Li Yi

2.6k citations
91 papers · 1.7k · h-index 25

Impact in

    • Infections and bacterial resistance
    • Vibrio bacteria research studies
    • Microbial infections and disease research

Papers in

Li Yi

85 papers receiving 1.7k citations

Peers

Li Yi
Comparison fields: 5 of 106
  • Endocrinology 420
  • Microbiology 260
  • Molecular Medicine 157
  • Periodontics 125
  • Public Health, Environmental and Occupational Health 507
Replace Sanjeev Narayanan with:
Sanjeev Narayanan United States
Josephine R. Chandler United States
Palmy Jesudhasan United States
Rosana B. R. Ferreira Brazil
Morten Kjos Norway
Kangmin Duan Canada
Matthias Willmann Germany
Márcia Giambiagi-deMarval Brazil
José Ramos-Vivas Spain
Damien Balestrino France
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Citations per field
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Sanjeev Narayanan · 1×
Citations per year

Countries citing papers authored by Li Yi

Since Specialization
Citations

This map shows the geographic impact of Li Yi'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 Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Yi more than expected).

Fields of papers citing papers by Li Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li Yi. 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 Yi. The network helps show where Li Yi may publish in the future.

Co-authors

The 25 scholars most cited alongside Li Yi, 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 Li Yi Line = papers co-authored together Li Yi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013120
2 2019120
3 2018111
4 202091
5 201255
6 202254
7 201853
8 201249
9 201348
10 202146
11 201845
12 202245
13 201441
14 202437
15 201936
16 201136
17 201733
18 201532
19 201931
20 202030

About Li Yi

Li Yi is a scholar working on Public Health, Environmental and Occupational Health, Endocrinology, Infectious Diseases, Molecular Biology and Microbiology, having authored 91 papers that have together received 1.7k indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (46 papers), Antimicrobial Resistance in Staphylococcus (26 papers), Bacterial biofilms and quorum sensing (19 papers), Infections and bacterial resistance (17 papers), Neonatal and Maternal Infections (15 papers), Microbial infections and disease research (10 papers), Antibiotic Resistance in Bacteria (10 papers) and Vibrio bacteria research studies (6 papers). The work is most often cited by research in Endocrinology (420 citations), Microbiology (260 citations), Molecular Medicine (157 citations), Periodontics (125 citations) and Public Health, Environmental and Occupational Health (507 citations). Li Yi has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Yang Wang, Daniel Grenier, Baobao Liu, Hongjie Fan, Qingying Fan, Chengping Lu, Xiao Dong, Yuxin Wang, Nicole Frankenberg‐Dinkel and Karin Sauer. Their work appears in journals such as Applied Microbiology and Biotechnology, Veterinary Microbiology, Microbiological Research, Journal of Applied Microbiology and Animals.

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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