Xiaodan Li
Impact in
- Biochemistry top 10%
- Lipid metabolism and biosynthesis
-
- Autism Spectrum Disorder Research
Papers in
-
- Autism Spectrum Disorder Research 4
- Co-authors
- Changming Lu (2 shared papers)Ling Xiao (2 shared papers)Gang Wu (2 shared papers)Yuhua Wu (2 shared papers)Yan Huang (4 shared papers)Yinglong Cao (1 shared paper)Lijie Wu (4 shared papers)Shuang Liang (4 shared papers)
- Journals
- Laser & Photonics Review (2 papers)International Journal of Molecular Medicine (1 paper)Theoretical and Applied Genetics (1 paper)Frontiers in Pediatrics (1 paper)ACS Applied Materials & Interfaces (1 paper)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Xiaodan Li
22 papers receiving 406 citations
Peers
Comparison fields: 5 of 82
- Biochemistry 79
- Cognitive Neuroscience 57
- Molecular Biology 177
- Biotechnology 22
- Genetics 57
Countries citing papers authored by Xiaodan Li
This map shows the geographic impact of Xiaodan Li'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 Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaodan Li more than expected).
Fields of papers citing papers by Xiaodan Li
This network shows the impact of papers produced by Xiaodan Li. 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 Li. The network helps show where Xiaodan Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaodan Li, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 78 | |
| 2 | 2022 | 43 | |
| 3 | 2009 | 42 | |
| 4 | 2020 | 36 | |
| 5 | 2019 | 25 | |
| 6 | 2017 | 25 | |
| 7 | 2022 | 23 | |
| 8 | 2019 | 19 | |
| 9 | 2021 | 16 | |
| 10 | 2016 | 14 | |
| 11 | 2019 | 14 | |
| 12 | 2018 | 13 | |
| 13 | 2008 | 13 | |
| 14 | 2024 | 12 | |
| 15 | 2017 | 9 | |
| 16 | 2019 | 9 | |
| 17 | 2021 | 6 | |
| 18 | 2018 | 5 | |
| 19 | 2024 | 4 | |
| 20 | 2024 | 3 |
About Xiaodan Li
Xiaodan Li is a scholar working on Cognitive Neuroscience, Biomaterials, Molecular Medicine, Endocrinology and Biochemistry, having authored 23 papers that have together received 412 indexed citations. Recurring topics across this work include Luminescence Properties of Advanced Materials (4 papers), Autism Spectrum Disorder Research (4 papers), Nanoplatforms for cancer theranostics (4 papers), Luminescence and Fluorescent Materials (3 papers), Epigenetics and DNA Methylation (3 papers), Genetics and Neurodevelopmental Disorders (3 papers), Lipid metabolism and biosynthesis (2 papers) and Escherichia coli research studies (2 papers). The work is most often cited by research in Biochemistry (79 citations), Cognitive Neuroscience (57 citations), Molecular Biology (177 citations), Biotechnology (22 citations) and Genetics (57 citations). Xiaodan Li has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Changming Lu, Ling Xiao, Gang Wu, Yuhua Wu, Yan Huang, Yinglong Cao, Lijie Wu, Shuang Liang, Xiang Jin and Yinghui Guan. Their work appears in journals such as Laser & Photonics Review, International Journal of Molecular Medicine, Theoretical and Applied Genetics, Frontiers in Pediatrics and ACS Applied Materials & Interfaces.
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.