Shipei Wang
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 10%
- Long-Term Effects of COVID-19
Papers in
-
- COVID-19 Clinical Research Studies 8
-
- Long-Term Effects of COVID-19 4
- Co-authors
- Liang Guo (13 shared papers)Zeming Liu (12 shared papers)Danyang Chen (9 shared papers)Wen Zeng (11 shared papers)Sichao Chen (10 shared papers)Yihui Huang (9 shared papers)Wei Zhou (4 shared papers)Lin Zhou (2 shared papers)
- Journals
- Frontiers in Medicine (3 papers)Journal of Visual Communication and Image Representation (2 papers)Travel Medicine and Infectious Disease (1 paper)International Journal of Medical Sciences (1 paper)Medicine (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Shipei Wang
21 papers receiving 359 citations
Peers
Comparison fields: 5 of 91
- Infectious Diseases 222
- Neurology 112
- Dermatology 25
- Critical Care and Intensive Care Medicine 13
- Applied Microbiology and Biotechnology 5
Countries citing papers authored by Shipei Wang
This map shows the geographic impact of Shipei 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 Shipei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shipei Wang more than expected).
Fields of papers citing papers by Shipei Wang
This network shows the impact of papers produced by Shipei 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 Shipei Wang. The network helps show where Shipei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shipei 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 165 | |
| 2 | 2020 | 28 | |
| 3 | 2020 | 27 | |
| 4 | 2020 | 23 | |
| 5 | 2021 | 19 | |
| 6 | 2020 | 18 | |
| 7 | 2021 | 15 | |
| 8 | 2019 | 13 | |
| 9 | 2020 | 12 | |
| 10 | 2017 | 10 | |
| 11 | 2021 | 7 | |
| 12 | 2017 | 6 | |
| 13 | 2021 | 5 | |
| 14 | 2019 | 3 | |
| 15 | 2023 | 3 | |
| 16 | 2020 | 3 | |
| 17 | 2025 | 2 | |
| 18 | 2020 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2025 | 1 |
About Shipei Wang
Shipei Wang is a scholar working on Infectious Diseases, Neurology, Genetics, Molecular Biology and Dermatology, having authored 21 papers that have together received 365 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (8 papers), Long-Term Effects of COVID-19 (4 papers), BRCA gene mutations in cancer (3 papers), Advanced Image Processing Techniques (2 papers), Male Breast Health Studies (2 papers), COVID-19 and healthcare impacts (2 papers), Perfectionism, Procrastination, Anxiety Studies (1 paper) and Dermatologic Treatments and Research (1 paper). The work is most often cited by research in Infectious Diseases (222 citations), Neurology (112 citations), Dermatology (25 citations), Critical Care and Intensive Care Medicine (13 citations) and Applied Microbiology and Biotechnology (5 citations). Shipei Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Liang Guo, Zeming Liu, Danyang Chen, Wen Zeng, Sichao Chen, Yihui Huang, Wei Zhou, Lin Zhou, Haibo Xu and Mengqi Tu. Their work appears in journals such as Frontiers in Medicine, Journal of Visual Communication and Image Representation, Travel Medicine and Infectious Disease, International Journal of Medical Sciences and Medicine.
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.