Shuling Zhou
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Developmental Neuroscience top 10%
Papers in
- Oncology 11
- HER2/EGFR in Cancer Research 4
- Cancer Cells and Metastasis 3
- Inflammatory Biomarkers in Disease Prognosis 2
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- Breast Cancer Treatment Studies 4
- Co-authors
- Wentao Yang (18 shared papers)Ming Li (6 shared papers)Anqi Li (5 shared papers)Hong Lv (9 shared papers)Yan Kang Xu (3 shared papers)Rui Bi (7 shared papers)Poul Hyttel (4 shared papers)Mikkel A. Rasmussen (3 shared papers)
In The Last Decade
Shuling Zhou
50 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 94
- Cancer Research 307
- Developmental Neuroscience 37
- Oncology 233
- Molecular Biology 576
- Reproductive Medicine 41
Countries citing papers authored by Shuling Zhou
This map shows the geographic impact of Shuling Zhou'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 Shuling Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuling Zhou more than expected).
Fields of papers citing papers by Shuling Zhou
This network shows the impact of papers produced by Shuling Zhou. 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 Shuling Zhou. The network helps show where Shuling Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Shuling Zhou, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 150 | |
| 2 | 2014 | 109 | |
| 3 | 2018 | 98 | |
| 4 | 2016 | 97 | |
| 5 | 2016 | 61 | |
| 6 | 2015 | 56 | |
| 7 | 2019 | 52 | |
| 8 | 2018 | 45 | |
| 9 | 2023 | 43 | |
| 10 | 2019 | 36 | |
| 11 | 2020 | 34 | |
| 12 | 2020 | 33 | |
| 13 | 2018 | 26 | |
| 14 | 2020 | 26 | |
| 15 | 2020 | 24 | |
| 16 | 2022 | 22 | |
| 17 | 2014 | 22 | |
| 18 | 2014 | 21 | |
| 19 | 2012 | 21 | |
| 20 | 2021 | 19 |
About Shuling Zhou
Shuling Zhou is a scholar working on Oncology, Cancer Research, Pathology and Forensic Medicine, Molecular Biology and Reproductive Medicine, having authored 51 papers that have together received 1.2k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (4 papers), HER2/EGFR in Cancer Research (4 papers), Breast Lesions and Carcinomas (3 papers), Cancer Cells and Metastasis (3 papers), Insect Utilization and Effects (3 papers), Pluripotent Stem Cells Research (3 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers) and Ovarian cancer diagnosis and treatment (2 papers). The work is most often cited by research in Cancer Research (307 citations), Developmental Neuroscience (37 citations), Oncology (233 citations), Molecular Biology (576 citations) and Reproductive Medicine (41 citations). Shuling Zhou has collaborated with scholars based in China, Denmark and Hungary. Frequent co-authors include Wentao Yang, Ming Li, Anqi Li, Hong Lv, Yan Kang Xu, Rui Bi, Poul Hyttel, Anqi Li, Mikkel A. Rasmussen and Yayun Chi. Their work appears in journals such as BMC Cancer, Archives of Pathology & Laboratory Medicine, Food Chemistry, Modern Pathology and Oncotarget.
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.