Xiaodan Ni
Impact in
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
- Structural Biology top 10%
- Advanced Electron Microscopy Techniques and Applications
Papers in
-
- SARS-CoV-2 and COVID-19 Research 4
-
- RNA and protein synthesis mechanisms 2
- Mitochondrial Function and Pathology 1
- Bacillus and Francisella bacterial research 1
- PI3K/AKT/mTOR signaling in cancer 1
- Co-authors
- Jiansen Jiang (6 shared papers)Ryan P. McGlinchey (2 shared papers)Jennifer C. Lee (2 shared papers)Joaquín Ortega (2 shared papers)Istvan Botos (2 shared papers)Susan K. Buchanan (2 shared papers)Giuseppe Melacini (1 shared paper)Bryan VanSchouwen (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)Journal of the American Chemical Society (2 papers)Proceedings of the National Academy of Sciences (2 papers)Cell (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Xiaodan Ni
16 papers receiving 685 citations
Peers
Comparison fields: 5 of 43
- Neurology 136
- Structural Biology 16
- Molecular Biology 191
- Physiology 69
- Genetics 62
Countries citing papers authored by Xiaodan Ni
This map shows the geographic impact of Xiaodan Ni'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 Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaodan Ni more than expected).
Fields of papers citing papers by Xiaodan Ni
This network shows the impact of papers produced by Xiaodan Ni. 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 Ni. The network helps show where Xiaodan Ni may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaodan Ni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 116 | |
| 2 | 2017 | 92 | |
| 3 | 2019 | 73 | |
| 4 | 2021 | 72 | |
| 5 | 2020 | 66 | |
| 6 | 2017 | 60 | |
| 7 | 2016 | 40 | |
| 8 | 2019 | 37 | |
| 9 | 2022 | 34 | |
| 10 | 2023 | 27 | |
| 11 | 2021 | 23 | |
| 12 | 2023 | 17 | |
| 13 | 2021 | 13 | |
| 14 | 2023 | 12 | |
| 15 | 2025 | 6 | |
| 16 | 2023 | 3 | |
| 17 | 2020 | 0 |
About Xiaodan Ni
Xiaodan Ni is a scholar working on Infectious Diseases, Molecular Biology, Neurology, Structural Biology and Physiology, having authored 17 papers that have together received 691 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), RNA and protein synthesis mechanisms (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Mitochondrial Function and Pathology (1 paper), Bacillus and Francisella bacterial research (1 paper), Alzheimer's disease research and treatments (1 paper), PI3K/AKT/mTOR signaling in cancer (1 paper) and Advanced Electron Microscopy Techniques and Applications (1 paper). The work is most often cited by research in Neurology (136 citations), Structural Biology (16 citations), Molecular Biology (191 citations), Physiology (69 citations) and Genetics (62 citations). Xiaodan Ni has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Jiansen Jiang, Ryan P. McGlinchey, Jennifer C. Lee, Joaquín Ortega, Istvan Botos, Susan K. Buchanan, Giuseppe Melacini, Bryan VanSchouwen, Rashik Ahmed and Jared A. Shadish. Their work appears in journals such as Nucleic Acids Research, Journal of the American Chemical Society, Proceedings of the National Academy of Sciences, Cell and Nature Communications.
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.