Kai Song
- Biochemistry top 5%
- Sulfur Compounds in Biology 5
- Geochemistry and Petrology top 10%
- Groundwater and Isotope Geochemistry 8
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- Cancer Genomics and Diagnostics 5
- Control and Systems Engineering top 10%
- Fault Detection and Control Systems 20
- Aquatic Science top 10%
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- Mineral Processing and Grinding 12
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- Spectroscopy and Chemometric Analyses 11
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- RNA modifications and cancer 7
- Gene expression and cancer classification 5
- Journals
- SHILAP Revista de lepidopterología (2 papers)Journal of Power Sources (1 paper)Scientific Reports (5 papers)
- Partner nations
- ChinaUnited StatesSudan
In The Last Decade
Kai Song
89 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 141
- Biochemistry 149
- Geochemistry and Petrology 75
- Cancer Research 104
- Control and Systems Engineering 155
- Aquatic Science 46
Countries citing papers authored by Kai Song
This map shows the geographic impact of Kai 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 Kai Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Song more than expected).
Fields of papers citing papers by Kai Song
This network shows the impact of papers produced by Kai 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 Kai Song. The network helps show where Kai Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kai 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 11 | |
| 8 | 2023 | 17 | |
| 9 | 2023 | 6 | |
| 10 | 2020 | 4 | |
| 11 | TMEM17 promotes malignant progression of breast cancer via AKT/GSK3β signaling | 2018 | 2 |
| 12 | 2018 | 19 | |
| 13 | 2017 | 61 | |
| 14 | 2012 | 10 | |
| 15 | 2012 | 15 | |
| 16 | 2011 | 3 | |
| 17 | The Application of Fuzzy C-means Algorithm in Multivariate Image Segmentation | 2008 | 1 |
| 18 | Aplication in the tooth disease case is diagnosed of tree algorithm of IBLE decision | 2006 | 1 |
| 19 | 2001 | 92 | |
| 20 | 重篤な再生不良性貧血のための骨髄移植(BMT)と兵庫の白血病 | 1987 | 2 |
About Kai Song
Kai Song is a scholar working on Geochemistry and Petrology, Analytical Chemistry and Control and Systems Engineering, having authored 96 papers that have together received 1.2k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (20 papers), Mineral Processing and Grinding (12 papers), Spectroscopy and Chemometric Analyses (11 papers), Groundwater and Isotope Geochemistry (8 papers), RNA modifications and cancer (7 papers), Cancer Genomics and Diagnostics (5 papers), Sulfur Compounds in Biology (5 papers) and Gene expression and cancer classification (5 papers). The work is most often cited by research in Biochemistry (149 citations), Geochemistry and Petrology (75 citations) and Cancer Research (104 citations). Kai Song has collaborated with scholars based in China, United States and Sudan. Frequent co-authors include Adi F. Gazdar, Dan Liu, Xiao‐Guang Yue, Die Hu, Yao Tong, Fang Wu, Guy Lagaud, C. van Breemen, Gregory P. Dubé and Esther Masih‐Khan. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Power Sources and Scientific Reports.
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.