Dan Shen
Impact in
- Plant Science top 10%
- Chromosomal and Genetic Variations
- Plant Virus Research Studies
-
- Genomics and Phylogenetic Studies
- Advanced biosensing and bioanalysis techniques
- CRISPR and Genetic Engineering
- Protist diversity and phylogeny
Papers in
-
- Genomics and Phylogenetic Studies 9
- CRISPR and Genetic Engineering 9
- Advanced biosensing and bioanalysis techniques 7
-
- Chromosomal and Genetic Variations 17
- Plant Virus Research Studies 3
- Co-authors
- Bo Gao (21 shared papers)Chengyi Song (21 shared papers)Cai Chen (11 shared papers)Yali Wang (11 shared papers)Saisai Wang (11 shared papers)Songlei Xue (4 shared papers)Hengmi Cui (2 shared papers)Xiaoyan Wang (5 shared papers)
- Journals
- Mobile DNA (4 papers)IEEE Internet of Things Journal (2 papers)Nucleic Acids Research (2 papers)Genome Biology and Evolution (2 papers)Genes (2 papers)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Dan Shen
42 papers receiving 424 citations
Peers
Comparison fields: 5 of 81
- Plant Science 204
- Molecular Biology 266
- Genetics 83
- Aerospace Engineering 47
- Cancer Research 23
Countries citing papers authored by Dan Shen
This map shows the geographic impact of Dan Shen'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 Dan Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Shen more than expected).
Fields of papers citing papers by Dan Shen
This network shows the impact of papers produced by Dan Shen. 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 Dan Shen. The network helps show where Dan Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Shen, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 69 | |
| 2 | 2020 | 38 | |
| 3 | 2019 | 26 | |
| 4 | 2019 | 25 | |
| 5 | 2017 | 25 | |
| 6 | 2020 | 23 | |
| 7 | 2015 | 22 | |
| 8 | 2017 | 20 | |
| 9 | 2020 | 20 | |
| 10 | 2017 | 18 | |
| 11 | 2022 | 18 | |
| 12 | 2021 | 17 | |
| 13 | 2024 | 15 | |
| 14 | 2016 | 10 | |
| 15 | 2008 | 9 | |
| 16 | 2021 | 7 | |
| 17 | 2018 | 7 | |
| 18 | 2023 | 6 | |
| 19 | 2009 | 6 | |
| 20 | 2020 | 6 |
About Dan Shen
Dan Shen is a scholar working on Molecular Biology, Plant Science, Aerospace Engineering, Genetics and Computer Networks and Communications, having authored 45 papers that have together received 429 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (17 papers), Genomics and Phylogenetic Studies (9 papers), CRISPR and Genetic Engineering (9 papers), Advanced biosensing and bioanalysis techniques (7 papers), Advanced Frequency and Time Standards (5 papers), Animal Genetics and Reproduction (5 papers), Inertial Sensor and Navigation (3 papers) and Plant Virus Research Studies (3 papers). The work is most often cited by research in Plant Science (204 citations), Molecular Biology (266 citations), Genetics (83 citations), Aerospace Engineering (47 citations) and Cancer Research (23 citations). Dan Shen has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Bo Gao, Chengyi Song, Cai Chen, Yali Wang, Saisai Wang, Songlei Xue, Hengmi Cui, Xiaoyan Wang, Mohamed Diaby and Zoltán Ivics. Their work appears in journals such as Mobile DNA, IEEE Internet of Things Journal, Nucleic Acids Research, Genome Biology and Evolution 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.