Songqing Fan
- Cancer Research top 0.5%
- Cancer-related molecular mechanisms research 28
- MicroRNA in disease regulation 15
- Oncology top 2%
- Cancer-related Molecular Pathways 16
- Peptidase Inhibition and Analysis 14
- Molecular Biology top 2%
- RNA modifications and cancer 35
- PI3K/AKT/mTOR signaling in cancer 15
- Chromatin Remodeling and Cancer 14
- Immunology top 5%
- Cell Biology top 5%
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- Lung Cancer Treatments and Mutations 20
- Co-authors
- Yuting ZhanQiuyuan WenGuiyuan LiJiadi LuoHongjing ZangShi‐Yong SunWeiyuan WangHongmei Zheng
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)Journal of Clinical Investigation (2 papers)
- Partner nations
- ChinaUnited StatesSaudi Arabia
In The Last Decade
Songqing Fan
183 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Cancer Research 1.7k
- Oncology 1.6k
- Molecular Biology 3.8k
- Immunology 599
- Cell Biology 412
Countries citing papers authored by Songqing Fan
This map shows the geographic impact of Songqing Fan'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 Songqing Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Songqing Fan more than expected).
Fields of papers citing papers by Songqing Fan
This network shows the impact of papers produced by Songqing Fan. 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 Songqing Fan. The network helps show where Songqing Fan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Songqing Fan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 10 | |
| 4 | 2023 | 18 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 9 | |
| 8 | 2022 | 9 | |
| 9 | 2021 | 50 | |
| 10 | 2021 | 34 | |
| 11 | 2020 | 38 | |
| 12 | 2020 | 4 | |
| 13 | Prognostic analysis of patients with mutant and wild-type EGFR gene lung adenocarcinoma | 2019 | 1 |
| 14 | 2019 | 20 | |
| 15 | 2017 | 22 | |
| 16 | 2014 | 1 | |
| 17 | 2014 | 12 | |
| 18 | 2012 | 33 | |
| 19 | 2012 | 1 | |
| 20 | A new method to construct the cell microarrays and its application | 2004 | 1 |
About Songqing Fan
Songqing Fan is a scholar working on Cancer Research, Oncology and Molecular Biology, having authored 185 papers that have together received 5.2k indexed citations. Recurring topics across this work include RNA modifications and cancer (35 papers), Cancer-related molecular mechanisms research (28 papers), Lung Cancer Treatments and Mutations (20 papers), Cancer-related Molecular Pathways (16 papers), PI3K/AKT/mTOR signaling in cancer (15 papers), MicroRNA in disease regulation (15 papers), Chromatin Remodeling and Cancer (14 papers) and Peptidase Inhibition and Analysis (14 papers). The work is most often cited by research in Cancer Research (1.7k citations), Oncology (1.6k citations) and Molecular Biology (3.8k citations). Songqing Fan has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Yuting Zhan, Qiuyuan Wen, Guiyuan Li, Jiadi Luo, Hongjing Zang, Shi‐Yong Sun, Weiyuan Wang, Hongmei Zheng, Juan Feng and Fadlo R. Khuri. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.