Beibei Liang

56 papers receiving 1.8k citations

Beibei Liang's Hit Papers

Colistin resistance of Acinetobacter baumannii: clinical reports, mechanisms and antimicrobial strategies 2012 · 460 citations
4600+4+9Years since publication100200300400

Peers

Beibei Liang
Comparison fields: 5 of 114
  • Molecular Medicine 756
  • Endocrinology 340
  • Applied Microbiology and Biotechnology 76
  • Pollution 173
  • Microbiology 81
Replace Nobuhisa Masuda with:
Nobuhisa Masuda Japan
Mei‐Ling Han Australia
Denice C. Bay Canada
Charles R. Dean United States
Fang Bai China
Lawrence Mulcahy United States
Bart A. Eijkelkamp Australia
E. Evdokimova Canada
Hiroko Ishida Japan
Roger Léger United States
Beibei Liang relative to Nobuhisa Masuda Japan Nobuhisa Masuda's profile →
Citations per field
00.5×6.3×
Nobuhisa Masuda · 1×
Citations per year

Countries citing papers authored by Beibei Liang

Since Specialization
Citations

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

Fields of papers citing papers by Beibei Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Colistin resistance of Acinetobacter baumannii: clinical reports, mechanisms and antimicrobial strategies
Hit paper breakdown →
2012460
2 2016293
3 201869
4 201959
5 200958
6 201355
7 201755
8 201548
9 201747
10 201838
11 201635
12 201434
13 202033
14 201433
15 201531
16 201527
17 201626
18 202226
19 201924
20 201621

About Beibei Liang

Beibei Liang is a scholar working on Molecular Medicine, Molecular Biology, Endocrinology, Food Science and Infectious Diseases, having authored 57 papers that have together received 1.8k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (14 papers), Salmonella and Campylobacter epidemiology (9 papers), Escherichia coli research studies (6 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers), Viral gastroenteritis research and epidemiology (5 papers), Molecular Sensors and Ion Detection (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Vibrio bacteria research studies (3 papers). The work is most often cited by research in Molecular Medicine (756 citations), Endocrinology (340 citations), Applied Microbiology and Biotechnology (76 citations), Pollution (173 citations) and Microbiology (81 citations). Beibei Liang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yun Cai, Nan Bai, Dafei Chai, Hongbin Song, Shaofu Qiu, Ligui Wang, Hao Li, Xinying Du, Jie Li and Xuelin Liu. Their work appears in journals such as Frontiers in Microbiology, PLoS ONE, Analytical Methods, Cell Death and Disease and Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy.

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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