Yanxia Wu
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
- Vibrio bacteria research studies
- Escherichia coli research studies
Papers in
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- RNA Research and Splicing 3
- RNA Interference and Gene Delivery 2
- Single-cell and spatial transcriptomics 2
- RNA modifications and cancer 2
-
- Antibiotic Resistance in Bacteria 3
- Co-authors
- Kim Lewis (2 shared papers)Iris Keren (2 shared papers)Julio Inocencio (1 shared paper)Lawrence Mulcahy (1 shared paper)Marin Vulić (1 shared paper)Zhen‐Zhen Xue (1 shared paper)Laurent Briollais (1 shared paper)Craig E. Pennell (1 shared paper)
- Journals
- BMC Microbiology (1 paper)The FASEB Journal (1 paper)Journal of Tropical Medicine (1 paper)Chemico-Biological Interactions (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Yanxia Wu
35 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 118
- Molecular Medicine 280
- Endocrinology 115
- Genetics 293
- Microbiology 42
- Molecular Biology 453
Countries citing papers authored by Yanxia Wu
This map shows the geographic impact of Yanxia Wu'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 Yanxia Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanxia Wu more than expected).
Fields of papers citing papers by Yanxia Wu
This network shows the impact of papers produced by Yanxia Wu. 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 Yanxia Wu. The network helps show where Yanxia Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanxia Wu, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 417 | |
| 2 | 2012 | 214 | |
| 3 | 2015 | 91 | |
| 4 | 2007 | 46 | |
| 5 | 2019 | 32 | |
| 6 | 2017 | 31 | |
| 7 | 2015 | 26 | |
| 8 | 2020 | 24 | |
| 9 | 2013 | 22 | |
| 10 | 2016 | 17 | |
| 11 | 2018 | 16 | |
| 12 | 2016 | 15 | |
| 13 | 2012 | 13 | |
| 14 | 2008 | 12 | |
| 15 | 2018 | 11 | |
| 16 | 2018 | 10 | |
| 17 | 2015 | 10 | |
| 18 | 2017 | 10 | |
| 19 | 2023 | 9 | |
| 20 | 2024 | 5 |
About Yanxia Wu
Yanxia Wu is a scholar working on Molecular Biology, Molecular Medicine, Genetics, Infectious Diseases and Ecology, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (3 papers), RNA Research and Splicing (3 papers), Hepatitis B Virus Studies (2 papers), RNA Interference and Gene Delivery (2 papers), Single-cell and spatial transcriptomics (2 papers), Hepatitis C virus research (2 papers), Bacteriophages and microbial interactions (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Molecular Medicine (280 citations), Endocrinology (115 citations), Genetics (293 citations), Microbiology (42 citations) and Molecular Biology (453 citations). Yanxia Wu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Kim Lewis, Iris Keren, Julio Inocencio, Lawrence Mulcahy, Marin Vulić, Zhen‐Zhen Xue, Laurent Briollais, Craig E. Pennell, Nicole M. Warrington and Laura D Howe. Their work appears in journals such as BMC Microbiology, The FASEB Journal, Journal of Tropical Medicine, Chemico-Biological Interactions and Scientific Reports.
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.