Fan Song
- Molecular Biology top 5%
- Ecology, Evolution, Behavior and Systematics top 1%
- Insect Science top 0.5%
- Plant Science top 5%
- Genetics top 5%
- Topics
- Genomics and Phylogenetic Studies (36 papers)Phytoplasmas and Hemiptera pathogens (25 papers)Hemiptera Insect Studies (25 papers)
- Journals
- Nucleic Acids ResearchNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Fan Song
104 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Molecular Biology 1.9k
- Ecology, Evolution, Behavior and Systematics 935
- Insect Science 725
- Plant Science 705
- Genetics 648
Countries citing papers authored by Fan Song
This map shows the geographic impact of Fan 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 Fan Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fan Song more than expected).
Fields of papers citing papers by Fan Song
This network shows the impact of papers produced by Fan 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 Fan Song. The network helps show where Fan Song may publish in the future.
Co-authorship network of co-authors of Fan Song
This figure shows the co-authorship network connecting the top 25 collaborators of Fan Song. A scholar is included among the top collaborators of Fan 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 Fan Song. Fan 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 | 1 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 13 | |
| 5 | 10 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 12 | |
| 9 | 20 | |
| 10 | 3 | |
| 11 | 28 | |
| 12 | 14 | |
| 13 | 36 | |
| 14 | 5 | |
| 15 | 1 | |
| 16 | 283 | |
| 17 | 49 | |
| 18 | 9 | |
| 19 | 34 | |
| 20 | 38 |
About Fan Song
Fan Song is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics and Genetics, having authored 108 papers that have together received 3.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (36 papers), Phytoplasmas and Hemiptera pathogens (25 papers) and Hemiptera Insect Studies (25 papers). The work is most often cited by research in Insect Science (725 citations), Ecology, Evolution, Behavior and Systematics (935 citations) and Molecular Biology (1.9k citations). Fan Song has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hu Li, Wanzhi Cai, Pei Jiang, Feng Yue, Xuguo Zhou, Ross C. Hardison, Jinpeng Liu, Renfu Shao, Tao Yang and Qunhua Li. Their work appears in journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.
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.