Wu Xiao
- Genetics top 5%
- Molecular Biology
- Infectious Diseases
- Cardiology and Cardiovascular Medicine
- Oncology
- Co-authors
- Jeff HughesNicholas MuzyczkaThomas J. ConlonThomas W. FerkolMavis Agbandje‐McKennaPei WuTerence R. FlotteKenneth H. Warrington
- Topics
- Virus-based gene therapy research (2 papers)Big Data and Business Intelligence (1 paper)Viral gastroenteritis research and epidemiology (1 paper)
- Journals
- Journal of VirologyResearch and Exploration in LaboratoryCanye kexue
- Partner nations
- United StatesFranceChina
In The Last Decade
Wu Xiao
5 papers receiving 418 citations
Peers
Comparison fields: 5 of 43
- Genetics 392
- Molecular Biology 301
- Infectious Diseases 89
- Cardiology and Cardiovascular Medicine 75
- Oncology 61
Countries citing papers authored by Wu Xiao
This map shows the geographic impact of Wu Xiao'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 Wu Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wu Xiao more than expected).
Fields of papers citing papers by Wu Xiao
This network shows the impact of papers produced by Wu Xiao. 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 Wu Xiao. The network helps show where Wu Xiao may publish in the future.
Co-authorship network of co-authors of Wu Xiao
This figure shows the co-authorship network connecting the top 25 collaborators of Wu Xiao. A scholar is included among the top collaborators of Wu Xiao 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 Wu Xiao. Wu Xiao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Prokaryotic expression of VP2 protein of Bluetongue disease virus serotype 25 and preparation of monoclonal antibody | 1 |
| 2 | Laboratory Information Management in Colleges and Universities | 0 |
| 3 | Construction of A Rapid BmNPV Bac-to-Bac System for Application in Silkworm,Bombyx mori L.by Using Bacterial Transposon | 2 |
| 4 | Expression and Activity Identification of Shortened Human Acidic Fibroblast Growth Factor | 4 |
| 5 | 102 | |
| 6 | 317 |
About Wu Xiao
Wu Xiao is a scholar working on Management Information Systems, Genetics and Agronomy and Crop Science, having authored 6 papers that have together received 426 indexed citations. Recurring topics across this work include Virus-based gene therapy research (2 papers), Big Data and Business Intelligence (1 paper) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Genetics (392 citations), Animal Science and Zoology (58 citations) and Infectious Diseases (89 citations). Wu Xiao has collaborated with scholars based in United States, France and China. Frequent co-authors include Jeff Hughes, Nicholas Muzyczka, Thomas J. Conlon, Thomas W. Ferkol, Mavis Agbandje‐McKenna, Pei Wu, Terence R. Flotte, Kenneth H. Warrington, Patrick Hearing and Wen Cui. Their work appears in journals such as Journal of Virology, Research and Exploration in Laboratory and Canye kexue.
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.