Li Yi

2.7k citations
93 papers · 1.8k · h-index 25

Impact in

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

Papers in

Li Yi

88 papers receiving 1.8k citations

Peers

Li Yi
Comparison fields: 5 of 101
  • Endocrinology 418
  • Microbiology 267
  • Molecular Medicine 167
  • Periodontics 128
  • Public Health, Environmental and Occupational Health 522
Replace Sanjeev Narayanan with:
Sanjeev Narayanan United States
Palmy Jesudhasan United States
Rosana B. R. Ferreira Brazil
Morten Kjos Norway
Kangmin Duan Canada
Reiko Kariyama Japan
Márcia Giambiagi-deMarval Brazil
Vincenzo Savini Italy
José Ramos-Vivas Spain
Tomoko Hanawa Japan
Li Yi relative to Sanjeev Narayanan United States Sanjeev Narayanan's profile →
Citations per field
00.5×2.7×
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 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013133
2 2019133
3 2018114
4 2020100
5 202262
6 201258
7 201856
8 202251
9 201250
10 201349
11 202149
12 201845
13 202441
14 201441
15 201940
16 201138
17 201535
18 201734
19 201932
20 201431

About Li Yi

Li Yi is a scholar working on Public Health, Environmental and Occupational Health, Endocrinology, Molecular Biology, Infectious Diseases and Microbiology, having authored 93 papers that have together received 1.8k indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (45 papers), Antimicrobial Resistance in Staphylococcus (23 papers), Bacterial biofilms and quorum sensing (18 papers), Infections and bacterial resistance (15 papers), Neonatal and Maternal Infections (13 papers), Microbial infections and disease research (10 papers), Antibiotic Resistance in Bacteria (9 papers) and Vibrio bacteria research studies (6 papers). The work is most often cited by research in Endocrinology (418 citations), Microbiology (267 citations), Molecular Medicine (167 citations), Periodontics (128 citations) and Public Health, Environmental and Occupational Health (522 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, Karin Sauer, Nicole Frankenberg‐Dinkel and Yuxin Wang. Their work appears in journals such as Applied Microbiology and Biotechnology, Veterinary Microbiology, Animals, BMC Microbiology and International Journal of Environmental Research and Public Health.

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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