Shaoting Li

1.4k citations
50 papers · 941 · h-index 15

Impact in

Papers in

    • Salmonella and Campylobacter epidemiology 23
    • Identification and Quantification in Food 8
    • Genomics and Phylogenetic Studies 7

Shaoting Li

44 papers receiving 932 citations

Peers

Shaoting Li
Comparison fields: 5 of 82
  • Molecular Medicine 222
  • Endocrinology 227
  • Food Science 582
  • Biotechnology 145
  • Ecology 204
Replace Shabarinath Srikumar with:
Shabarinath Srikumar Ireland
Kristoffer Kiil Denmark
Ana Herrero-Fresno Denmark
Dayna M. Harhay United States
Hassan Hartman United Kingdom
Bhavjinder K. Dhillon Canada
Bok-Kwon Lee South Korea
Meili Xi China
Ravindranath Shashidhar India
Tze Young Thung Malaysia
Shaoting Li relative to Shabarinath Srikumar Ireland Shabarinath Srikumar's profile →
Citations per field
00.5×1.5×1.8×
Shabarinath Srikumar · 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 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019232
2 2021114
3 201876
4 201961
5 201749
6 202036
7 202031
8 202121
9 202021
10 202318
11 202218
12 202318
13 202017
14 202416
15 202015
16 202314
17 202114
18 202413
19 202212
20 202111

About Shaoting Li

Shaoting Li is a scholar working on Food Science, Molecular Biology, Endocrinology, Ecology and Molecular Medicine, having authored 50 papers that have together received 941 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (23 papers), Vibrio bacteria research studies (13 papers), Antibiotic Resistance in Bacteria (10 papers), Listeria monocytogenes in Food Safety (10 papers), Identification and Quantification in Food (8 papers), Bacteriophages and microbial interactions (8 papers), Genomics and Phylogenetic Studies (7 papers) and Pharmaceutical and Antibiotic Environmental Impacts (4 papers). The work is most often cited by research in Molecular Medicine (222 citations), Endocrinology (227 citations), Food Science (582 citations), Biotechnology (145 citations) and Ecology (204 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, Charlotte Lane, Jessica Chen, A.C. Lauer, Blake A. Dinsmore and Issmat I. Kassem. 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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