Qun Li
Impact in
- Oncology top 10%
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
Papers in
- Oncology 33
- Cancer Immunotherapy and Biomarkers 7
- HER2/EGFR in Cancer Research 5
- Cancer-related Molecular Pathways 4
- Colorectal Cancer Treatments and Studies 4
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- RNA modifications and cancer 4
- Co-authors
- John H. Martin (1 shared paper)Daniel V. LaBarbera (1 shared paper)Qiong Zhou (1 shared paper)Chao‐Yu Chen (1 shared paper)Amit Kapadia (1 shared paper)Mary Kay Harper (1 shared paper)Jerome Schaack (1 shared paper)Yong Gao (5 shared papers)
- Journals
- Journal of Clinical Oncology (8 papers)Bioorganic & Medicinal Chemistry Letters (3 papers)Frontiers in Oncology (3 papers)Biomaterials (2 papers)Clinical Cancer Research (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Qun Li
53 papers receiving 790 citations
Peers
Comparison fields: 5 of 110
- Oncology 282
- Cancer Research 90
- Molecular Biology 312
- Pharmaceutical Science 25
- Organic Chemistry 111
Countries citing papers authored by Qun Li
This map shows the geographic impact of Qun Li'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 Qun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qun Li more than expected).
Fields of papers citing papers by Qun Li
This network shows the impact of papers produced by Qun Li. 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 Qun Li. The network helps show where Qun Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Qun Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 109 | |
| 2 | 2003 | 64 | |
| 3 | 2005 | 61 | |
| 4 | 2016 | 42 | |
| 5 | 2011 | 42 | |
| 6 | 2018 | 41 | |
| 7 | 2022 | 35 | |
| 8 | 2023 | 34 | |
| 9 | 2001 | 34 | |
| 10 | 1998 | 33 | |
| 11 | 2014 | 25 | |
| 12 | 1999 | 25 | |
| 13 | 2016 | 22 | |
| 14 | 2021 | 19 | |
| 15 | 2020 | 17 | |
| 16 | 2018 | 16 | |
| 17 | 2019 | 15 | |
| 18 | 2022 | 14 | |
| 19 | 2019 | 13 | |
| 20 | 2009 | 12 |
About Qun Li
Qun Li is a scholar working on Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Immunology, having authored 57 papers that have together received 809 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (7 papers), Radiopharmaceutical Chemistry and Applications (6 papers), HER2/EGFR in Cancer Research (5 papers), Nanoparticle-Based Drug Delivery (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Cancer-related Molecular Pathways (4 papers), RNA modifications and cancer (4 papers) and Colorectal Cancer Treatments and Studies (4 papers). The work is most often cited by research in Oncology (282 citations), Cancer Research (90 citations), Molecular Biology (312 citations), Pharmaceutical Science (25 citations) and Organic Chemistry (111 citations). Qun Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include John H. Martin, Daniel V. LaBarbera, Qiong Zhou, Chao‐Yu Chen, Amit Kapadia, Mary Kay Harper, Jerome Schaack, Yong Gao, Guang‐Rong Yan and Min Tang. Their work appears in journals such as Journal of Clinical Oncology, Bioorganic & Medicinal Chemistry Letters, Frontiers in Oncology, Biomaterials and Clinical Cancer Research.
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.