Li Shi
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 16
- SARS-CoV-2 and COVID-19 Research 3
- Neurology 12
- Long-Term Effects of COVID-19 11
- Co-authors
- Yadong Wang (18 shared papers)Haiyan Yang (18 shared papers)Guangcai Duan (9 shared papers)Ying Wang (6 shared papers)Jie Xu (9 shared papers)Xuan Liang (6 shared papers)Peihua Zhang (4 shared papers)Ying Wang (3 shared papers)
In The Last Decade
Li Shi
36 papers receiving 486 citations
Peers
Comparison fields: 5 of 71
- Infectious Diseases 177
- Neurology 108
- Cancer Research 64
- Obstetrics and Gynecology 30
- Internal Medicine 9
Countries citing papers authored by Li Shi
This map shows the geographic impact of Li Shi'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 Li Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Shi more than expected).
Fields of papers citing papers by Li Shi
This network shows the impact of papers produced by Li Shi. 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 Li Shi. The network helps show where Li Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Li Shi, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 60 | |
| 2 | 2020 | 54 | |
| 3 | 2021 | 34 | |
| 4 | 2016 | 30 | |
| 5 | 2021 | 26 | |
| 6 | 2019 | 21 | |
| 7 | 2020 | 20 | |
| 8 | 2012 | 19 | |
| 9 | 2020 | 19 | |
| 10 | 2020 | 19 | |
| 11 | 2013 | 18 | |
| 12 | 2019 | 16 | |
| 13 | Long term prognosis of ductal carcinoma in situ with microinvasion: a retrospective cohort study. | 2018 | 16 |
| 14 | 2020 | 15 | |
| 15 | 2020 | 12 | |
| 16 | 2020 | 10 | |
| 17 | 2020 | 10 | |
| 18 | 2020 | 9 | |
| 19 | 2019 | 9 | |
| 20 | 2024 | 8 |
About Li Shi
Li Shi is a scholar working on Infectious Diseases, Neurology, Obstetrics and Gynecology, Cancer Research and Internal Medicine, having authored 38 papers that have together received 494 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (16 papers), Long-Term Effects of COVID-19 (11 papers), Cancer-related molecular mechanisms research (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Circular RNAs in diseases (3 papers), Venous Thromboembolism Diagnosis and Management (3 papers), RNA modifications and cancer (3 papers) and COVID-19 and healthcare impacts (3 papers). The work is most often cited by research in Infectious Diseases (177 citations), Neurology (108 citations), Cancer Research (64 citations), Obstetrics and Gynecology (30 citations) and Internal Medicine (9 citations). Li Shi has collaborated with scholars based in China, Sweden and Hong Kong. Frequent co-authors include Yadong Wang, Haiyan Yang, Guangcai Duan, Ying Wang, Jie Xu, Xuan Liang, Peihua Zhang, Ying Wang, Hongjie Hou and Chuang Han. Their work appears in journals such as Journal of Infection, International Journal of Medical Sciences, Environmental and Molecular Mutagenesis, Intensive Care Medicine and Journal of Oncology.
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.