Li Song
- Molecular Biology top 5%
- Immunology top 5%
- Ecology top 5%
- Genetics top 5%
- Epidemiology top 10%
- Co-authors
- Liliana FloreaChristian SchindlerSteven L. SalzbergFlorian P. BreitwieserDaehwan KimJoel S. PachterBen LangmeadCarolyn Lee
- Topics
- Genomics and Phylogenetic Studies (10 papers)Antimicrobial Resistance in Staphylococcus (9 papers)Streptococcal Infections and Treatments (6 papers)
- Journals
- Journal of Clinical InvestigationNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Li Song
93 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Molecular Biology 1.8k
- Immunology 897
- Ecology 531
- Genetics 415
- Epidemiology 370
Countries citing papers authored by Li Song
This map shows the geographic impact of Li 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 Li Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Song more than expected).
Fields of papers citing papers by Li Song
This network shows the impact of papers produced by Li 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 Li Song. The network helps show where Li Song may publish in the future.
Co-authorship network of co-authors of Li Song
This figure shows the co-authorship network connecting the top 25 collaborators of Li Song. A scholar is included among the top collaborators of Li 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 Li Song. Li 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 | 1 | |
| 4 | 1 | |
| 5 | 18 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 78 | |
| 9 | 7 | |
| 10 | EFEMP2 Suppresses the Invasion of Lung Cancer Cells by Inhibiting Epithelial-Mesenchymal Transition (EMT) and Down-Regulating MMPs | 2 |
| 11 | 36 | |
| 12 | 16 | |
| 13 | 49 | |
| 14 | Centrifuge: rapid and sensitive classification of metagenomic sequencesbreakdown → | 820 |
| 15 | 157 | |
| 16 | 178 | |
| 17 | 40 | |
| 18 | Analysis for antimicrobial susceptibility of Streptococcus suis isolated from Sichuan Province | 1 |
| 19 | 112 | |
| 20 | 3 |
About Li Song
Li Song is a scholar working on Molecular Medicine, Cancer Research and Immunology, having authored 96 papers that have together received 3.8k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (10 papers), Antimicrobial Resistance in Staphylococcus (9 papers) and Streptococcal Infections and Treatments (6 papers). The work is most often cited by research in Molecular Medicine (220 citations), Immunology (897 citations) and Molecular Biology (1.8k citations). Li Song has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Liliana Florea, Christian Schindler, Steven L. Salzberg, Florian P. Breitwieser, Daehwan Kim, Joel S. Pachter, Ben Langmead, Carolyn Lee, Zheng Ma and X. Shirley Liu. Their work appears in journals such as Journal of Clinical Investigation, 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.