Xiaodan Yu
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cell Biology top 10%
- Hippo pathway signaling and YAP/TAZ
Papers in
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- Plant and Fungal Species Descriptions 4
- Metabolomics and Mass Spectrometry Studies 3
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- Mycorrhizal Fungi and Plant Interactions 19
- Phytochemistry and Biological Activities 3
- Plant Molecular Biology Research 3
- Co-authors
- László Márton (1 shared paper)Lianghai Wang (7 shared papers)Jun Hou (6 shared papers)Zhiyu Zhang (3 shared papers)Lijuan Pang (5 shared papers)Zi‐Kuan Guo (2 shared papers)Pei-Hsien Tang (1 shared paper)Ning Mao (1 shared paper)
- Journals
- Frontiers in Microbiology (4 papers)Bioorganic Chemistry (3 papers)PLoS ONE (2 papers)Electrophoresis (2 papers)PeerJ (2 papers)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Xiaodan Yu
60 papers receiving 924 citations
Peers
Comparison fields: 5 of 108
- Cancer Research 119
- Cell Biology 123
- Molecular Biology 433
- Genetics 62
- Plant Science 232
Countries citing papers authored by Xiaodan Yu
This map shows the geographic impact of Xiaodan Yu'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 Xiaodan Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaodan Yu more than expected).
Fields of papers citing papers by Xiaodan Yu
This network shows the impact of papers produced by Xiaodan Yu. 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 Xiaodan Yu. The network helps show where Xiaodan Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaodan Yu, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 92 | |
| 2 | 2018 | 83 | |
| 3 | [Development and psychometric properties of the Chinese version of Children's Sleep Habits Questionnaire]. | 2007 | 82 |
| 4 | 2006 | 78 | |
| 5 | 2019 | 68 | |
| 6 | 2017 | 47 | |
| 7 | 2021 | 38 | |
| 8 | 2020 | 28 | |
| 9 | 1993 | 23 | |
| 10 | 2021 | 23 | |
| 11 | 2019 | 23 | |
| 12 | 2016 | 22 | |
| 13 | 2019 | 21 | |
| 14 | 2023 | 20 | |
| 15 | 2007 | 20 | |
| 16 | 2016 | 19 | |
| 17 | 2014 | 15 | |
| 18 | 2014 | 15 | |
| 19 | 2019 | 15 | |
| 20 | 2019 | 14 |
About Xiaodan Yu
Xiaodan Yu is a scholar working on Molecular Biology, Plant Science, Cell Biology, Pharmacology and Ecology, Evolution, Behavior and Systematics, having authored 65 papers that have together received 941 indexed citations. Recurring topics across this work include Mycorrhizal Fungi and Plant Interactions (19 papers), Fungal Biology and Applications (12 papers), Plant Pathogens and Fungal Diseases (11 papers), Plant and Fungal Species Descriptions (4 papers), Lichen and fungal ecology (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Phytochemistry and Biological Activities (3 papers) and Plant Molecular Biology Research (3 papers). The work is most often cited by research in Cancer Research (119 citations), Cell Biology (123 citations), Molecular Biology (433 citations), Genetics (62 citations) and Plant Science (232 citations). Xiaodan Yu has collaborated with scholars based in China, United States and Russia. Frequent co-authors include László Márton, Lianghai Wang, Jun Hou, Zhiyu Zhang, Lijuan Pang, Zi‐Kuan Guo, Pei-Hsien Tang, Ning Mao, Xiaoming Shen and Heng‐Xiang Wang. Their work appears in journals such as Frontiers in Microbiology, Bioorganic Chemistry, PLoS ONE, Electrophoresis and PeerJ.
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.