Donghui Li
Impact in
- Plant Science top 10%
- Chromosomal and Genetic Variations
-
- CRISPR and Genetic Engineering
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Advanced biosensing and bioanalysis techniques
- RNA Research and Splicing
- Glutathione Transferases and Polymorphisms
Papers in
-
- CRISPR and Genetic Engineering 3
- RNA and protein synthesis mechanisms 3
- Advanced biosensing and bioanalysis techniques 2
- Molecular Biology Techniques and Applications 1
- Glutathione Transferases and Polymorphisms 1
-
- Chromosomal and Genetic Variations 4
- Co-authors
- Jef D. Boeke (5 shared papers)Paolo Mita (3 shared papers)Hua Jiang (1 shared paper)Emily M. Adney (1 shared paper)Michael P. Rout (1 shared paper)Kelly R. Molloy (1 shared paper)John LaCava (1 shared paper)Martin S. Taylor (1 shared paper)
- Journals
- Biological Procedures Online (1 paper)Carcinogenesis (1 paper)Cell (1 paper)Nucleic Acids Research (1 paper)Nature Structural & Molecular Biology (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Donghui Li
7 papers receiving 357 citations
Peers
Comparison fields: 5 of 46
- Plant Science 179
- Molecular Biology 294
- Cancer Research 49
- Genetics 48
- Immunology 35
Countries citing papers authored by Donghui Li
This map shows the geographic impact of Donghui 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 Donghui Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donghui Li more than expected).
Fields of papers citing papers by Donghui Li
This network shows the impact of papers produced by Donghui 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 Donghui Li. The network helps show where Donghui Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Donghui 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 | 2013 | 165 | |
| 2 | 2002 | 85 | |
| 3 | 2020 | 70 | |
| 4 | 2013 | 28 | |
| 5 | 2021 | 8 | |
| 6 | 2016 | 4 | |
| 7 | 2000 | 4 |
About Donghui Li
Donghui Li is a scholar working on Molecular Biology, Plant Science, Oncology, Immunology and Cancer Research, having authored 7 papers that have together received 364 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (4 papers), CRISPR and Genetic Engineering (3 papers), RNA and protein synthesis mechanisms (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Global Cancer Incidence and Screening (1 paper), Molecular Biology Techniques and Applications (1 paper), Glutathione Transferases and Polymorphisms (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Plant Science (179 citations), Molecular Biology (294 citations), Cancer Research (49 citations), Genetics (48 citations) and Immunology (35 citations). Donghui Li has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Jef D. Boeke, Paolo Mita, Hua Jiang, Emily M. Adney, Michael P. Rout, Kelly R. Molloy, John LaCava, Martin S. Taylor, Brian T. Chait and Cheng Ran Lisa Huang. Their work appears in journals such as Biological Procedures Online, Carcinogenesis, Cell, Nucleic Acids Research and Nature Structural & Molecular Biology.
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.