Yan Si
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Thyroid Cancer Diagnosis and Treatment
Papers in
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- Thyroid Cancer Diagnosis and Treatment 9
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- Radiation Dose and Imaging 3
- Radiomics and Machine Learning in Medical Imaging 2
- Co-authors
- Meiping Shen (14 shared papers)Xiao‐Quan Xu (10 shared papers)Yan Zhou (9 shared papers)Guo-Yi Su (9 shared papers)Xi Zhuang (4 shared papers)Hao Zhang (4 shared papers)Bo Yu (1 shared paper)Fei‐Yun Wu (3 shared papers)
- Journals
- Cell Death and Disease (2 papers)European Radiology (2 papers)Applied Microbiology and Biotechnology (1 paper)Cancer Cell International (1 paper)Cancer Imaging (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Yan Si
24 papers receiving 478 citations
Peers
Comparison fields: 5 of 43
- Cancer Research 148
- Endocrinology, Diabetes and Metabolism 102
- Molecular Biology 197
- Radiology, Nuclear Medicine and Imaging 53
- Pulmonary and Respiratory Medicine 49
Countries citing papers authored by Yan Si
This map shows the geographic impact of Yan Si'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 Yan Si with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Si more than expected).
Fields of papers citing papers by Yan Si
This network shows the impact of papers produced by Yan Si. 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 Yan Si. The network helps show where Yan Si may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Si, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 90 | |
| 2 | 2021 | 84 | |
| 3 | 2020 | 65 | |
| 4 | 2019 | 65 | |
| 5 | 2019 | 30 | |
| 6 | 2021 | 23 | |
| 7 | 2022 | 18 | |
| 8 | 2017 | 14 | |
| 9 | 2023 | 13 | |
| 10 | 2020 | 13 | |
| 11 | 2021 | 12 | |
| 12 | 2019 | 12 | |
| 13 | 2022 | 9 | |
| 14 | 2021 | 8 | |
| 15 | 2021 | 7 | |
| 16 | 2024 | 5 | |
| 17 | 2023 | 5 | |
| 18 | 2021 | 4 | |
| 19 | Central pontine myelinolysis after liver transplantation:5 cases report | 2009 | 1 |
| 20 | 2024 | 1 |
About Yan Si
Yan Si is a scholar working on Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 27 papers that have together received 483 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (9 papers), Advanced X-ray and CT Imaging (5 papers), Radiation Dose and Imaging (3 papers), RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Cancer-related gene regulation (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Cancer Research (148 citations), Endocrinology, Diabetes and Metabolism (102 citations), Molecular Biology (197 citations), Radiology, Nuclear Medicine and Imaging (53 citations) and Pulmonary and Respiratory Medicine (49 citations). Yan Si has collaborated with scholars based in China and United States. Frequent co-authors include Meiping Shen, Xiao‐Quan Xu, Yan Zhou, Guo-Yi Su, Xi Zhuang, Hao Zhang, Bo Yu, Fei‐Yun Wu, Yang Zhou and Zhijun Min. Their work appears in journals such as Cell Death and Disease, European Radiology, Applied Microbiology and Biotechnology, Cancer Cell International and Cancer Imaging.
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.