Dan Yao
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 10%
Papers in
-
- Genomics and Phylogenetic Studies 7
- Protist diversity and phylogeny 4
- Plant Gene Expression Analysis 3
- Photosynthetic Processes and Mechanisms 3
-
- Plant Disease Resistance and Genetics 3
- Co-authors
- Wuyuan Lu (1 shared paper)Chongbing Liao (1 shared paper)Qingxia Wang (1 shared paper)Xin Huang (1 shared paper)Lianju Ning (1 shared paper)Shahid Iqbal (2 shared papers)Zhihong Gao (2 shared papers)Jie Tang (8 shared papers)
- Journals
- Frontiers in Microbiology (4 papers)PLoS ONE (3 papers)Frontiers in Genetics (2 papers)Animals (1 paper)Journal of Plant Physiology (1 paper)
- Partner nations
- ChinaPolandUnited States
In The Last Decade
Dan Yao
34 papers receiving 749 citations
Dan Yao's Hit Papers
Peers
Comparison fields: 5 of 107
- Molecular Medicine 140
- Endocrinology 59
- Molecular Biology 383
- Microbiology 31
- Horticulture 5
Countries citing papers authored by Dan Yao
This map shows the geographic impact of Dan Yao'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 Dan Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Yao more than expected).
Fields of papers citing papers by Dan Yao
This network shows the impact of papers produced by Dan Yao. 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 Dan Yao. The network helps show where Dan Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Yao, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Virulence Factors of Pseudomonas Aeruginosa and Antivirulence Strategies to Combat Its Drug Resistance Hit paper breakdown → | 2022 | 180 |
| 2 | 2019 | 107 | |
| 3 | 2010 | 56 | |
| 4 | 2023 | 51 | |
| 5 | 2014 | 50 | |
| 6 | 2009 | 38 | |
| 7 | 2019 | 31 | |
| 8 | 2011 | 25 | |
| 9 | 2022 | 22 | |
| 10 | 2020 | 22 | |
| 11 | 2022 | 20 | |
| 12 | 2022 | 16 | |
| 13 | 2022 | 14 | |
| 14 | 2019 | 13 | |
| 15 | 2023 | 12 | |
| 16 | 2015 | 12 | |
| 17 | 2022 | 11 | |
| 18 | 2023 | 9 | |
| 19 | 2021 | 9 | |
| 20 | 2021 | 9 |
About Dan Yao
Dan Yao is a scholar working on Molecular Biology, Plant Science, Ecology, Genetics and Agronomy and Crop Science, having authored 39 papers that have together received 767 indexed citations. Recurring topics across this work include Microbial Community Ecology and Physiology (8 papers), Genomics and Phylogenetic Studies (7 papers), Protist diversity and phylogeny (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Plant Disease Resistance and Genetics (3 papers), Plant Gene Expression Analysis (3 papers), Atmospheric chemistry and aerosols (3 papers) and Photosynthetic Processes and Mechanisms (3 papers). The work is most often cited by research in Molecular Medicine (140 citations), Endocrinology (59 citations), Molecular Biology (383 citations), Microbiology (31 citations) and Horticulture (5 citations). Dan Yao has collaborated with scholars based in China, Poland and United States. Frequent co-authors include Wuyuan Lu, Chongbing Liao, Qingxia Wang, Xin Huang, Lianju Ning, Shahid Iqbal, Zhihong Gao, Jie Tang, Maurycy Daroch and Wenjie Luo. Their work appears in journals such as Frontiers in Microbiology, PLoS ONE, Frontiers in Genetics, Animals and Journal of Plant Physiology.
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.