Song Wu
- Molecular Biology top 10%
- Cancer Research top 5%
- Oncology top 10%
- Pathology and Forensic Medicine top 5%
- Pulmonary and Respiratory Medicine top 10%
- Topics
- Antimicrobial Resistance in Staphylococcus (16 papers)Biochemical and Structural Characterization (15 papers)Cancer-related molecular mechanisms research (14 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaBlood
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Song Wu
129 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 132
- Molecular Biology 1.2k
- Cancer Research 567
- Oncology 256
- Pathology and Forensic Medicine 229
- Pulmonary and Respiratory Medicine 225
Countries citing papers authored by Song Wu
This map shows the geographic impact of Song Wu'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 Song Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Wu more than expected).
Fields of papers citing papers by Song Wu
This network shows the impact of papers produced by Song Wu. 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 Song Wu. The network helps show where Song Wu may publish in the future.
Co-authorship network of co-authors of Song Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Song Wu. A scholar is included among the top collaborators of Song Wu 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 Song Wu. Song Wu 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 | 1 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 20 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 0 | |
| 9 | 9 | |
| 10 | 7 | |
| 11 | 9 | |
| 12 | 8 | |
| 13 | 11 | |
| 14 | 20 | |
| 15 | 14 | |
| 16 | MicroRNA-936 targets FGF2 to inhibit epithelial ovarian cancer aggressiveness by deactivating the PI3K/Akt pathway | 0 |
| 17 | TRIM14 promotes cell proliferation and inhibits apoptosis by suppressing PTEN in colorectal cancer | 3 |
| 18 | 36 | |
| 19 | Preliminary Study on Literature Search of Neiguan Point | 0 |
| 20 | Improvements on the new relaxation & bubble point method in the continuous distillation calculation | 1 |
About Song Wu
Song Wu is a scholar working on Biological Psychiatry, Cancer Research and Molecular Biology, having authored 137 papers that have together received 2.2k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (16 papers), Biochemical and Structural Characterization (15 papers) and Cancer-related molecular mechanisms research (14 papers). The work is most often cited by research in Cancer Research (567 citations), Biological Psychiatry (51 citations) and Molecular Biology (1.2k citations). Song Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shuang Jiang, Jinhuan Wei, Zhenhua Chen, Junhang Luo, Ming Hu, Jiaxing Zhang, Wei Chen, Hui‐Yun Wang, Bing Liao and Yi-Ji Liao. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.
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.