Dwight Kuo
Impact in
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- Gene Regulatory Network Analysis
- DNA Repair Mechanisms
- Fungal and yeast genetics research
- Genomics and Chromatin Dynamics
- Microbial Metabolic Engineering and Bioproduction
Papers in
-
- Gene Regulatory Network Analysis 4
- DNA Repair Mechanisms 3
- Bioinformatics and Genomic Networks 3
- Fungal and yeast genetics research 3
- Genomics and Chromatin Dynamics 2
- Co-authors
- Wolfgang Banzhaf (5 shared papers)André Leier (4 shared papers)Trey Ideker (3 shared papers)Ziv Bar‐Joseph (2 shared papers)Katherine Noelani Chang (1 shared paper)Joseph R. Nery (1 shared paper)Huaming Chen (1 shared paper)Bing Ren (1 shared paper)
- Journals
- eLife (1 paper)Cell Reports (1 paper)Microbial Cell Factories (1 paper)The EMBO Journal (1 paper)Biosystems (1 paper)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Dwight Kuo
20 papers receiving 1.4k citations
Dwight Kuo's Hit Papers
Peers
Comparison fields: 5 of 118
- Molecular Biology 946
- Aging 19
- Plant Science 398
- Genetics 163
- Cell Biology 80
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 | 374 |
| 2 | 2010 | 348 | |
| 3 | 2012 | 157 | |
| 4 | 2023 | 118 | |
| 5 | 2006 | 70 | |
| 6 | 2013 | 61 | |
| 7 | 2012 | 61 | |
| 8 | 2012 | 56 | |
| 9 | 2012 | 34 | |
| 10 | 2010 | 33 | |
| 11 | 2004 | 25 | |
| 12 | 2005 | 23 | |
| 13 | 2006 | 20 | |
| 14 | 2005 | 16 | |
| 15 | 2004 | 9 | |
| 16 | 2024 | 9 | |
| 17 | 2005 | 5 | |
| 18 | 2007 | 4 | |
| 19 | Improved Facial Feature Extraction for Model-Based Multimedia | 2005 | 2 |
| 20 | 2004 | 2 |
About Dwight Kuo
Dwight Kuo is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Artificial Intelligence, Genetics and Cell Biology, having authored 20 papers that have together received 1.4k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (4 papers), DNA Repair Mechanisms (3 papers), Bioinformatics and Genomic Networks (3 papers), Fungal and yeast genetics research (3 papers), Evolutionary Algorithms and Applications (2 papers), Evolution and Genetic Dynamics (2 papers), Genomics and Chromatin Dynamics (2 papers) and Neural Networks and Reservoir Computing (2 papers). The work is most often cited by research in Molecular Biology (946 citations), Aging (19 citations), Plant Science (398 citations), Genetics (163 citations) and Cell Biology (80 citations). Dwight Kuo has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Wolfgang Banzhaf, André Leier, Trey Ideker, Ziv Bar‐Joseph, Katherine Noelani Chang, Joseph R. Nery, Huaming Chen, Bing Ren, Hai Li and Ally W. H. Yang. Their work appears in journals such as eLife, Cell Reports, Microbial Cell Factories, The EMBO Journal and Biosystems.
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.