Sicong Jiang
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
-
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Advanced biosensing and bioanalysis techniques 7
- Circular RNAs in diseases 2
- Co-authors
- Shu Yuan (9 shared papers)Zilin Li (2 shared papers)Yu‐Fan Fu (6 shared papers)Zi-Lin Li (5 shared papers)Jing Hu (1 shared paper)Zhongwei Zhang (1 shared paper)Hong Cheng (1 shared paper)Jinchun Tu (1 shared paper)
- Journals
- Alexandria Engineering Journal (4 papers)Frontiers in Immunology (2 papers)Autophagy (1 paper)Frontiers in Aging Neuroscience (1 paper)Biomedical Materials (1 paper)
- Partner nations
- ChinaSwitzerlandUnited States
In The Last Decade
Sicong Jiang
28 papers receiving 273 citations
Peers
Comparison fields: 5 of 93
- Modeling and Simulation 24
- Infectious Diseases 50
- Neurology 23
- Immunology 30
- Pulmonary and Respiratory Medicine 45
Countries citing papers authored by Sicong Jiang
This map shows the geographic impact of Sicong Jiang'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 Sicong Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sicong Jiang more than expected).
Fields of papers citing papers by Sicong Jiang
This network shows the impact of papers produced by Sicong Jiang. 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 Sicong Jiang. The network helps show where Sicong Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Sicong Jiang, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 45 | |
| 2 | 2020 | 42 | |
| 3 | 2016 | 36 | |
| 4 | 2023 | 30 | |
| 5 | 2016 | 16 | |
| 6 | 2021 | 15 | |
| 7 | 2021 | 13 | |
| 8 | 2021 | 10 | |
| 9 | 2020 | 7 | |
| 10 | 2020 | 6 | |
| 11 | 2023 | 6 | |
| 12 | 2018 | 6 | |
| 13 | High expression of ZBED1 affects proliferation and apoptosis in gastric cancer. | 2018 | 6 |
| 14 | 2019 | 5 | |
| 15 | 2019 | 4 | |
| 16 | 2023 | 4 | |
| 17 | 2024 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2024 | 4 |
About Sicong Jiang
Sicong Jiang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Infectious Diseases, Surgery and Electrical and Electronic Engineering, having authored 31 papers that have together received 281 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (7 papers), Electrochemical sensors and biosensors (3 papers), Gas Sensing Nanomaterials and Sensors (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Galectins and Cancer Biology (2 papers), Circular RNAs in diseases (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Biosensors and Analytical Detection (2 papers). The work is most often cited by research in Modeling and Simulation (24 citations), Infectious Diseases (50 citations), Neurology (23 citations), Immunology (30 citations) and Pulmonary and Respiratory Medicine (45 citations). Sicong Jiang has collaborated with scholars based in China, Switzerland and United States. Frequent co-authors include Shu Yuan, Zilin Li, Yu‐Fan Fu, Zi-Lin Li, Jing Hu, Zhongwei Zhang, Hong Cheng, Jinchun Tu, Hao Hu and Kun Yi. Their work appears in journals such as Alexandria Engineering Journal, Frontiers in Immunology, Autophagy, Frontiers in Aging Neuroscience and Biomedical Materials.
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.