Beibei Liang

2.3k citations
59 papers · 1.7k indexed · 1 hit paper · h-index 20
Topics
Antibiotic Resistance in Bacteria (16 papers)Salmonella and Campylobacter epidemiology (10 papers)Escherichia coli research studies (6 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEApplied and Environmental Microbiology

In The Last Decade

Beibei Liang

53 papers receiving 1.7k citations

Hit Papers

Colistin resistance of Acinetobacter baumannii: clinical ...20122026201620212012100200300400

Peers

Beibei Liang
Comparison fields: 5 of 116
  • Molecular Medicine 800
  • Molecular Biology 619
  • Endocrinology 389
  • Pharmacology 243
  • Epidemiology 223
Replace Dijun Du with:
Dijun Du United Kingdom
Nobuhisa Masuda Japan
Travis B. Nielsen United States
Mei‐Ling Han Australia
Denice C. Bay Canada
Charles R. Dean United States
Kate M. Peters Australia
François Sanschagrin Canada
Renee Raudonis Canada
David Keeney United States
Beibei Liang relative to Dijun Du United Kingdom Dijun Du's profile →
Citations per field
00.5×1.5×
Dijun Du · 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-authorship network of co-authors of Beibei Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Beibei Liang. A scholar is included among the top collaborators of Beibei Liang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Beibei Liang. Beibei Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 1
4 1
5 14
6 3
7 25
8 16
9 5
10 9
11 37
12 11
13 15
14 19
15 7
16 34
17 33
18 55
19 2
20 58

About Beibei Liang

Beibei Liang is a scholar working on Molecular Medicine, Endocrinology and Food Science, having authored 59 papers that have together received 1.7k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (16 papers), Salmonella and Campylobacter epidemiology (10 papers) and Escherichia coli research studies (6 papers). The work is most often cited by research in Molecular Medicine (800 citations), Endocrinology (389 citations) and Applied Microbiology and Biotechnology (98 citations). Beibei Liang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yun Cai, Dafei Chai, Nan Bai, Hongbin Song, Shaofu Qiu, Ligui Wang, Hao Li, Xinying Du, Xuelin Liu and Jie Li. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Applied and Environmental 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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