Dwight Kuo
Impact in
- Plant Science top 10%
- Plant Molecular Biology Research
- Plant Stress Responses and Tolerance
- Postharvest Quality and Shelf Life Management
- Plant responses to water stress
-
- DNA Repair Mechanisms
- Fungal and yeast genetics research
- Gene Regulatory Network Analysis
- Genomics and Chromatin Dynamics
Papers in
-
- Bioinformatics and Genomic Networks 3
- DNA Repair Mechanisms 2
- Fungal and yeast genetics research 2
- Genomics and Chromatin Dynamics 2
- Gene Regulatory Network Analysis 2
-
- Face recognition and analysis 2
- Co-authors
- Trey Ideker (4 shared papers)Ziv Bar‐Joseph (2 shared papers)André Leier (2 shared papers)Wolfgang Banzhaf (2 shared papers)Mark A. Urich (1 shared paper)Mattia Pelizzola (1 shared paper)Shan Zhong (1 shared paper)Matthew T. Weirauch (1 shared paper)
- Journals
- Genome Research (1 paper)Advances in Complex Systems (1 paper)Cell Reports (1 paper)Genome biology (1 paper)Neurocomputing (1 paper)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Dwight Kuo
15 papers receiving 730 citations
Dwight Kuo's Hit Papers
Peers
Comparison fields: 5 of 89
- Plant Science 353
- Molecular Biology 457
- Genetics 103
- Horticulture 3
- Cell Biology 47
Countries citing papers authored by Dwight Kuo
This map shows the geographic impact of Dwight Kuo'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 Dwight Kuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dwight Kuo more than expected).
Fields of papers citing papers by Dwight Kuo
This network shows the impact of papers produced by Dwight Kuo. 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 Dwight Kuo. The network helps show where Dwight Kuo may publish in the future.
Co-authors
The 25 scholars most cited alongside Dwight Kuo, 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 | Temporal transcriptional response to ethylene gas drives growth hormone cross-regulation in Arabidopsis Hit paper breakdown → | 2013 | 341 |
| 2 | 2006 | 64 | |
| 3 | 2010 | 60 | |
| 4 | 2012 | 59 | |
| 5 | 2013 | 59 | |
| 6 | 2012 | 51 | |
| 7 | 2010 | 35 | |
| 8 | 2012 | 31 | |
| 9 | 2005 | 22 | |
| 10 | 2005 | 12 | |
| 11 | 2024 | 6 | |
| 12 | 2005 | 4 | |
| 13 | 2007 | 3 | |
| 14 | Improved Facial Feature Extraction for Model-Based Multimedia | 2005 | 2 |
| 15 | 2004 | 2 |
About Dwight Kuo
Dwight Kuo is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Artificial Intelligence, Cell Biology and Genetics, having authored 15 papers that have together received 751 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (3 papers), DNA Repair Mechanisms (2 papers), Fungal and yeast genetics research (2 papers), Face recognition and analysis (2 papers), Genomics and Chromatin Dynamics (2 papers), Zebrafish Biomedical Research Applications (2 papers), Gene Regulatory Network Analysis (2 papers) and Neural Networks and Reservoir Computing (2 papers). The work is most often cited by research in Plant Science (353 citations), Molecular Biology (457 citations), Genetics (103 citations), Horticulture (3 citations) and Cell Biology (47 citations). Dwight Kuo has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Trey Ideker, Ziv Bar‐Joseph, André Leier, Wolfgang Banzhaf, Mark A. Urich, Mattia Pelizzola, Shan Zhong, Matthew T. Weirauch, Shao‐shan Carol Huang and Gary C. Hon. Their work appears in journals such as Genome Research, Advances in Complex Systems, Cell Reports, Genome biology and Neurocomputing.
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.