Sufei Wang
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- Neurology top 10%
- Long-Term Effects of COVID-19
Papers in
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- Extracellular vesicles in disease 9
- Circular RNAs in diseases 3
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- COVID-19 Clinical Research Studies 7
- Co-authors
- Yang Jin (28 shared papers)Juanjuan Xu (21 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)Xueyun Tan (12 shared papers)
In The Last Decade
Sufei Wang
46 papers receiving 1.1k citations
Sufei Wang's Hit Papers
Peers
Comparison fields: 5 of 114
- Infectious Diseases 243
- Neurology 145
- Cancer Research 125
- Biological Psychiatry 16
- Endocrinology, Diabetes and Metabolism 82
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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Fasting blood glucose at admission is an independent predictor for 28-day mortality in patients with COVID-19 without previous diagnosis of diabetes: a multi-centre retrospective study Hit paper breakdown → | 2020 | 224 |
| 2 | Intratumoural microbiota: a new frontier in cancer development and therapy Hit paper breakdown → | 2024 | 145 |
| 3 | 2021 | 94 | |
| 4 | 2020 | 55 | |
| 5 | 2022 | 50 | |
| 6 | 2022 | 44 | |
| 7 | 2021 | 41 | |
| 8 | 2019 | 37 | |
| 9 | 2021 | 37 | |
| 10 | 2020 | 36 | |
| 11 | 2021 | 32 | |
| 12 | 2021 | 31 | |
| 13 | 2019 | 27 | |
| 14 | The role of adrenergic receptors in lung cancer. | 2018 | 27 |
| 15 | 2021 | 25 | |
| 16 | 2020 | 21 | |
| 17 | 2022 | 19 | |
| 18 | 2021 | 17 | |
| 19 | 2022 | 17 | |
| 20 | 2022 | 15 |
About Sufei Wang
Sufei Wang is a scholar working on Molecular Biology, Infectious Diseases, Neurology, Pulmonary and Respiratory Medicine and Immunology, having authored 49 papers that have together received 1.2k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (9 papers), COVID-19 Clinical Research Studies (7 papers), Long-Term Effects of COVID-19 (6 papers), Advanced Combustion Engine Technologies (4 papers), MicroRNA in disease regulation (4 papers), Circular RNAs in diseases (3 papers), Lung Cancer Treatments and Mutations (3 papers) and Cervical Cancer and HPV Research (2 papers). The work is most often cited by research in Infectious Diseases (243 citations), Neurology (145 citations), Cancer Research (125 citations), Biological Psychiatry (16 citations) and Endocrinology, Diabetes and Metabolism (82 citations). Sufei Wang has collaborated with scholars based in China and Taiwan. Frequent co-authors include Yang Jin, Juanjuan Xu, Yanling Ma, Siwei Song, Feng Wu, Pei Ma, Zhengrong Yin, Xueyun Tan, Limin Duan and Mei Zhou. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, EBioMedicine, Cell Death and Disease, Signal Transduction and Targeted Therapy and Drug Delivery.
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.