Sufei Wang
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- Neurology top 10%
- Long-Term Effects of COVID-19
Papers in
-
- Extracellular vesicles in disease 9
- Circular RNAs in diseases 3
-
- COVID-19 Clinical Research Studies 11
- Co-authors
- Yang Jin (28 shared papers)Juanjuan Xu (20 shared papers)Yanling Ma (9 shared papers)Siwei Song (10 shared papers)Feng Wu (8 shared papers)Pei Ma (7 shared papers)Zhengrong Yin (10 shared papers)Limin Duan (7 shared papers)
- Journals
- SAE technical papers on CD-ROM/SAE technical paper series (2 papers)EBioMedicine (2 papers)Cell Death and Disease (2 papers)Clinical Infectious Diseases (1 paper)Scientific Reports (1 paper)
- Partner nations
- China
In The Last Decade
Sufei Wang
46 papers receiving 1.1k citations
Sufei Wang's Hit Papers
Peers
Comparison fields: 5 of 117
- Infectious Diseases 332
- Neurology 176
- Cancer Research 145
- Critical Care and Intensive Care Medicine 45
- Biological Psychiatry 19
Countries citing papers authored by Sufei Wang
This map shows the geographic impact of Sufei Wang'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 Sufei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sufei Wang more than expected).
Fields of papers citing papers by Sufei Wang
This network shows the impact of papers produced by Sufei Wang. 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 Sufei Wang. The network helps show where Sufei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Sufei Wang, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 223 | |
| 2 | Intratumoural microbiota: a new frontier in cancer development and therapy Hit paper breakdown → | 2024 | 127 |
| 3 | 2021 | 85 | |
| 4 | 2020 | 54 | |
| 5 | 2022 | 45 | |
| 6 | 2022 | 41 | |
| 7 | 2021 | 41 | |
| 8 | 2021 | 37 | |
| 9 | 2019 | 36 | |
| 10 | 2020 | 34 | |
| 11 | 2021 | 31 | |
| 12 | 2021 | 31 | |
| 13 | 2019 | 26 | |
| 14 | The role of adrenergic receptors in lung cancer. | 2018 | 26 |
| 15 | 2021 | 24 | |
| 16 | 2020 | 21 | |
| 17 | 2022 | 18 | |
| 18 | 2022 | 17 | |
| 19 | 2021 | 17 | |
| 20 | 2021 | 14 |
About Sufei Wang
Sufei Wang is a scholar working on Molecular Biology, Infectious Diseases, Neurology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (11 papers), Extracellular vesicles in disease (9 papers), Long-Term Effects of COVID-19 (8 papers), MicroRNA in disease regulation (4 papers), Advanced Combustion Engine Technologies (4 papers), Lung Cancer Treatments and Mutations (4 papers), Circular RNAs in diseases (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Infectious Diseases (332 citations), Neurology (176 citations), Cancer Research (145 citations), Critical Care and Intensive Care Medicine (45 citations) and Biological Psychiatry (19 citations). Sufei Wang has collaborated with scholars based in China. Frequent co-authors include Yang Jin, Juanjuan Xu, Yanling Ma, Siwei Song, Feng Wu, Pei Ma, Zhengrong Yin, Limin Duan, Xueyun Tan and Mengfei Guo. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, EBioMedicine, Cell Death and Disease, Clinical Infectious Diseases and Scientific Reports.
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.