Guolin Ye
Impact in
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- Breast Cancer Treatment Studies
- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
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- HER2/EGFR in Cancer Research
Papers in
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- Breast Cancer Treatment Studies 9
- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 3
- Cancer Genomics and Diagnostics 3
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- Extracellular vesicles in disease 3
- Co-authors
- Ruilin Pan (4 shared papers)Kunwei Shen (2 shared papers)Xiaosong Chen (2 shared papers)Dan Zhou (4 shared papers)Weige Tan (1 shared paper)Peixian Chen (7 shared papers)Yingsong Wu (4 shared papers)Zhiwei Guo (4 shared papers)
In The Last Decade
Guolin Ye
21 papers receiving 292 citations
Peers
Comparison fields: 5 of 54
- Cancer Research 153
- Oncology 114
- Molecular Biology 141
- Radiology, Nuclear Medicine and Imaging 35
- Immunology and Allergy 7
Countries citing papers authored by Guolin Ye
This map shows the geographic impact of Guolin Ye'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 Guolin Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guolin Ye more than expected).
Fields of papers citing papers by Guolin Ye
This network shows the impact of papers produced by Guolin Ye. 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 Guolin Ye. The network helps show where Guolin Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Guolin Ye, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 44 | |
| 2 | 2013 | 34 | |
| 3 | 2019 | 31 | |
| 4 | 2022 | 26 | |
| 5 | 2020 | 26 | |
| 6 | 2022 | 26 | |
| 7 | 2021 | 23 | |
| 8 | 2021 | 14 | |
| 9 | 2018 | 11 | |
| 10 | 2023 | 10 | |
| 11 | 2021 | 9 | |
| 12 | 2021 | 9 | |
| 13 | 2022 | 7 | |
| 14 | 2021 | 5 | |
| 15 | 2025 | 5 | |
| 16 | 2021 | 4 | |
| 17 | 2023 | 3 | |
| 18 | Inhibitory effects of pigment epithelium-derived factor on epithelial-mesenchymal transition, migration and invasion of breast cancer. | 2017 | 3 |
| 19 | 2018 | 3 | |
| 20 | 2024 | 2 |
About Guolin Ye
Guolin Ye is a scholar working on Cancer Research, Molecular Biology, Oncology, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 21 papers that have together received 296 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (9 papers), MicroRNA in disease regulation (5 papers), HER2/EGFR in Cancer Research (4 papers), Breast Lesions and Carcinomas (4 papers), Cancer Treatment and Pharmacology (3 papers), Cancer-related molecular mechanisms research (3 papers), Cancer Genomics and Diagnostics (3 papers) and Extracellular vesicles in disease (3 papers). The work is most often cited by research in Cancer Research (153 citations), Oncology (114 citations), Molecular Biology (141 citations), Radiology, Nuclear Medicine and Imaging (35 citations) and Immunology and Allergy (7 citations). Guolin Ye has collaborated with scholars based in China, India and Macao. Frequent co-authors include Ruilin Pan, Kunwei Shen, Xiaosong Chen, Dan Zhou, Weige Tan, Peixian Chen, Yingsong Wu, Zhiwei Guo, Yali Cao and Bo‐Wei Han. Their work appears in journals such as Cell Death Discovery, Scientific Reports, British Journal of Cancer, Japanese Journal of Clinical Oncology and The Breast.
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.