Dahua Chen
Impact in
- Aging top 2%
- Molecular Biology top 2%
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Developmental Biology and Gene Regulation
- RNA Research and Splicing
- CRISPR and Genetic Engineering
- Cancer-related gene regulation
Papers in
-
- Epigenetics and DNA Methylation 16
- RNA modifications and cancer 15
- CRISPR and Genetic Engineering 11
- RNA Research and Splicing 9
- Developmental Biology and Gene Regulation 8
- Immunology 14
- interferon and immune responses 11
Dahua Chen
100 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Aging 116
- Molecular Biology 3.3k
- Immunology 652
- Cancer Research 397
- Genetics 709
Countries citing papers authored by Dahua Chen
This map shows the geographic impact of Dahua Chen'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 Dahua Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dahua Chen more than expected).
Fields of papers citing papers by Dahua Chen
This network shows the impact of papers produced by Dahua Chen. 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 Dahua Chen. The network helps show where Dahua Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dahua Chen, 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 | 2024 | 3 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 14 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 0 | |
| 7 | 2022 | 8 | |
| 8 | 2019 | 36 | |
| 9 | 2016 | 83 | |
| 10 | 2015 | 31 | |
| 11 | N6-Methyladenine DNA Modification in Drosophila Hit paper breakdown → | 2015 | 471 |
| 12 | The Cultural Plight and Way out of Patent Application of Chinese Medicine | 2011 | 0 |
| 13 | 2010 | 105 | |
| 14 | 2010 | 94 | |
| 15 | 2008 | 59 | |
| 16 | 2008 | 4 | |
| 17 | COMPARATIVE STUDY OF TWO VISUAL PERFORMANCE BASED MESOPIC MODELS BASED ON REACTION TIME AND CONTRAST THRESHOLD DATA | 2007 | 7 |
| 18 | 2007 | 48 | |
| 19 | Expression of Green Fluorescent Protein Gene in Transgenic Shoots of Artemisia annua | 1999 | 5 |
| 20 | Culture of transgenic Artemisia annua hairy root with cotton cadinene synthase gene | 1998 | 5 |
About Dahua Chen
Dahua Chen is a scholar working on Molecular Biology, Immunology, Aging, Genetics and Cancer Research, having authored 105 papers that have together received 4.4k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (16 papers), RNA modifications and cancer (15 papers), interferon and immune responses (11 papers), CRISPR and Genetic Engineering (11 papers), Impact of Light on Environment and Health (9 papers), RNA Research and Splicing (9 papers), Liver Disease Diagnosis and Treatment (8 papers) and Developmental Biology and Gene Regulation (8 papers). The work is most often cited by research in Aging (116 citations), Molecular Biology (3.3k citations), Immunology (652 citations), Cancer Research (397 citations) and Genetics (709 citations). Dahua Chen has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Dennis McKearin, Qinmiao Sun, Peng Jin, Yuanxiang Zhu, Ying Cheng, Hechun Ye, Laixin Xia, Guofeng Li, Haidong Huang and Guoqiang Zhang. Their work appears in journals such as Nature Communications, Development, Proceedings of the National Academy of Sciences, Scientific Reports and Cell Reports.
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.