
- Plant Gene Expression Analysis 2
- Oncology 3
- Co-authors
- Xiaojun Yao (10 shared papers)Huanxiang Liu (9 shared papers)Qifeng Bai (7 shared papers)Zhitong Bing (7 shared papers)Shuangyan Zhou (5 shared papers)Hongli Liu (5 shared papers)Jian Zhang (2 shared papers)Qiancheng Shen (2 shared papers)
In The Last Decade
Xiaoli An
30 papers receiving 433 citations
Peers
Comparison fields: 5 of 87
- Molecular Biology 265
- Computational Theory and Mathematics 67
- Orthodontics 13
- Cancer Research 32
- Pharmacology 34
Countries citing papers authored by Xiaoli An
This map shows the geographic impact of Xiaoli 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 Xiaoli An with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoli An more than expected).
Fields of papers citing papers by Xiaoli An
This network shows the impact of papers produced by Xiaoli 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 Xiaoli An. The network helps show where Xiaoli An may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoli 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 | 2016 | 75 | |
| 2 | 2019 | 43 | |
| 3 | 2023 | 41 | |
| 4 | 2015 | 29 | |
| 5 | 2019 | 23 | |
| 6 | 2019 | 23 | |
| 7 | 2021 | 21 | |
| 8 | 2018 | 20 | |
| 9 | 2017 | 18 | |
| 10 | 2018 | 17 | |
| 11 | 2023 | 16 | |
| 12 | 2020 | 14 | |
| 13 | 2019 | 13 | |
| 14 | 2020 | 12 | |
| 15 | 2020 | 11 | |
| 16 | 2018 | 11 | |
| 17 | 2023 | 9 | |
| 18 | 2017 | 8 | |
| 19 | 2023 | 6 | |
| 20 | 2019 | 5 |
About Xiaoli An
Xiaoli An is a scholar working on Molecular Biology, Oncology, Orthodontics, Plant Science and Cancer Research, having authored 32 papers that have together received 439 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (6 papers), Protein Structure and Dynamics (5 papers), Orthodontics and Dentofacial Orthopedics (3 papers), Prion Diseases and Protein Misfolding (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Cancer-related molecular mechanisms research (2 papers), Plant Gene Expression Analysis (2 papers) and Plant Stress Responses and Tolerance (2 papers). The work is most often cited by research in Molecular Biology (265 citations), Computational Theory and Mathematics (67 citations), Orthodontics (13 citations), Cancer Research (32 citations) and Pharmacology (34 citations). Xiaoli An has collaborated with scholars based in China, Macao and Thailand. Frequent co-authors include Xiaojun Yao, Huanxiang Liu, Qifeng Bai, Zhitong Bing, Shuangyan Zhou, Hongli Liu, Jian Zhang, Qiancheng Shen, Danfeng Shi and Guoqiang Chen. Their work appears in journals such as ACS Chemical Neuroscience, Frontiers in Chemistry, Computational and Structural Biotechnology Journal, Physical Chemistry Chemical Physics and Frontiers in Public Health.
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.