Dianjing Guo
Impact in
- Plant Science top 2%
- Plant Stress Responses and Tolerance
- Plant Molecular Biology Research
- Plant-Microbe Interactions and Immunity
- Biotechnology top 2%
- Biochemical and biochemical processes
Papers in
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- Plant Gene Expression Analysis 11
- Photosynthetic Processes and Mechanisms 9
- Plant biochemistry and biosynthesis 8
- Bioinformatics and Genomic Networks 8
- Machine Learning in Bioinformatics 7
- Gene expression and cancer classification 6
- Gene Regulatory Network Analysis 6
-
- Biochemical and biochemical processes 8
- Co-authors
- Fang Chen (6 shared papers)Richard Arthur Dixon (7 shared papers)Yejun Wang (13 shared papers)Jack W. Blount (4 shared papers)Parvathi Kota (4 shared papers)Kentaro Inoue (2 shared papers)Yong Li (12 shared papers)Wei Ji (7 shared papers)
- Journals
- PLoS ONE (5 papers)International Journal of Molecular Sciences (4 papers)Phytochemistry (4 papers)BMC Bioinformatics (4 papers)Bioinformatics (3 papers)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Dianjing Guo
64 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 108
- Plant Science 1.4k
- Biotechnology 262
- Molecular Biology 1.9k
- Agronomy and Crop Science 125
- Horticulture 11
Countries citing papers authored by Dianjing Guo
This map shows the geographic impact of Dianjing Guo'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 Dianjing Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dianjing Guo more than expected).
Fields of papers citing papers by Dianjing Guo
This network shows the impact of papers produced by Dianjing Guo. 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 Dianjing Guo. The network helps show where Dianjing Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Dianjing Guo, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 442 | |
| 2 | 2001 | 217 | |
| 3 | 2010 | 208 | |
| 4 | 2009 | 174 | |
| 5 | 2001 | 150 | |
| 6 | 2010 | 131 | |
| 7 | 2013 | 123 | |
| 8 | 2011 | 115 | |
| 9 | 2002 | 111 | |
| 10 | 2011 | 99 | |
| 11 | 2010 | 96 | |
| 12 | 2009 | 83 | |
| 13 | 2017 | 64 | |
| 14 | 2012 | 61 | |
| 15 | 2008 | 54 | |
| 16 | 2017 | 54 | |
| 17 | 2017 | 49 | |
| 18 | 2017 | 45 | |
| 19 | 2012 | 43 | |
| 20 | 2010 | 42 |
About Dianjing Guo
Dianjing Guo is a scholar working on Molecular Biology, Biotechnology, Plant Science, Microbiology and Biochemistry, having authored 66 papers that have together received 3.0k indexed citations. Recurring topics across this work include Plant Gene Expression Analysis (11 papers), Photosynthetic Processes and Mechanisms (9 papers), Biochemical and biochemical processes (8 papers), Plant biochemistry and biosynthesis (8 papers), Bioinformatics and Genomic Networks (8 papers), Machine Learning in Bioinformatics (7 papers), Gene expression and cancer classification (6 papers) and Gene Regulatory Network Analysis (6 papers). The work is most often cited by research in Plant Science (1.4k citations), Biotechnology (262 citations), Molecular Biology (1.9k citations), Agronomy and Crop Science (125 citations) and Horticulture (11 citations). Dianjing Guo has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Fang Chen, Richard Arthur Dixon, Yejun Wang, Jack W. Blount, Parvathi Kota, Kentaro Inoue, Yong Li, Wei Ji, Richard A. F. Dixon and Yanming Zhu. Their work appears in journals such as PLoS ONE, International Journal of Molecular Sciences, Phytochemistry, BMC Bioinformatics and Bioinformatics.
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.