Beilei Ge

4.2k citations
58 papers · 3.4k indexed · h-index 33

Impact in

  • Endocrinology top 0.5%
    • Vibrio bacteria research studies
    • Escherichia coli research studies
  • Food Science top 0.2%
    • Salmonella and Campylobacter epidemiology

Papers in

    • Vibrio bacteria research studies 12
    • Escherichia coli research studies 8
    • Salmonella and Campylobacter epidemiology 38

Beilei Ge

57 papers receiving 3.2k citations

Peers

Beilei Ge
Comparison fields: 5 of 107
  • Endocrinology 931
  • Food Science 1.9k
  • Biotechnology 747
  • Molecular Medicine 397
  • Infectious Diseases 958
Replace Thomas Alter with:
Thomas Alter Germany
Guy H. Loneragan United States
Jacek Osek Poland
Dorte Lau Baggesen Denmark
John Hwa Lee South Korea
Hassan Momtaz Iran
Hein Imberechts Belgium
Katelijne Dierick Belgium
David D. Wagner United States
Steven L. Foley United States
Beilei Ge relative to Thomas Alter Germany Thomas Alter's profile →
Citations per field
00.5×1.5×1.9×
Thomas Alter · 1×
Citations per year

Countries citing papers authored by Beilei Ge

Since Specialization
Citations

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

Fields of papers citing papers by Beilei Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20224
2 202015
3 20207
4 201884
5 201647
6 201693
7 201312
8 2013130
9 201371
10 201323
11 201339
12 201154
13 201051
14 201086
15 200928
16 200843
17 200839
18 200718
19 200213
20 200269

About Beilei Ge

Beilei Ge is a scholar working on Endocrinology, Food Science, Biotechnology, Molecular Medicine and Infectious Diseases, having authored 58 papers that have together received 3.4k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (38 papers), Biosensors and Analytical Detection (17 papers), Vibrio bacteria research studies (12 papers), Listeria monocytogenes in Food Safety (12 papers), Identification and Quantification in Food (11 papers), Viral gastroenteritis research and epidemiology (9 papers), Escherichia coli research studies (8 papers) and Aquaculture disease management and microbiota (8 papers). The work is most often cited by research in Endocrinology (931 citations), Food Science (1.9k citations), Biotechnology (747 citations), Molecular Medicine (397 citations) and Infectious Diseases (958 citations). Beilei Ge has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Jianghong Meng, Feifei Han, David G. White, Shaohua Zhao, Qianru Yang, Fei Wang, Shuaihua Pu, Patrick F. McDermott, Witoon Prinyawiwatkul and David D. Wagner. Their work appears in journals such as Applied and Environmental Microbiology, Journal of Food Protection, Foodborne Pathogens and Disease, Journal of Applied Microbiology and Food 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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