Hua Wu
- Molecular Biology
- Genetics top 10%
- Ecology top 10%
- Geophysics top 5%
- Global and Planetary Change top 10%
- Topics
- Amphibian and Reptile Biology (18 papers)Animal Behavior and Reproduction (17 papers)Genetic diversity and population structure (17 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Hua Wu
85 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 121
- Molecular Biology 290
- Genetics 277
- Ecology 236
- Geophysics 231
- Global and Planetary Change 183
Countries citing papers authored by Hua Wu
This map shows the geographic impact of Hua 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 Hua Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hua Wu more than expected).
Fields of papers citing papers by Hua Wu
This network shows the impact of papers produced by Hua 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 Hua Wu. The network helps show where Hua Wu may publish in the future.
Co-authorship network of co-authors of Hua Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Hua Wu. A scholar is included among the top collaborators of Hua Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hua Wu. Hua Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 14 | |
| 6 | 6 | |
| 7 | 9 | |
| 8 | 4 | |
| 9 | 36 | |
| 10 | 74 | |
| 11 | 113 | |
| 12 | 39 | |
| 13 | 27 | |
| 14 | 04. Sperm traits in relation to male amplexus position in the Omei treefrog Rhacophorus omeimontis , a species with group spawning | 7 |
| 15 | Detection of the floR Genes in Florfenicol-resistant Escherichia coli Isolated from Diseased Ducks | 2 |
| 16 | Analysis of Incompatible Groups of Plasmids in Duck-derived Escherichia coli Carrying Tetracycline Resistant Genes | 1 |
| 17 | Detection and differentiation of three types of equine herpesviruses by multiplex PCR | 0 |
| 18 | Age of the Baishiqun Mafic-Ultramafic Complex, Hami, Xinjiang and Its Geological Significance | 45 |
| 19 | A Preliminary Study on Habitat Use of Sichuan Takin in Spring and Winter | 3 |
| 20 | Habitat Selection by Long-tailed Goral in Spring and Winter | 1 |
About Hua Wu
Hua Wu is a scholar working on Molecular Medicine, Genetics and Global and Planetary Change, having authored 86 papers that have together received 1.3k indexed citations. Recurring topics across this work include Amphibian and Reptile Biology (18 papers), Animal Behavior and Reproduction (17 papers) and Genetic diversity and population structure (17 papers). The work is most often cited by research in Molecular Medicine (157 citations), Ecological Modeling (125 citations) and Geophysics (231 citations). Hua Wu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Mian Zhao, Zhenhua Luo, Junsong Xiao, Shichao Wei, Jun Li, Imam Hossen, Yushan Pan, Gongzheng Hu, Li Yuan and Duoxia Xu. Their work appears in journals such as Nature Communications, Scientific Reports and Genome Research.
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.