Yao Xiao
Impact in
- Endocrinology top 10%
- Obstetrics and Gynecology top 10%
Papers in
- Immunology 21
- T-cell and B-cell Immunology 20
- Immune Cell Function and Interaction 19
- Immunotherapy and Immune Responses 15
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- Plant nutrient uptake and metabolism 5
- Plant Molecular Biology Research 5
- Co-authors
- Daniel Wall (3 shared papers)Richard H. Ebright (1 shared paper)Xueming Wei (1 shared paper)Klaus Gerth (1 shared paper)Rolf Müller (1 shared paper)Junhui Wang (9 shared papers)Wenjun Ma (8 shared papers)Junfeng Tong (1 shared paper)
- Journals
- HLA (16 papers)BMC Genomics (3 papers)International Journal of Molecular Sciences (2 papers)Database (2 papers)Forests (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Yao Xiao
47 papers receiving 785 citations
Peers
Comparison fields: 5 of 102
- Endocrinology 36
- Obstetrics and Gynecology 45
- Transplantation 15
- Plant Science 225
- Molecular Biology 345
Countries citing papers authored by Yao Xiao
This map shows the geographic impact of Yao 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 Yao Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yao Xiao more than expected).
Fields of papers citing papers by Yao Xiao
This network shows the impact of papers produced by Yao 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 Yao Xiao. The network helps show where Yao Xiao may publish in the future.
Co-authors
The 25 scholars most cited alongside Yao Xiao, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 129 | |
| 2 | 2011 | 127 | |
| 3 | 2012 | 75 | |
| 4 | 2016 | 44 | |
| 5 | 2009 | 34 | |
| 6 | 2008 | 32 | |
| 7 | 2019 | 25 | |
| 8 | 2019 | 25 | |
| 9 | 2020 | 24 | |
| 10 | 2014 | 23 | |
| 11 | 2020 | 23 | |
| 12 | 2020 | 21 | |
| 13 | 2020 | 19 | |
| 14 | 2020 | 19 | |
| 15 | 2020 | 18 | |
| 16 | 2018 | 17 | |
| 17 | 2020 | 14 | |
| 18 | 2010 | 12 | |
| 19 | 2021 | 12 | |
| 20 | 2018 | 10 |
About Yao Xiao
Yao Xiao is a scholar working on Immunology, Plant Science, Molecular Biology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 54 papers that have together received 802 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (20 papers), Immune Cell Function and Interaction (19 papers), Immunotherapy and Immune Responses (15 papers), Plant nutrient uptake and metabolism (5 papers), Plant Molecular Biology Research (5 papers), Plant Gene Expression Analysis (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). The work is most often cited by research in Endocrinology (36 citations), Obstetrics and Gynecology (45 citations), Transplantation (15 citations), Plant Science (225 citations) and Molecular Biology (345 citations). Yao Xiao has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Daniel Wall, Richard H. Ebright, Xueming Wei, Klaus Gerth, Rolf Müller, Junhui Wang, Wenjun Ma, Junfeng Tong, Bin Han and Min Du. Their work appears in journals such as HLA, BMC Genomics, International Journal of Molecular Sciences, Database and Forests.
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.