Yahong Liu

10.4k citations
332 papers · 7.8k indexed · 1 hit paper · h-index 43

Impact in

Papers in

Yahong Liu

322 papers receiving 7.7k citations

Hit Papers

Towards Understanding MCR-like Colistin Resistance 2018 · 346 citations
3462018202620202023100200300

Peers

Yahong Liu
Comparison fields: 5 of 178
  • Molecular Medicine 2.7k
  • Endocrinology 1.0k
  • Pollution 1.5k
  • Applied Microbiology and Biotechnology 118
  • Food Science 1.0k
Replace Manuel Simões with:
Manuel Simões Portugal
Asad U. Khan India
Zixin Deng China
Ian Chopra United Kingdom
Ping Shen China
Qingping Wu China
Peter J. Vikesland United States
Kok‐Gan Chan Malaysia
Paolo Visca Italy
Eric D. Brown Canada
Yahong Liu relative to Manuel Simões Portugal Manuel Simões's profile →
Citations per field
00.5×3.5×
Manuel Simões · 1×
Citations per year

Countries citing papers authored by Yahong Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yahong Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

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19 2019207
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Detection of Plasmid-Mediated Quinolone Resistance in Clinical Isolates of Escherichia coli from Pet Animals
20102

About Yahong Liu

Yahong Liu is a scholar working on Molecular Medicine, Endocrinology, Pollution, Pharmacology and Electronic, Optical and Magnetic Materials, having authored 332 papers that have together received 7.8k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (97 papers), Metamaterials and Metasurfaces Applications (50 papers), Pharmaceutical and Antibiotic Environmental Impacts (49 papers), Antibiotics Pharmacokinetics and Efficacy (45 papers), Advanced Antenna and Metasurface Technologies (39 papers), Antenna Design and Analysis (33 papers), Salmonella and Campylobacter epidemiology (26 papers) and Bacteriophages and microbial interactions (19 papers). The work is most often cited by research in Molecular Medicine (2.7k citations), Endocrinology (1.0k citations), Pollution (1.5k citations), Applied Microbiology and Biotechnology (118 citations) and Food Science (1.0k citations). Yahong Liu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jian Sun, Xiao‐Ping Liao, Xiaopeng Zhao, Zhenling Zeng, Youjun Feng, Liang‐Xing Fang, Huimin Zhang, Kun Song, Limin He and Yijuan Su. Their work appears in journals such as Frontiers in Microbiology, Antimicrobial Agents and Chemotherapy, The Science of The Total Environment, Journal of Antimicrobial Chemotherapy and Veterinary 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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