Shaobo Dai
Impact in
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- Renal Diseases and Glomerulopathies
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- Biochemical Acid Research Studies
Papers in
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- Cancer-related gene regulation 3
- Epigenetics and DNA Methylation 3
- RNA modifications and cancer 3
- Plant biochemistry and biosynthesis 2
- DNA and Nucleic Acid Chemistry 2
- Microbial Metabolic Engineering and Bioproduction 2
- Co-authors
- Kai Tittmann (3 shared papers)Fabian Rabe von Pappenheim (1 shared paper)Lisa-Marie Funk (1 shared paper)Benjamin Schröder (1 shared paper)Jon Uranga (1 shared paper)Ricardo A. Mata (1 shared paper)Alex W. Wilkinson (3 shared papers)J.R. Horton (3 shared papers)
- Journals
- Nature Communications (2 papers)Journal of Biological Chemistry (2 papers)Journal of the American Chemical Society (2 papers)Helvetica Chimica Acta (1 paper)Nature (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Shaobo Dai
15 papers receiving 319 citations
Peers
Comparison fields: 5 of 64
- Nephrology 32
- Biochemistry 27
- Organic Chemistry 78
- Molecular Biology 153
- Pharmaceutical Science 11
Countries citing papers authored by Shaobo Dai
This map shows the geographic impact of Shaobo Dai'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 Shaobo Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaobo Dai more than expected).
Fields of papers citing papers by Shaobo Dai
This network shows the impact of papers produced by Shaobo Dai. 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 Shaobo Dai. The network helps show where Shaobo Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaobo Dai, 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 | 92 | |
| 2 | 2024 | 74 | |
| 3 | 2009 | 37 | |
| 4 | 2019 | 34 | |
| 5 | 2023 | 20 | |
| 6 | 2016 | 16 | |
| 7 | 2020 | 15 | |
| 8 | 2020 | 14 | |
| 9 | 2024 | 5 | |
| 10 | 2024 | 4 | |
| 11 | 2023 | 4 | |
| 12 | 2012 | 2 | |
| 13 | 2022 | 2 | |
| 14 | 2012 | 2 | |
| 15 | 2023 | 1 |
About Shaobo Dai
Shaobo Dai is a scholar working on Molecular Biology, Pharmacology, Cell Biology, Biochemistry and Materials Chemistry, having authored 15 papers that have together received 322 indexed citations. Recurring topics across this work include Cancer-related gene regulation (3 papers), Epigenetics and DNA Methylation (3 papers), RNA modifications and cancer (3 papers), Biochemical Acid Research Studies (2 papers), Plant biochemistry and biosynthesis (2 papers), Enzyme Structure and Function (2 papers), DNA and Nucleic Acid Chemistry (2 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). The work is most often cited by research in Nephrology (32 citations), Biochemistry (27 citations), Organic Chemistry (78 citations), Molecular Biology (153 citations) and Pharmaceutical Science (11 citations). Shaobo Dai has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Kai Tittmann, Fabian Rabe von Pappenheim, Lisa-Marie Funk, Benjamin Schröder, Jon Uranga, Ricardo A. Mata, Alex W. Wilkinson, J.R. Horton, Xiaodong Cheng and Rui Chang. Their work appears in journals such as Nature Communications, Journal of Biological Chemistry, Journal of the American Chemical Society, Helvetica Chimica Acta and Nature.
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.