Weiqing Wu
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Antibiotic Resistance in Bacteria
Papers in
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- Kruppel-like factors research 3
- Congenital heart defects research 2
- Genetics 13
- Genomic variations and chromosomal abnormalities 4
- Connective tissue disorders research 3
- Co-authors
- Min Zhao (1 shared paper)Jiansheng Xie (10 shared papers)Yingying Kou (1 shared paper)Peining Li (6 shared papers)Fang Xu (2 shared papers)Natália Buza (1 shared paper)Pei Hui (1 shared paper)Jiansheng Xie (13 shared papers)
- Journals
- Reproductive BioMedicine Online (3 papers)Molecular Cytogenetics (3 papers)Clinica Chimica Acta (2 papers)Frontiers in Pharmacology (2 papers)Frontiers in Immunology (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Weiqing Wu
58 papers receiving 572 citations
Peers
Comparison fields: 5 of 81
- Cancer Research 111
- Molecular Medicine 31
- Obstetrics and Gynecology 33
- Reproductive Medicine 36
- Genetics 40
Countries citing papers authored by Weiqing Wu
This map shows the geographic impact of Weiqing 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 Weiqing Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiqing Wu more than expected).
Fields of papers citing papers by Weiqing Wu
This network shows the impact of papers produced by Weiqing 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 Weiqing Wu. The network helps show where Weiqing Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiqing 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 53 | |
| 2 | 2014 | 39 | |
| 3 | 2019 | 36 | |
| 4 | 2015 | 34 | |
| 5 | 2018 | 34 | |
| 6 | 2020 | 33 | |
| 7 | 2014 | 29 | |
| 8 | 2019 | 25 | |
| 9 | 2017 | 24 | |
| 10 | 2022 | 22 | |
| 11 | 2013 | 19 | |
| 12 | 2024 | 19 | |
| 13 | 2021 | 15 | |
| 14 | 2019 | 13 | |
| 15 | 2020 | 13 | |
| 16 | 2022 | 12 | |
| 17 | [A study on the association of MTHFR C677T polymorphism with genetic susceptibility to hepatocellular carcinoma]. | 2006 | 12 |
| 18 | 2011 | 9 | |
| 19 | 2017 | 8 | |
| 20 | 2017 | 8 |
About Weiqing Wu
Weiqing Wu is a scholar working on Molecular Biology, Genetics, Oncology, Cancer Research and Genetics, having authored 62 papers that have together received 580 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (4 papers), Kruppel-like factors research (3 papers), Prenatal Screening and Diagnostics (3 papers), Connective tissue disorders research (3 papers), Cell Adhesion Molecules Research (3 papers), Vibrio bacteria research studies (2 papers), Congenital heart defects research (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Cancer Research (111 citations), Molecular Medicine (31 citations), Obstetrics and Gynecology (33 citations), Reproductive Medicine (36 citations) and Genetics (40 citations). Weiqing Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Min Zhao, Jiansheng Xie, Yingying Kou, Peining Li, Fang Xu, Natália Buza, Pei Hui, Jiansheng Xie, Zhi‐Hong Xian and Wen‐Ming Cong. Their work appears in journals such as Reproductive BioMedicine Online, Molecular Cytogenetics, Clinica Chimica Acta, Frontiers in Pharmacology and Frontiers in Immunology.
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.