Xiaojun Li
- Spectroscopy top 1%
- Mass Spectrometry Techniques and Applications 3
- Advanced Proteomics Techniques and Applications 3
- Molecular Biology top 5%
- Single-cell and spatial transcriptomics 5
- DNA Repair Mechanisms 4
- Genomics and Phylogenetic Studies 3
- Enzyme Catalysis and Immobilization 3
- Extracellular vesicles in disease 3
- Biophysics top 10%
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- Innovative Microfluidic and Catalytic Techniques Innovation 2
- Co-authors
- Ruedi AebersoldJimmy K. EngAndrew KellerNing ZhangBernd BodenmillerRobert V. O’BrienJulian D. WattsW. Andy Tao
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Communications (3 papers)Nature Genetics (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Xiaojun Li
32 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Spectroscopy 653
- Molecular Biology 1.3k
- Biophysics 42
- Cancer Research 106
- Biological Psychiatry 15
Countries citing papers authored by Xiaojun Li
This map shows the geographic impact of Xiaojun 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 Xiaojun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojun Li more than expected).
Fields of papers citing papers by Xiaojun Li
This network shows the impact of papers produced by Xiaojun 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 Xiaojun Li. The network helps show where Xiaojun Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaojun 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 8 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 15 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 70 | |
| 10 | 2023 | 21 | |
| 11 | 2020 | 4 | |
| 12 | 2019 | 129 | |
| 13 | 2018 | 34 | |
| 14 | 2018 | 21 | |
| 15 | 2018 | 17 | |
| 16 | Effects of fullerol on the osteogenic differentiation of adipose-derived mesenchymal stem cells | 2016 | 1 |
| 17 | 2014 | 18 | |
| 18 | 2008 | 49 | |
| 19 | 2005 | 256 | |
| 20 | 2004 | 124 |
About Xiaojun Li
Xiaojun Li is a scholar working on Horticulture, Molecular Biology and Spectroscopy, having authored 37 papers that have together received 1.7k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), DNA Repair Mechanisms (4 papers), Genomics and Phylogenetic Studies (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Enzyme Catalysis and Immobilization (3 papers), Extracellular vesicles in disease (3 papers), Advanced Proteomics Techniques and Applications (3 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (2 papers). The work is most often cited by research in Spectroscopy (653 citations), Molecular Biology (1.3k citations) and Biophysics (42 citations). Xiaojun Li has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Ruedi Aebersold, Jimmy K. Eng, Andrew Keller, Ning Zhang, Bernd Bodenmiller, Robert V. O’Brien, Julian D. Watts, W. Andy Tao, Leroy Hood and Bernd Wollscheid. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Genetics.
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.