Guang Wu
- Infectious Diseases top 5%
- Oncology top 10%
- Animal Science and Zoology top 2%
- Electrical and Electronic Engineering
- Molecular Biology
- Co-authors
- David WangGregory A. StorchAnne M. GaynorTheo P. SlootsStephen B. LambertMichael D. NissenIan M MackayDaniel C. Brennan
- Topics
- Animal Virus Infections Studies (4 papers)Plant Virus Research Studies (4 papers)Virus-based gene therapy research (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Guang Wu
25 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Infectious Diseases 533
- Oncology 436
- Animal Science and Zoology 326
- Electrical and Electronic Engineering 311
- Molecular Biology 272
Countries citing papers authored by Guang Wu
This map shows the geographic impact of Guang 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 Guang Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guang Wu more than expected).
Fields of papers citing papers by Guang Wu
This network shows the impact of papers produced by Guang 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 Guang Wu. The network helps show where Guang Wu may publish in the future.
Co-authorship network of co-authors of Guang Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Guang Wu. A scholar is included among the top collaborators of Guang 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 Guang Wu. Guang 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 | 8 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 11 | |
| 7 | 38 | |
| 8 | 103 | |
| 9 | 46 | |
| 10 | 1 | |
| 11 | 37 | |
| 12 | 13 | |
| 13 | 25 | |
| 14 | 4 | |
| 15 | 286 | |
| 16 | 3 | |
| 17 | 106 | |
| 18 | 184 | |
| 19 | Identification of a Novel Polyomavirus from Patients with Acute Respiratory Tract Infectionsbreakdown → | 503 |
| 20 | [Anti-HBV effects of genetically engineered replication-defective HBV with combined expression of antisense RNA and dominant negative mutants of core protein and construction of first-generation packaging cell line for HBV vector]. | 1 |
About Guang Wu
Guang Wu is a scholar working on Aging, Animal Science and Zoology and Pollution, having authored 29 papers that have together received 1.5k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (4 papers), Plant Virus Research Studies (4 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Aging (164 citations), Animal Science and Zoology (326 citations) and Infectious Diseases (533 citations). Guang Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include David Wang, Gregory A. Storch, Anne M. Gaynor, Theo P. Sloots, Stephen B. Lambert, Michael D. Nissen, Ian M Mackay, Daniel C. Brennan, David M. Whiley and Guoyan Zhao. Their work appears in journals such as Applied and Environmental Microbiology, Journal of Hazardous Materials and Journal of Virology.
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.