Simin Chen
Impact in
- Nephrology top 10%
- Gout, Hyperuricemia, Uric Acid
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
-
- Adversarial Robustness in Machine Learning 5
- Domain Adaptation and Few-Shot Learning 3
- Co-authors
- Hong‐Xi Xu (1 shared paper)Yu Xu (1 shared paper)Weimin Deng (1 shared paper)Zhenqiu Chen (1 shared paper)Qiushi Wei (1 shared paper)Wei Yang (2 shared papers)Cong Liu (3 shared papers)Xiaoma Li (2 shared papers)
- Journals
- Atmosphere (2 papers)Cancer Prevention Research (2 papers)Molecular Immunology (2 papers)Frontiers in Pharmacology (2 papers)Acta Pharmaceutica Sinica B (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Simin Chen
54 papers receiving 567 citations
Peers
Comparison fields: 5 of 122
- Nephrology 68
- Hepatology 57
- Health Informatics 9
- Radiology, Nuclear Medicine and Imaging 71
- Cancer Research 46
Countries citing papers authored by Simin Chen
This map shows the geographic impact of Simin Chen'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 Simin Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simin Chen more than expected).
Fields of papers citing papers by Simin Chen
This network shows the impact of papers produced by Simin Chen. 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 Simin Chen. The network helps show where Simin Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Simin Chen, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 68 | |
| 2 | 2020 | 55 | |
| 3 | 2015 | 34 | |
| 4 | 2023 | 26 | |
| 5 | 2023 | 25 | |
| 6 | 2020 | 24 | |
| 7 | The non-Geldanamycin Hsp90 inhibitors enhanced the antifungal activity of fluconazole. | 2015 | 24 |
| 8 | 2022 | 22 | |
| 9 | 2023 | 20 | |
| 10 | 2022 | 20 | |
| 11 | 2022 | 19 | |
| 12 | 2021 | 18 | |
| 13 | 2013 | 16 | |
| 14 | 2023 | 15 | |
| 15 | 2022 | 14 | |
| 16 | 2022 | 14 | |
| 17 | 2022 | 13 | |
| 18 | 2020 | 13 | |
| 19 | 2020 | 12 | |
| 20 | 2023 | 11 |
About Simin Chen
Simin Chen is a scholar working on Molecular Biology, Artificial Intelligence, Electrical and Electronic Engineering, Pulmonary and Respiratory Medicine and Surgery, having authored 65 papers that have together received 588 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (5 papers), Advanced Neural Network Applications (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Nutrition and Health in Aging (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Urban Green Space and Health (2 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Nephrology (68 citations), Hepatology (57 citations), Health Informatics (9 citations), Radiology, Nuclear Medicine and Imaging (71 citations) and Cancer Research (46 citations). Simin Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hong‐Xi Xu, Yu Xu, Weimin Deng, Zhenqiu Chen, Qiushi Wei, Wei Yang, Cong Liu, Xiaoma Li, Xinyi Li and Sidong Xie. Their work appears in journals such as Atmosphere, Cancer Prevention Research, Molecular Immunology, Frontiers in Pharmacology and Acta Pharmaceutica Sinica B.
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.