Baisheng Li
Impact in
- Endocrinology top 5%
- Vibrio bacteria research studies
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
-
- SARS-CoV-2 and COVID-19 Research 20
- COVID-19 Clinical Research Studies 11
- SARS-CoV-2 detection and testing 9
- Co-authors
- Changwen Ke (15 shared papers)Bixia Ke (12 shared papers)Xingfen Yang (5 shared papers)Dongmei He (8 shared papers)Duochun Wang (9 shared papers)Biao Kan (8 shared papers)Yiquan Ke (2 shared papers)Jun Yuan (4 shared papers)
- Journals
- China CDC Weekly (7 papers)International Journal of Food Microbiology (4 papers)Virology Journal (4 papers)Journal of Medical Virology (3 papers)Clinical Infectious Diseases (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Baisheng Li
55 papers receiving 515 citations
Peers
Comparison fields: 5 of 90
- Endocrinology 143
- Molecular Medicine 46
- Infectious Diseases 147
- Modeling and Simulation 29
- Immunology 111
Countries citing papers authored by Baisheng Li
This map shows the geographic impact of Baisheng Li'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 Baisheng Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baisheng Li more than expected).
Fields of papers citing papers by Baisheng Li
This network shows the impact of papers produced by Baisheng Li. 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 Baisheng Li. The network helps show where Baisheng Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Baisheng Li, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 43 | |
| 2 | 2020 | 36 | |
| 3 | 2014 | 32 | |
| 4 | 2019 | 30 | |
| 5 | 2017 | 26 | |
| 6 | 2010 | 23 | |
| 7 | 2021 | 22 | |
| 8 | 2015 | 20 | |
| 9 | 2017 | 19 | |
| 10 | 2017 | 18 | |
| 11 | 2022 | 17 | |
| 12 | 2022 | 16 | |
| 13 | 2022 | 15 | |
| 14 | 2023 | 15 | |
| 15 | 2022 | 15 | |
| 16 | 2023 | 13 | |
| 17 | 2023 | 12 | |
| 18 | 2015 | 11 | |
| 19 | 2022 | 11 | |
| 20 | 2023 | 11 |
About Baisheng Li
Baisheng Li is a scholar working on Infectious Diseases, Molecular Biology, Endocrinology, Immunology and Food Science, having authored 59 papers that have together received 525 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (20 papers), Vibrio bacteria research studies (18 papers), Aquaculture disease management and microbiota (11 papers), COVID-19 Clinical Research Studies (11 papers), Salmonella and Campylobacter epidemiology (10 papers), SARS-CoV-2 detection and testing (9 papers), Antibiotic Resistance in Bacteria (5 papers) and Yersinia bacterium, plague, ectoparasites research (4 papers). The work is most often cited by research in Endocrinology (143 citations), Molecular Medicine (46 citations), Infectious Diseases (147 citations), Modeling and Simulation (29 citations) and Immunology (111 citations). Baisheng Li has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Changwen Ke, Bixia Ke, Xingfen Yang, Dongmei He, Duochun Wang, Biao Kan, Yiquan Ke, Jun Yuan, Lirong Zou and Kuibiao Li. Their work appears in journals such as China CDC Weekly, International Journal of Food Microbiology, Virology Journal, Journal of Medical Virology and Clinical Infectious Diseases.
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.