Yu Weiwei
Impact in
- Biotechnology top 5%
- Transgenic Plants and Applications
-
- Diptera species taxonomy and behavior
- Hemiptera Insect Studies
Papers in
-
- Hemiptera Insect Studies 2
- Orthoptera Research and Taxonomy 1
-
- Genomics and Phylogenetic Studies 4
- vaccines and immunoinformatics approaches 2
- Plant tissue culture and regeneration 1
- Co-authors
- Yu‐Zhou Du (2 shared papers)Tamás Tuboly (1 shared paper)Larry R. Erickson (1 shared paper)Éva Nagy (1 shared paper)Xiaoyu Ji (2 shared papers)Fei Yang (1 shared paper)Liping Wang (1 shared paper)Yu‐Zhou Du (1 shared paper)
- Journals
- Gene (4 papers)Poultry Science (2 papers)Vaccine (1 paper)PLoS ONE (1 paper)Journal of Veterinary Science (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Yu Weiwei
15 papers receiving 309 citations
Peers
Comparison fields: 5 of 29
- Biotechnology 78
- Ecology, Evolution, Behavior and Systematics 86
- Ocean Engineering 46
- Animal Science and Zoology 21
- Parasitology 14
Countries citing papers authored by Yu Weiwei
This map shows the geographic impact of Yu Weiwei'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 Yu Weiwei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Weiwei more than expected).
Fields of papers citing papers by Yu Weiwei
This network shows the impact of papers produced by Yu Weiwei. 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 Yu Weiwei. The network helps show where Yu Weiwei may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Weiwei, 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 | 2000 | 101 | |
| 2 | 2011 | 42 | |
| 3 | 2014 | 30 | |
| 4 | 2013 | 24 | |
| 5 | 1983 | 23 | |
| 6 | 2014 | 21 | |
| 7 | 2021 | 17 | |
| 8 | 2013 | 16 | |
| 9 | 2019 | 13 | |
| 10 | 2020 | 13 | |
| 11 | 2012 | 10 | |
| 12 | 2019 | 7 | |
| 13 | 2011 | 6 | |
| 14 | 2015 | 6 | |
| 15 | 2019 | 5 |
About Yu Weiwei
Yu Weiwei is a scholar working on Ecology, Evolution, Behavior and Systematics, Molecular Biology, Ocean Engineering, Genetics and Infectious Diseases, having authored 15 papers that have together received 334 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Hemiptera Insect Studies (2 papers), Stonefly species taxonomy and ecology (2 papers), vaccines and immunoinformatics approaches (2 papers), Genetic Mapping and Diversity in Plants and Animals (1 paper), T-cell and B-cell Immunology (1 paper), Orthoptera Research and Taxonomy (1 paper) and Plant tissue culture and regeneration (1 paper). The work is most often cited by research in Biotechnology (78 citations), Ecology, Evolution, Behavior and Systematics (86 citations), Ocean Engineering (46 citations), Animal Science and Zoology (21 citations) and Parasitology (14 citations). Yu Weiwei has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yu‐Zhou Du, Tamás Tuboly, Larry R. Erickson, Éva Nagy, Xiaoyu Ji, Fei Yang, Liping Wang, Yu‐Zhou Du, Haiyan Wu and Wenyan Yang. Their work appears in journals such as Gene, Poultry Science, Vaccine, PLoS ONE and Journal of Veterinary Science.
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.