Junhua Wu
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Medicine top 1%
- Hydrogels: synthesis, properties, applications
Papers in
-
- Circular RNAs in diseases 6
- Extracellular vesicles in disease 6
-
- MicroRNA in disease regulation 10
- Cancer-related molecular mechanisms research 9
- Cancer, Hypoxia, and Metabolism 7
- Co-authors
- Chunping Jiang (36 shared papers)Yi Cao (10 shared papers)Xiwei Ding (1 shared paper)Bin Xue (7 shared papers)Guang Zhang (15 shared papers)Wei Wang (6 shared papers)Meng Qin (6 shared papers)Junyi Wu (10 shared papers)
- Journals
- Journal of Experimental & Clinical Cancer Research (5 papers)PLoS ONE (4 papers)BioMed Research International (4 papers)Scientific Reports (4 papers)Cancer Medicine (3 papers)
- Partner nations
- ChinaUnited StatesCzechia
In The Last Decade
Junhua Wu
167 papers receiving 5.0k citations
Peers
Comparison fields: 5 of 153
- Cancer Research 938
- Molecular Medicine 328
- Biomaterials 485
- Molecular Biology 2.0k
- Biotechnology 238
Countries citing papers authored by Junhua Wu
This map shows the geographic impact of Junhua 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 Junhua Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junhua Wu more than expected).
Fields of papers citing papers by Junhua Wu
This network shows the impact of papers produced by Junhua 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 Junhua Wu. The network helps show where Junhua Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junhua 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 171 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 265 | |
| 2 | 2020 | 232 | |
| 3 | 2016 | 231 | |
| 4 | 2018 | 197 | |
| 5 | 2014 | 166 | |
| 6 | 2003 | 157 | |
| 7 | 2014 | 138 | |
| 8 | 2016 | 138 | |
| 9 | 2016 | 130 | |
| 10 | 2014 | 125 | |
| 11 | 2016 | 114 | |
| 12 | 2017 | 104 | |
| 13 | 2012 | 88 | |
| 14 | 2018 | 87 | |
| 15 | 2004 | 86 | |
| 16 | 2015 | 78 | |
| 17 | 2014 | 76 | |
| 18 | 2023 | 72 | |
| 19 | 2020 | 69 | |
| 20 | 2016 | 63 |
About Junhua Wu
Junhua Wu is a scholar working on Molecular Biology, Cancer Research, Oncology, Genetics and Immunology, having authored 171 papers that have together received 5.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (13 papers), MicroRNA in disease regulation (10 papers), Cancer-related molecular mechanisms research (9 papers), Cancer, Hypoxia, and Metabolism (7 papers), Cancer Cells and Metastasis (6 papers), Circular RNAs in diseases (6 papers), Extracellular vesicles in disease (6 papers) and Cancer Research and Treatments (6 papers). The work is most often cited by research in Cancer Research (938 citations), Molecular Medicine (328 citations), Biomaterials (485 citations), Molecular Biology (2.0k citations) and Biotechnology (238 citations). Junhua Wu has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Chunping Jiang, Yi Cao, Xiwei Ding, Bin Xue, Guang Zhang, Wei Wang, Meng Qin, Junyi Wu, Dongjun Luo and Zhong‐Xia Wang. Their work appears in journals such as Journal of Experimental & Clinical Cancer Research, PLoS ONE, BioMed Research International, Scientific Reports and Cancer Medicine.
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.