Xiaolan Su
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- RNA modifications and cancer 5
- RNA Interference and Gene Delivery 3
- Angiogenesis and VEGF in Cancer 3
- Epigenetics and DNA Methylation 3
- Oncology 13
- Cancer Cells and Metastasis 3
- Cytokine Signaling Pathways and Interactions 3
- Co-authors
- Yuquan Wei (15 shared papers)Lei Dai (21 shared papers)Hongxin Deng (21 shared papers)Lin Cheng (12 shared papers)Gang Shi (13 shared papers)Yuqin Yao (9 shared papers)Xinmei Luo (5 shared papers)Qianqian Jiang (5 shared papers)
- Journals
- Oncotarget (2 papers)Journal of Cancer Research and Clinical Oncology (2 papers)Mucosal Immunology (2 papers)Journal of Cellular and Molecular Medicine (2 papers)Stem Cell Research & Therapy (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaolan Su
43 papers receiving 960 citations
Peers
Comparison fields: 5 of 87
- Cancer Research 187
- Immunology 181
- Oncology 204
- Molecular Biology 456
- Biomaterials 78
Countries citing papers authored by Xiaolan Su
This map shows the geographic impact of Xiaolan Su'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 Xiaolan Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolan Su more than expected).
Fields of papers citing papers by Xiaolan Su
This network shows the impact of papers produced by Xiaolan Su. 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 Xiaolan Su. The network helps show where Xiaolan Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaolan Su, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 91 | |
| 2 | 2014 | 82 | |
| 3 | 2017 | 62 | |
| 4 | 2012 | 44 | |
| 5 | 2016 | 40 | |
| 6 | 2017 | 38 | |
| 7 | 2015 | 36 | |
| 8 | 2015 | 34 | |
| 9 | 2020 | 33 | |
| 10 | 2017 | 32 | |
| 11 | 2020 | 28 | |
| 12 | 2019 | 27 | |
| 13 | 2018 | 27 | |
| 14 | 2012 | 24 | |
| 15 | 2022 | 23 | |
| 16 | 2018 | 22 | |
| 17 | 2012 | 21 | |
| 18 | 2019 | 20 | |
| 19 | 2012 | 20 | |
| 20 | 2019 | 19 |
About Xiaolan Su
Xiaolan Su is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Surgery, having authored 44 papers that have together received 970 indexed citations. Recurring topics across this work include RNA modifications and cancer (5 papers), RNA Interference and Gene Delivery (3 papers), Cancer Cells and Metastasis (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Epigenetics and DNA Methylation (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), Cancer-related molecular mechanisms research (3 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Cancer Research (187 citations), Immunology (181 citations), Oncology (204 citations), Molecular Biology (456 citations) and Biomaterials (78 citations). Xiaolan Su has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yuquan Wei, Lei Dai, Hongxin Deng, Lin Cheng, Gang Shi, Yuqin Yao, Xinmei Luo, Qianqian Jiang, Xiaolei Chen and Shuang Zhang. Their work appears in journals such as Oncotarget, Journal of Cancer Research and Clinical Oncology, Mucosal Immunology, Journal of Cellular and Molecular Medicine and Stem Cell Research & Therapy.
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.