Kai Gao
Impact in
- Molecular Biology top 10%
- Microbial Metabolic Engineering and Bioproduction
- Plant Reproductive Biology
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- Environmental Toxicology and Ecotoxicology
Papers in
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- Microbial Metabolic Engineering and Bioproduction 11
- Plant Reproductive Biology 8
- Muscle Physiology and Disorders 7
- Plant Gene Expression Analysis 7
- Photosynthetic Processes and Mechanisms 7
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- Plant Molecular Biology Research 13
- Co-authors
- Lars Rehmann (5 shared papers)Xinmin An (21 shared papers)Zhong Chen (13 shared papers)Valerie Orr (1 shared paper)Ingvar Brandt (5 shared papers)Maria Jönsson (5 shared papers)Antonio Marzocchella (1 shared paper)Xiong Yang (10 shared papers)
- Journals
- Scientific Reports (6 papers)Bioresource Technology (4 papers)Plants (3 papers)Transgenic Research (3 papers)Agronomy (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Kai Gao
122 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 147
- Molecular Biology 832
- Health, Toxicology and Mutagenesis 165
- Biomedical Engineering 507
- Plant Science 382
- Pollution 93
Countries citing papers authored by Kai Gao
This map shows the geographic impact of Kai Gao'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 Kai Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Gao more than expected).
Fields of papers citing papers by Kai Gao
This network shows the impact of papers produced by Kai Gao. 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 Kai Gao. The network helps show where Kai Gao may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Gao, 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 125 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 104 | |
| 2 | 2014 | 92 | |
| 3 | 2020 | 89 | |
| 4 | 2016 | 84 | |
| 5 | 2014 | 82 | |
| 6 | 2014 | 72 | |
| 7 | 2016 | 66 | |
| 8 | 2019 | 59 | |
| 9 | 2015 | 58 | |
| 10 | 2013 | 56 | |
| 11 | 2010 | 48 | |
| 12 | 2018 | 47 | |
| 13 | 2007 | 44 | |
| 14 | 2018 | 42 | |
| 15 | 2012 | 40 | |
| 16 | 2011 | 39 | |
| 17 | 2018 | 36 | |
| 18 | 2018 | 36 | |
| 19 | 2015 | 33 | |
| 20 | 2017 | 31 |
About Kai Gao
Kai Gao is a scholar working on Molecular Biology, Plant Science, Biomedical Engineering, Electrical and Electronic Engineering and Epidemiology, having authored 125 papers that have together received 2.1k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (13 papers), Microbial Metabolic Engineering and Bioproduction (11 papers), Biofuel production and bioconversion (11 papers), Plant Reproductive Biology (8 papers), Muscle Physiology and Disorders (7 papers), Plant Gene Expression Analysis (7 papers), Photosynthetic Processes and Mechanisms (7 papers) and Adipose Tissue and Metabolism (6 papers). The work is most often cited by research in Molecular Biology (832 citations), Health, Toxicology and Mutagenesis (165 citations), Biomedical Engineering (507 citations), Plant Science (382 citations) and Pollution (93 citations). Kai Gao has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Lars Rehmann, Xinmin An, Zhong Chen, Valerie Orr, Ingvar Brandt, Maria Jönsson, Antonio Marzocchella, Xiong Yang, Jared V. Goldstone and Xiaoxing Su. Their work appears in journals such as Scientific Reports, Bioresource Technology, Plants, Transgenic Research and Agronomy.
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.