Xiaochen Du
Impact in
- Structural Biology top 2%
- Advanced Electron Microscopy Techniques and Applications
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- Machine Learning in Materials Science
- Enzyme Structure and Function
- Catalytic Processes in Materials Science
Papers in
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- Advanced Electron Microscopy Techniques and Applications 3
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- Machine Learning in Materials Science 3
- Co-authors
- Alberto Bartesaghi (3 shared papers)Ye Zhou (3 shared papers)Mario Juan Borgnia (2 shared papers)Bilge Yildiz (2 shared papers)Jonathan Bouvette (2 shared papers)Rafael Gómez‐Bombarelli (2 shared papers)Rick K Huang (2 shared papers)Roel M. Schaaper (2 shared papers)
- Journals
- Nature Communications (1 paper)Nature Methods (1 paper)Nature Computational Science (1 paper)ACS Central Science (1 paper)Acta Crystallographica Section A Foundations and Advances (1 paper)
- Partner nations
- United StatesFinland
In The Last Decade
Xiaochen Du
7 papers receiving 167 citations
Peers
Comparison fields: 5 of 23
- Structural Biology 99
- Materials Chemistry 48
- Renewable Energy, Sustainability and the Environment 9
- Virology 2
- Metals and Alloys 1
Countries citing papers authored by Xiaochen Du
This map shows the geographic impact of Xiaochen Du'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 Xiaochen Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaochen Du more than expected).
Fields of papers citing papers by Xiaochen Du
This network shows the impact of papers produced by Xiaochen Du. 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 Xiaochen Du. The network helps show where Xiaochen Du may publish in the future.
Co-authors
The 23 scholars most cited alongside Xiaochen Du, 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 | 2021 | 78 | |
| 2 | 2023 | 38 | |
| 3 | 2023 | 34 | |
| 4 | 2025 | 10 | |
| 5 | 2020 | 6 | |
| 6 | 2020 | 2 | |
| 7 | HybriD 3 : Materials Property Database for Hybrid Organic-Inorganic Perovskites | 2021 | 2 |
| 8 | 2021 | 1 |
About Xiaochen Du
Xiaochen Du is a scholar working on Structural Biology, Materials Chemistry, Inorganic Chemistry, Renewable Energy, Sustainability and the Environment and Information Systems, having authored 8 papers that have together received 171 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (3 papers), Advanced Electron Microscopy Techniques and Applications (3 papers), Metalloenzymes and iron-sulfur proteins (1 paper), Research Data Management Practices (1 paper), Metal-Catalyzed Oxygenation Mechanisms (1 paper), DNA Repair Mechanisms (1 paper) and Perovskite Materials and Applications (1 paper). The work is most often cited by research in Structural Biology (99 citations), Materials Chemistry (48 citations), Renewable Energy, Sustainability and the Environment (9 citations), Virology (2 citations) and Metals and Alloys (1 citation). Xiaochen Du has collaborated with scholars based in United States and Finland. Frequent co-authors include Alberto Bartesaghi, Ye Zhou, Mario Juan Borgnia, Bilge Yildiz, Jonathan Bouvette, Rafael Gómez‐Bombarelli, Rick K Huang, Roel M. Schaaper, Juliana da Fonseca Rezende e Mello and Jaclyn R. Lunger. Their work appears in journals such as Nature Communications, Nature Methods, Nature Computational Science, ACS Central Science and Acta Crystallographica Section A Foundations and Advances.
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.