Shaoting Li
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Endocrinology top 2%
- Vibrio bacteria research studies
Papers in ⓘ
-
- Vibrio bacteria research studies 12
-
- Antibiotic Resistance in Bacteria 11
- Co-authors
- Xiangyu Deng (26 shared papers)David A. Mann (15 shared papers)Shaokang Zhang (6 shared papers)Patricia I. Fields (3 shared papers)Yingshu He (2 shared papers)Henk C. den Bakker (3 shared papers)Blake A. Dinsmore (2 shared papers)Charlotte Lane (2 shared papers)
- Journals
- Applied and Environmental Microbiology (8 papers)Frontiers in Microbiology (4 papers)Foodborne Pathogens and Disease (3 papers)International Journal of Food Microbiology (2 papers)Food Microbiology (2 papers)
- Partner nations
- United StatesChinaLebanon
In The Last Decade
Shaoting Li
43 papers receiving 841 citations
Peers
Comparison fields: 5 of 82
- Molecular Medicine 226
- Endocrinology 232
- Food Science 541
- Biotechnology 139
- Ecology 212
Countries citing papers authored by Shaoting Li
This map shows the geographic impact of Shaoting 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 Shaoting Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaoting Li more than expected).
Fields of papers citing papers by Shaoting Li
This network shows the impact of papers produced by Shaoting 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 Shaoting Li. The network helps show where Shaoting Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaoting 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 211 | |
| 2 | 2021 | 105 | |
| 3 | 2018 | 72 | |
| 4 | 2019 | 58 | |
| 5 | 2017 | 49 | |
| 6 | 2020 | 33 | |
| 7 | 2020 | 28 | |
| 8 | 2021 | 21 | |
| 9 | 2020 | 18 | |
| 10 | 2023 | 18 | |
| 11 | 2023 | 16 | |
| 12 | 2022 | 16 | |
| 13 | 2020 | 16 | |
| 14 | 2020 | 14 | |
| 15 | 2024 | 12 | |
| 16 | 2023 | 12 | |
| 17 | 2021 | 12 | |
| 18 | 2022 | 11 | |
| 19 | 2021 | 11 | |
| 20 | 2021 | 11 |
About Shaoting Li
Shaoting Li is a scholar working on Endocrinology, Molecular Medicine, Food Science, Biotechnology and Pollution, having authored 45 papers that have together received 855 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (22 papers), Vibrio bacteria research studies (12 papers), Antibiotic Resistance in Bacteria (11 papers), Listeria monocytogenes in Food Safety (10 papers), Bacteriophages and microbial interactions (8 papers), Genomics and Phylogenetic Studies (7 papers), Identification and Quantification in Food (6 papers) and Pharmaceutical and Antibiotic Environmental Impacts (4 papers). The work is most often cited by research in Molecular Medicine (226 citations), Endocrinology (232 citations), Food Science (541 citations), Biotechnology (139 citations) and Ecology (212 citations). Shaoting Li has collaborated with scholars based in United States, China and Lebanon. Frequent co-authors include Xiangyu Deng, David A. Mann, Shaokang Zhang, Patricia I. Fields, Yingshu He, Henk C. den Bakker, Blake A. Dinsmore, Charlotte Lane, A.C. Lauer and Jessica Chen. Their work appears in journals such as Applied and Environmental Microbiology, Frontiers in Microbiology, Foodborne Pathogens and Disease, International Journal of Food Microbiology and Food Microbiology.
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.