Yao Wang
Impact in
- Endocrinology top 0.5%
- Escherichia coli research studies
- Immunology top 1%
- T-cell and B-cell Immunology
- interferon and immune responses
Papers in
-
- Escherichia coli research studies 15
- Genetics 41
- Bacterial Genetics and Biotechnology 40
- Yersinia bacterium, plague, ectoparasites research 9
- Co-authors
- Xihui Shen (62 shared papers)Dario A.A. Vignali (4 shared papers)Creg J. Workman (3 shared papers)David W. Sehy (2 shared papers)Lauren W. Collison (2 shared papers)Timothy T. Kuo (2 shared papers)Kate M. Vignali (2 shared papers)Richard J. Cross (2 shared papers)
- Journals
- Nature Communications (6 papers)Applied and Environmental Microbiology (6 papers)Journal of the American Academy of Dermatology (5 papers)Scientific Reports (4 papers)PLoS ONE (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Yao Wang
111 papers receiving 5.5k citations
Yao Wang's Hit Papers
Peers
Comparison fields: 5 of 110
- Endocrinology 564
- Immunology 1.6k
- Genetics 1.1k
- Oncology 538
- Molecular Biology 1.3k
Countries citing papers authored by Yao Wang
This map shows the geographic impact of Yao Wang'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 Yao Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yao Wang more than expected).
Fields of papers citing papers by Yao Wang
This network shows the impact of papers produced by Yao Wang. 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 Yao Wang. The network helps show where Yao Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yao Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The inhibitory cytokine IL-35 contributes to regulatory T-cell function Hit paper breakdown → | 2007 | 1683 |
| 2 | 2006 | 363 | |
| 3 | 2017 | 255 | |
| 4 | 2009 | 246 | |
| 5 | 2018 | 215 | |
| 6 | 2017 | 200 | |
| 7 | 2017 | 198 | |
| 8 | 2020 | 171 | |
| 9 | 2015 | 168 | |
| 10 | 2017 | 96 | |
| 11 | 2012 | 95 | |
| 12 | 2021 | 82 | |
| 13 | 2021 | 69 | |
| 14 | 2019 | 65 | |
| 15 | 2020 | 59 | |
| 16 | 2020 | 55 | |
| 17 | 2015 | 54 | |
| 18 | 2015 | 52 | |
| 19 | 2021 | 51 | |
| 20 | 2013 | 46 |
About Yao Wang
Yao Wang is a scholar working on Endocrinology, Genetics, Immunology, Molecular Biology and Plant Science, having authored 115 papers that have together received 5.6k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (40 papers), Escherichia coli research studies (15 papers), Bacterial biofilms and quorum sensing (13 papers), Plant-Microbe Interactions and Immunity (11 papers), Yersinia bacterium, plague, ectoparasites research (9 papers), Immune Response and Inflammation (5 papers), Psoriasis: Treatment and Pathogenesis (5 papers) and Genomics and Phylogenetic Studies (5 papers). The work is most often cited by research in Endocrinology (564 citations), Immunology (1.6k citations), Genetics (1.1k citations), Oncology (538 citations) and Molecular Biology (1.3k citations). Yao Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xihui Shen, Dario A.A. Vignali, Creg J. Workman, David W. Sehy, Lauren W. Collison, Timothy T. Kuo, Kate M. Vignali, Richard J. Cross, Kelli Lynn Boyd and Richard S. Blumberg. Their work appears in journals such as Nature Communications, Applied and Environmental Microbiology, Journal of the American Academy of Dermatology, Scientific Reports 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.