Zehan Dai
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- Immunology top 2%
- Immune cells in cancer
Papers in
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- Cocoa and Sweet Potato Agronomy 5
Zehan Dai
17 papers receiving 8.1k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Cancer Research 1.3k
- Immunology 1.4k
- Molecular Biology 4.4k
- Aging 82
- Horticulture 44
Countries citing papers authored by Zehan Dai
This map shows the geographic impact of Zehan 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 Zehan Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zehan Dai more than expected).
Fields of papers citing papers by Zehan Dai
This network shows the impact of papers produced by Zehan 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 Zehan Dai. The network helps show where Zehan Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Zehan 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 | 2024 | 4 | |
| 2 | 2024 | 0 | |
| 3 | MicrobiotaProcess: A comprehensive R package for deep mining microbiome Hit paper breakdown → | 2023 | 154 |
| 4 | 2023 | 5 | |
| 5 | 2022 | 3 | |
| 6 | Ggtree : A serialized data object for visualization of a phylogenetic tree and annotation data Hit paper breakdown → | 2022 | 182 |
| 7 | 2022 | 4 | |
| 8 | 2022 | 109 | |
| 9 | ggtreeExtra: Compact Visualization of Richly Annotated Phylogenetic Data Hit paper breakdown → | 2021 | 177 |
| 10 | clusterProfiler 4.0: A universal enrichment tool for interpreting omics data Hit paper breakdown → | 2021 | 7083 |
| 11 | 2021 | 5 | |
| 12 | 2021 | 14 | |
| 13 | 2019 | 4 | |
| 14 | Treeio: An R Package for Phylogenetic Tree Input and Output with Richly Annotated and Associated Data Hit paper breakdown → | 2019 | 325 |
| 15 | 2018 | 11 | |
| 16 | 2018 | 5 | |
| 17 | 2015 | 41 | |
| 18 | [Study on evolutionary genetics of Drosophila auraria species complex--cladistic analysis and phenetic analysis]. | 1994 | 2 |
About Zehan Dai
Zehan Dai is a scholar working on Horticulture, Ecological Modeling, Insect Science, Molecular Medicine and Plant Science, having authored 18 papers that have together received 8.1k indexed citations. Recurring topics across this work include Phytoplasmas and Hemiptera pathogens (7 papers), Cocoa and Sweet Potato Agronomy (5 papers), Genomics and Phylogenetic Studies (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Plant Pathogenic Bacteria Studies (3 papers), Insect symbiosis and bacterial influences (3 papers), Bioinformatics and Genomic Networks (3 papers) and Gut microbiota and health (3 papers). The work is most often cited by research in Cancer Research (1.3k citations), Immunology (1.4k citations), Molecular Biology (4.4k citations), Aging (82 citations) and Horticulture (44 citations). Zehan Dai has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shuangbin Xu, Guangchuang Yu, Lang Zhou, Tingze Feng, Li Zhan, Wenli Tang, Meijun Chen, Tianzhi Wu, Erqiang Hu and Xiaochen Bo. Their work appears in journals such as Frontiers in Microbiology, Molecular Biology and Evolution, The Innovation, Phytopathology and Journal of Integrative Agriculture.
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.