Xiaozhe Ding
Impact in
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- Photoreceptor and optogenetics research
- Neurobiology and Insect Physiology Research
- Neuroscience and Neural Engineering
- Biophysics top 5%
Papers in
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- CRISPR and Genetic Engineering 3
- Chemical Synthesis and Analysis 2
- Genetics 6
- Virus-based gene therapy research 6
- Co-authors
- Michael Z. Lin (1 shared paper)François St-Pierre (1 shared paper)Thomas R. Clandinin (1 shared paper)Xulu Sun (1 shared paper)Helen H. Yang (1 shared paper)Viviana Gradinaru (8 shared papers)Xinhong Chen (4 shared papers)Timothy F. Miles (2 shared papers)
- Journals
- RSC Advances (3 papers)Molecular Therapy (1 paper)Nature Methods (1 paper)Genes & Development (1 paper)Nanomedicine (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Xiaozhe Ding
16 papers receiving 553 citations
Peers
Comparison fields: 5 of 74
- Cellular and Molecular Neuroscience 191
- Biophysics 50
- Molecular Biology 366
- Genetics 143
- Cognitive Neuroscience 68
Countries citing papers authored by Xiaozhe Ding
This map shows the geographic impact of Xiaozhe Ding'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 Xiaozhe Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaozhe Ding more than expected).
Fields of papers citing papers by Xiaozhe Ding
This network shows the impact of papers produced by Xiaozhe Ding. 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 Xiaozhe Ding. The network helps show where Xiaozhe Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaozhe Ding, 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 | 2016 | 178 | |
| 2 | 2020 | 129 | |
| 3 | 2014 | 95 | |
| 4 | 2017 | 46 | |
| 5 | 2023 | 31 | |
| 6 | 2014 | 18 | |
| 7 | 2016 | 17 | |
| 8 | 2022 | 14 | |
| 9 | 2024 | 10 | |
| 10 | 2024 | 8 | |
| 11 | 2023 | 6 | |
| 12 | 2017 | 2 | |
| 13 | 2017 | 2 | |
| 14 | 2015 | 2 | |
| 15 | 2020 | 1 | |
| 16 | 2018 | 1 |
About Xiaozhe Ding
Xiaozhe Ding is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Organic Chemistry and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 560 indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), CRISPR and Genetic Engineering (3 papers), Advanced Fiber Optic Sensors (2 papers), Chemical Synthesis and Analysis (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Viral Infections and Immunology Research (2 papers), Click Chemistry and Applications (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (191 citations), Biophysics (50 citations), Molecular Biology (366 citations), Genetics (143 citations) and Cognitive Neuroscience (68 citations). Xiaozhe Ding has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Michael Z. Lin, François St-Pierre, Thomas R. Clandinin, Xulu Sun, Helen H. Yang, Viviana Gradinaru, Xinhong Chen, Timothy F. Miles, Sripriya Ravindra Kumar and Haitao Li. Their work appears in journals such as RSC Advances, Molecular Therapy, Nature Methods, Genes & Development and Nanomedicine.
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.