Siqing Shan
- Molecular Biology top 10%
- Cancer Research top 5%
- Biomedical Engineering top 10%
- Oncology top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Mark W. DewhirstRod D. BraunJennifer L. LanzenP. Charles LinKang HuQian HuangChuan-Yuan LiGillian M. Tozer
- Topics
- Angiogenesis and VEGF in Cancer (11 papers)Cancer, Hypoxia, and Metabolism (9 papers)Hemoglobinopathies and Related Disorders (4 papers)
- Cited by
- Cancer ResearchGeneticsBiophysics
- Journals
- Proceedings of the National Academy of SciencesBloodJNCI Journal of the National Cancer Institute
- Partner nations
- United StatesNetherlandsCanada
In The Last Decade
Siqing Shan
25 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 103
- Molecular Biology 893
- Cancer Research 469
- Biomedical Engineering 354
- Oncology 347
- Radiology, Nuclear Medicine and Imaging 200
Countries citing papers authored by Siqing Shan
This map shows the geographic impact of Siqing Shan'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 Siqing Shan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siqing Shan more than expected).
Fields of papers citing papers by Siqing Shan
This network shows the impact of papers produced by Siqing Shan. 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 Siqing Shan. The network helps show where Siqing Shan may publish in the future.
Co-authorship network of co-authors of Siqing Shan
This figure shows the co-authorship network connecting the top 25 collaborators of Siqing Shan. A scholar is included among the top collaborators of Siqing Shan 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 Siqing Shan. Siqing Shan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 42 | |
| 3 | 9 | |
| 4 | 11 | |
| 5 | 141 | |
| 6 | 137 | |
| 7 | 96 | |
| 8 | 88 | |
| 9 | 10 | |
| 10 | 16 | |
| 11 | 153 | |
| 12 | 77 | |
| 13 | 59 | |
| 14 | 33 | |
| 15 | 133 | |
| 16 | The novel tubulin-binding drug BTO-956 inhibits R3230AC mammary carcinoma growth and angiogenesis in Fischer 344 rats. | 29 |
| 17 | 268 | |
| 18 | 2 | |
| 19 | 32 | |
| 20 | 17 |
About Siqing Shan
Siqing Shan is a scholar working on Cancer Research, Genetics and Biophysics, having authored 25 papers that have together received 1.7k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (11 papers), Cancer, Hypoxia, and Metabolism (9 papers) and Hemoglobinopathies and Related Disorders (4 papers). The work is most often cited by research in Cancer Research (469 citations), Genetics (148 citations) and Biophysics (79 citations). Siqing Shan has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Mark W. Dewhirst, Rod D. Braun, Jennifer L. Lanzen, P. Charles Lin, Kang Hu, Qian Huang, Chuan-Yuan Li, Gillian M. Tozer, John Wilson and Paul R. Barber. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood and JNCI Journal of the National Cancer Institute.
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.