Kuo Song
Impact in
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- Algal biology and biofuel production
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- Photosynthetic Processes and Mechanisms
- Microbial Metabolic Engineering and Bioproduction
- Enzyme Catalysis and Immobilization
- Mitochondrial Function and Pathology
Papers in
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- Photosynthetic Processes and Mechanisms 10
- Mitochondrial Function and Pathology 6
- ATP Synthase and ATPases Research 5
- Microbial Metabolic Engineering and Bioproduction 2
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- Algal biology and biofuel production 5
- Co-authors
- Xuefeng Lü (7 shared papers)Xiaoming Tan (7 shared papers)Yajing Liang (1 shared paper)Wolfgang R. Hess (5 shared papers)Martin Hagemann (3 shared papers)Jens Georg (2 shared papers)Sandra Maaß (2 shared papers)Guodong Luan (1 shared paper)
In The Last Decade
Kuo Song
13 papers receiving 275 citations
Peers
Comparison fields: 5 of 46
- Renewable Energy, Sustainability and the Environment 165
- Molecular Biology 232
- Ecology 64
- Ecology, Evolution, Behavior and Systematics 36
- Environmental Engineering 22
Countries citing papers authored by Kuo Song
This map shows the geographic impact of Kuo Song'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 Kuo Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuo Song more than expected).
Fields of papers citing papers by Kuo Song
This network shows the impact of papers produced by Kuo Song. 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 Kuo Song. The network helps show where Kuo Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Kuo Song, 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 | 2016 | 103 | |
| 2 | 2018 | 42 | |
| 3 | 2018 | 40 | |
| 4 | 2021 | 34 | |
| 5 | 2016 | 14 | |
| 6 | 2021 | 13 | |
| 7 | 2017 | 12 | |
| 8 | 2022 | 8 | |
| 9 | 2024 | 4 | |
| 10 | 2018 | 3 | |
| 11 | 2024 | 2 | |
| 12 | 2022 | 1 | |
| 13 | 2018 | 1 | |
| 14 | 2025 | 0 |
About Kuo Song
Kuo Song is a scholar working on Molecular Biology, Renewable Energy, Sustainability and the Environment, Ecology, Evolution, Behavior and Systematics, Ecology and Environmental Chemistry, having authored 14 papers that have together received 277 indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (10 papers), Mitochondrial Function and Pathology (6 papers), Algal biology and biofuel production (5 papers), ATP Synthase and ATPases Research (5 papers), Biocrusts and Microbial Ecology (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Aquatic Ecosystems and Phytoplankton Dynamics (1 paper) and Microbial Metabolites in Food Biotechnology (1 paper). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (165 citations), Molecular Biology (232 citations), Ecology (64 citations), Ecology, Evolution, Behavior and Systematics (36 citations) and Environmental Engineering (22 citations). Kuo Song has collaborated with scholars based in Germany, China and Australia. Frequent co-authors include Xuefeng Lü, Xiaoming Tan, Yajing Liang, Wolfgang R. Hess, Martin Hagemann, Jens Georg, Sandra Maaß, Guodong Luan, Stephan Klähn and Dörte Becher. Their work appears in journals such as Cell Reports, Frontiers in Microbiology, Applied Microbiology and Biotechnology, Microbiology Spectrum and Current Biology.
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.