Wenxia Su
Impact in
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- Magnetic and transport properties of perovskites and related materials
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- Advanced Condensed Matter Physics
Papers in
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- RNA and protein synthesis mechanisms 3
- Machine Learning in Bioinformatics 3
- Genomics and Chromatin Dynamics 3
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- Perovskite Materials and Applications 3
- Advanced battery technologies research 3
- Co-authors
- Yongchun Zuo (5 shared papers)Qian‐Zhong Li (6 shared papers)Wenli Liu (2 shared papers)Wen Jin (3 shared papers)Haiming Lu (3 shared papers)Lifang Huang (1 shared paper)Youwei Du (6 shared papers)Fankai Meng (1 shared paper)
In The Last Decade
Wenxia Su
26 papers receiving 349 citations
Peers
Comparison fields: 5 of 67
- Electronic, Optical and Magnetic Materials 62
- Condensed Matter Physics 30
- Genetics 24
- Molecular Biology 136
- Hematology 20
Countries citing papers authored by Wenxia Su
This map shows the geographic impact of Wenxia Su'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 Wenxia Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenxia Su more than expected).
Fields of papers citing papers by Wenxia Su
This network shows the impact of papers produced by Wenxia Su. 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 Wenxia Su. The network helps show where Wenxia Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Wenxia Su, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 44 | |
| 2 | 2017 | 43 | |
| 3 | 2012 | 41 | |
| 4 | 2021 | 35 | |
| 5 | 2015 | 35 | |
| 6 | 2012 | 18 | |
| 7 | 2024 | 16 | |
| 8 | 2021 | 15 | |
| 9 | 2018 | 15 | |
| 10 | 2019 | 14 | |
| 11 | 2015 | 11 | |
| 12 | 2016 | 11 | |
| 13 | 2016 | 8 | |
| 14 | 2023 | 6 | |
| 15 | 2017 | 6 | |
| 16 | 2020 | 6 | |
| 17 | 2024 | 4 | |
| 18 | 2021 | 4 | |
| 19 | 2019 | 4 | |
| 20 | 2024 | 4 |
About Wenxia Su
Wenxia Su is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Materials Chemistry, Electronic, Optical and Magnetic Materials and Condensed Matter Physics, having authored 27 papers that have together received 353 indexed citations. Recurring topics across this work include Magnetic and transport properties of perovskites and related materials (5 papers), RNA and protein synthesis mechanisms (3 papers), Machine Learning in Bioinformatics (3 papers), Perovskite Materials and Applications (3 papers), Advanced battery technologies research (3 papers), Genomics and Chromatin Dynamics (3 papers), 2D Materials and Applications (2 papers) and Advanced Photocatalysis Techniques (2 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (62 citations), Condensed Matter Physics (30 citations), Genetics (24 citations), Molecular Biology (136 citations) and Hematology (20 citations). Wenxia Su has collaborated with scholars based in China, Belgium and Czechia. Frequent co-authors include Yongchun Zuo, Qian‐Zhong Li, Wenli Liu, Wen Jin, Haiming Lu, Lifang Huang, Youwei Du, Fankai Meng, Dunhui Wang and Shanshan Wang. Their work appears in journals such as Gene, Frontiers in Genetics, DNA and Cell Biology, Physical Chemistry Chemical Physics and Advanced Materials.
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.