Shaoting Li

49 papers receiving 1.1k citations

Shaoting Li's Hit Papers

SeqSero2: Rapid and Improved Salmonella Serotype Determination Using Whole-Genome Sequencing Data 2019 · 271 citations
2710+2+4Years since publication50100150200250

Peers

Shaoting Li
Comparison fields: 5 of 79
  • Food Science 649
  • Molecular Medicine 153
  • Biotechnology 83
  • Applied Microbiology and Biotechnology 19
  • Endocrinology 33
Replace Erika M. du Plessis with:
Erika M. du Plessis South Africa
Carlo Spanu Italy
Anna Zadernowska Poland
Sigrid Van Boxstael Belgium
Adrián Álvarez-Molina Spain
Roberta Comunian Italy
Antonio Paba Italy
Edda Bartelt Germany
Carole Feurer France
Antonio Sánchez Valenzuela Spain
Shaoting Li relative to Erika M. du Plessis South Africa Erika M. du Plessis's profile →
Citations per field
00.5×2×3×4×4.9×
Erika M. du Plessis · 1×
Citations per year

Countries citing papers authored by Shaoting Li

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Shaoting Li Line = papers co-authored together Shaoting Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1
SeqSero2: Rapid and Improved Salmonella Serotype Determination Using Whole-Genome Sequencing Data
Hit paper breakdown →
2019271
2 2021129
3 201885
4 201967
5 201751
6 202045
7 202034
8 202424
9 202123
10 202022
11 202022
12 202321
13 202020
14 202320
15 202219
16 202317
17 202016
18 202116
19 202416
20 202115

About Shaoting Li

Shaoting Li is a scholar working on Food Science, Molecular Medicine, Biotechnology, Pollution and Genetics, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (24 papers), Antibiotic Resistance in Bacteria (10 papers), Listeria monocytogenes in Food Safety (6 papers), Bacterial Genetics and Biotechnology (5 papers), Agriculture Sustainability and Environmental Impact (3 papers), Pharmaceutical and Antibiotic Environmental Impacts (3 papers), Nutrition, Health and Food Behavior (2 papers) and Food Security and Health in Diverse Populations (2 papers). The work is most often cited by research in Food Science (649 citations), Molecular Medicine (153 citations), Biotechnology (83 citations), Applied Microbiology and Biotechnology (19 citations) and Endocrinology (33 citations). Shaoting Li has collaborated with scholars based in United States, China and Lebanon. Frequent co-authors include Xiangyu Deng, Shaokang Zhang, Patricia I. Fields, Yingshu He, Charlotte Lane, Jessica C. Chen, Blake A. Dinsmore, Issmat I. Kassem, Ji‐Yeon Hyeon and Xuan 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.

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