Xinxing Wu
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
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- Protein Degradation and Inhibitors
- Histone Deacetylase Inhibitors Research
- Epigenetics and DNA Methylation
- Ubiquitin and proteasome pathways
- RNA Research and Splicing
- RNA modifications and cancer
- RNA regulation and disease
Papers in
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- RNA Research and Splicing 3
- Molecular Biology Techniques and Applications 3
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- Cervical Cancer and HPV Research 6
- Co-authors
- Li Duan (4 shared papers)Jun Yao (4 shared papers)Hui Li (1 shared paper)L-F Chen (1 shared paper)Zhenhua Zou (1 shared paper)Bin Huang (1 shared paper)S.K. Nair (1 shared paper)Jun Qi (1 shared paper)
- Journals
- International Journal of Gynecological Cancer (2 papers)PLoS ONE (2 papers)Alzheimer s & Dementia (2 papers)Biochemical and Biophysical Research Communications (2 papers)The FASEB Journal (1 paper)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Xinxing Wu
46 papers receiving 874 citations
Peers
Comparison fields: 5 of 111
- Hematology 86
- Molecular Biology 543
- Cancer Research 95
- Computational Mathematics 4
- Immunology 116
Countries citing papers authored by Xinxing Wu
This map shows the geographic impact of Xinxing 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 Xinxing Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinxing Wu more than expected).
Fields of papers citing papers by Xinxing Wu
This network shows the impact of papers produced by Xinxing 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 Xinxing Wu. The network helps show where Xinxing Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xinxing 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 210 | |
| 2 | 2004 | 75 | |
| 3 | 2006 | 59 | |
| 4 | 2017 | 43 | |
| 5 | 2007 | 41 | |
| 6 | 2007 | 40 | |
| 7 | 2006 | 39 | |
| 8 | 2011 | 34 | |
| 9 | 2010 | 33 | |
| 10 | 2009 | 33 | |
| 11 | 2022 | 28 | |
| 12 | 2013 | 27 | |
| 13 | 2017 | 24 | |
| 14 | 2024 | 21 | |
| 15 | 2009 | 20 | |
| 16 | 2006 | 18 | |
| 17 | 2019 | 18 | |
| 18 | 2014 | 14 | |
| 19 | 2016 | 14 | |
| 20 | 2021 | 14 |
About Xinxing Wu
Xinxing Wu is a scholar working on Molecular Biology, Epidemiology, Immunology, Oncology and Artificial Intelligence, having authored 47 papers that have together received 888 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (6 papers), Cancer-related Molecular Pathways (4 papers), NF-κB Signaling Pathways (4 papers), RNA Research and Splicing (3 papers), Bladder and Urothelial Cancer Treatments (3 papers), Immune Response and Inflammation (3 papers), Molecular Biology Techniques and Applications (3 papers) and Nitric Oxide and Endothelin Effects (2 papers). The work is most often cited by research in Hematology (86 citations), Molecular Biology (543 citations), Cancer Research (95 citations), Computational Mathematics (4 citations) and Immunology (116 citations). Xinxing Wu has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Li Duan, Jun Yao, Hui Li, L-F Chen, Zhenhua Zou, Bin Huang, S.K. Nair, Jun Qi, H Zhang and James E. Bradner. Their work appears in journals such as International Journal of Gynecological Cancer, PLoS ONE, Alzheimer s & Dementia, Biochemical and Biophysical Research Communications and The FASEB Journal.
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.