Jin-Ya Wu
Impact in
Papers in
-
- Studies on Chitinases and Chitosanases 3
- Genomics and Phylogenetic Studies 2
- Ecology 3
- Microbial Community Ecology and Physiology 2
- Co-authors
- Yunxia Jiang (2 shared papers)Hongwei Zhou (2 shared papers)Hua-Fang Sheng (1 shared paper)Yu Wang (1 shared paper)N.F.Y. Tam (1 shared paper)Yan He (1 shared paper)Xiao‐Guang Chen (6 shared papers)Anthony A. James (2 shared papers)
- Journals
- Cell & Bioscience (1 paper)BMC Microbiology (1 paper)Diagnostic Microbiology and Infectious Disease (1 paper)Applied and Environmental Microbiology (1 paper)PLoS ONE (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jin-Ya Wu
8 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Ecology 471
- Pollution 171
- Environmental Chemistry 131
- Infectious Diseases 170
- Public Health, Environmental and Occupational Health 250
Countries citing papers authored by Jin-Ya Wu
This map shows the geographic impact of Jin-Ya 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 Jin-Ya Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin-Ya Wu more than expected).
Fields of papers citing papers by Jin-Ya Wu
This network shows the impact of papers produced by Jin-Ya 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 Jin-Ya Wu. The network helps show where Jin-Ya Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin-Ya 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
| # | Work | ||
|---|---|---|---|
| 1 | Comparison of the Levels of Bacterial Diversity in Freshwater, Intertidal Wetland, and Marine Sediments by Using Millions of Illumina Tags Hit paper breakdown → | 2012 | 718 |
| 2 | 2010 | 203 | |
| 3 | 2010 | 96 | |
| 4 | 2015 | 59 | |
| 5 | 2013 | 32 | |
| 6 | 2010 | 28 | |
| 7 | [Isolation, identification and analysis of the expression profile of miRNAs in Aedes albopictus]. | 2010 | 4 |
| 8 | [Development and identification of monoclonal antibodies against the recombinant P38 antigen of Schistosoma japonicum]. | 2005 | 1 |
About Jin-Ya Wu
Jin-Ya Wu is a scholar working on Molecular Biology, Ecology, Public Health, Environmental and Occupational Health, Parasitology and Infectious Diseases, having authored 8 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (3 papers), Studies on Chitinases and Chitosanases (3 papers), Microbial Community Ecology and Physiology (2 papers), Genomics and Phylogenetic Studies (2 papers), Parasites and Host Interactions (2 papers), MicroRNA in disease regulation (1 paper), Trace Elements in Health (1 paper) and Dengue and Mosquito Control Research (1 paper). The work is most often cited by research in Ecology (471 citations), Pollution (171 citations), Environmental Chemistry (131 citations), Infectious Diseases (170 citations) and Public Health, Environmental and Occupational Health (250 citations). Jin-Ya Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yunxia Jiang, Hongwei Zhou, Hua-Fang Sheng, Yu Wang, N.F.Y. Tam, Yan He, Xiao‐Guang Chen, Anthony A. James, Zhao‐Rong Lun and Xiaotao Jiang. Their work appears in journals such as Cell & Bioscience, BMC Microbiology, Diagnostic Microbiology and Infectious Disease, Applied and Environmental Microbiology and PLoS ONE.
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.