Jinghui Song
- Molecular Biology top 5%
- Cancer Research top 5%
- Physiology top 10%
- Plant Science top 10%
- Cellular and Molecular Neuroscience top 10%
- Topics
- RNA modifications and cancer (12 papers)Alzheimer's disease research and treatments (12 papers)Cervical Cancer and HPV Research (9 papers)
- Journals
- Proceedings of the National Academy of SciencesAngewandte Chemie International EditionNature Communications
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jinghui Song
87 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Molecular Biology 1.6k
- Cancer Research 468
- Physiology 273
- Plant Science 263
- Cellular and Molecular Neuroscience 188
Countries citing papers authored by Jinghui Song
This map shows the geographic impact of Jinghui 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 Jinghui Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinghui Song more than expected).
Fields of papers citing papers by Jinghui Song
This network shows the impact of papers produced by Jinghui 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 Jinghui Song. The network helps show where Jinghui Song may publish in the future.
Co-authorship network of co-authors of Jinghui Song
This figure shows the co-authorship network connecting the top 25 collaborators of Jinghui Song. A scholar is included among the top collaborators of Jinghui Song based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jinghui Song. Jinghui Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 12 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 3 | |
| 10 | 14 | |
| 11 | 13 | |
| 12 | 3 | |
| 13 | 19 | |
| 14 | 85 | |
| 15 | 21 | |
| 16 | Fault analysis and reconstruction of slag disposal system for 440 t/h CFB boiler | 1 |
| 17 | 59 | |
| 18 | Effects of Color Differentiation and Seed Size of Soybean on Isoflavone Concentration in Soybean | 5 |
| 19 | Commissioning Test and Improvement on Combustion System of Likeng Waste-to-Energy Plant | 1 |
| 20 | RESEARCH PROGRESS OF APOPTOSIS | 1 |
About Jinghui Song
Jinghui Song is a scholar working on Energy Engineering and Power Technology, Biological Psychiatry and Microbiology, having authored 91 papers that have together received 2.9k indexed citations. Recurring topics across this work include RNA modifications and cancer (12 papers), Alzheimer's disease research and treatments (12 papers) and Cervical Cancer and HPV Research (9 papers). The work is most often cited by research in Biological Psychiatry (87 citations), Cancer Research (468 citations) and Molecular Biology (1.6k citations). Jinghui Song has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Chengqi Yi, Lan Tan, Jin‐Tai Yu, Xiaoyu Li, Shiqing Ma, Fangfang Sun, Ping Zhu, Chun‐Xiao Song, Lin-Yong Zhao and Yibin Liu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Nature Communications.
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.