Cai Chen
Impact in
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- Genomics and Phylogenetic Studies
- Advanced biosensing and bioanalysis techniques
- CRISPR and Genetic Engineering
- Extracellular vesicles in disease
- Protist diversity and phylogeny
- Plant Science top 10%
- Chromosomal and Genetic Variations
Papers in
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- Genomics and Phylogenetic Studies 12
- CRISPR and Genetic Engineering 7
- Advanced biosensing and bioanalysis techniques 5
- RNA Research and Splicing 3
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- Chromosomal and Genetic Variations 22
- Co-authors
- Chengyi Song (33 shared papers)Bo Gao (18 shared papers)Dan Shen (10 shared papers)Xiaoyan Wang (14 shared papers)Saisai Wang (10 shared papers)Yali Wang (8 shared papers)Hengmi Cui (2 shared papers)Songlei Xue (2 shared papers)
- Journals
- Animals (9 papers)Mobile DNA (7 papers)Nucleic Acids Research (3 papers)Microbes and Infection (3 papers)Genes (3 papers)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Cai Chen
60 papers receiving 702 citations
Peers
Comparison fields: 5 of 88
- Molecular Biology 449
- Plant Science 237
- Cancer Research 67
- Genetics 114
- Hematology 26
Countries citing papers authored by Cai Chen
This map shows the geographic impact of Cai 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 Cai Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cai Chen more than expected).
Fields of papers citing papers by Cai Chen
This network shows the impact of papers produced by Cai 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 Cai Chen. The network helps show where Cai Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Cai 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
Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 69 | |
| 2 | 2016 | 57 | |
| 3 | 2013 | 53 | |
| 4 | 2020 | 39 | |
| 5 | 2015 | 28 | |
| 6 | 2019 | 26 | |
| 7 | 2019 | 26 | |
| 8 | 2020 | 23 | |
| 9 | 2019 | 23 | |
| 10 | 2017 | 20 | |
| 11 | 2021 | 18 | |
| 12 | 2017 | 18 | |
| 13 | 2018 | 17 | |
| 14 | 2021 | 16 | |
| 15 | 2013 | 16 | |
| 16 | 2020 | 16 | |
| 17 | 2021 | 15 | |
| 18 | 2014 | 14 | |
| 19 | 2021 | 13 | |
| 20 | 2016 | 13 |
About Cai Chen
Cai Chen is a scholar working on Molecular Biology, Plant Science, Genetics, Cancer Research and Epidemiology, having authored 64 papers that have together received 706 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (22 papers), Genomics and Phylogenetic Studies (12 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers), CRISPR and Genetic Engineering (7 papers), Advanced biosensing and bioanalysis techniques (5 papers), RNA Research and Splicing (3 papers), Acute Lymphoblastic Leukemia research (3 papers) and Mycobacterium research and diagnosis (3 papers). The work is most often cited by research in Molecular Biology (449 citations), Plant Science (237 citations), Cancer Research (67 citations), Genetics (114 citations) and Hematology (26 citations). Cai Chen has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Chengyi Song, Bo Gao, Dan Shen, Xiaoyan Wang, Saisai Wang, Yali Wang, Hengmi Cui, Songlei Xue, Mohamed Diaby and Lijun Tang. Their work appears in journals such as Animals, Mobile DNA, Nucleic Acids Research, Microbes and Infection and Genes.
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.