Abeni Beshiru

1.0k citations
45 papers · 789 · h-index 18

Impact in

Papers in

    • Identification and Quantification in Food 15
    • Bacterial biofilms and quorum sensing 11
    • Probiotics and Fermented Foods 9
    • Salmonella and Campylobacter epidemiology 7

Abeni Beshiru

43 papers receiving 769 citations

Peers

Abeni Beshiru
Comparison fields: 5 of 75
  • Endocrinology 232
  • Molecular Medicine 161
  • Applied Microbiology and Biotechnology 34
  • Biotechnology 138
  • Food Science 283
Replace Hyo‐Sun Kwak with:
Hyo‐Sun Kwak South Korea
Jian Miao United States
Ahmed Orabi Egypt
Taketoshi Iwata Japan
Sinisa Vidović Canada
Narender Kumar India
Hua H. Wang United States
Eva Van Meervenne Belgium
Bayleyegn Molla United States
Gun-Jo Woo South Korea
Abeni Beshiru relative to Hyo‐Sun Kwak South Korea Hyo‐Sun Kwak's profile →
Citations per field
00.5×1.5×2.3×
Hyo‐Sun Kwak · 1×
Citations per year

Countries citing papers authored by Abeni Beshiru

Since Specialization
Citations

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

Fields of papers citing papers by Abeni Beshiru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Abeni Beshiru, 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 Abeni Beshiru Line = papers co-authored together Abeni Beshiru links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201979
2 201655
3 201942
4 201639
5 201737
6 201837
7 201836
8 202033
9 202128
10 201627
11 202326
12 202226
13 201726
14 202325
15 202024
16 202322
17 202219
18 201818
19 202316
20 202016

About Abeni Beshiru

Abeni Beshiru is a scholar working on Molecular Biology, Food Science, Endocrinology, Molecular Medicine and Infectious Diseases, having authored 45 papers that have together received 789 indexed citations. Recurring topics across this work include Identification and Quantification in Food (15 papers), Vibrio bacteria research studies (13 papers), Bacterial biofilms and quorum sensing (11 papers), Probiotics and Fermented Foods (9 papers), Antibiotic Resistance in Bacteria (8 papers), Antimicrobial Resistance in Staphylococcus (8 papers), Salmonella and Campylobacter epidemiology (7 papers) and Aquaculture disease management and microbiota (7 papers). The work is most often cited by research in Endocrinology (232 citations), Molecular Medicine (161 citations), Applied Microbiology and Biotechnology (34 citations), Biotechnology (138 citations) and Food Science (283 citations). Abeni Beshiru has collaborated with scholars based in Nigeria, South Africa and Germany. Frequent co-authors include Etinosa O. Igbinosa, Isoken H. Igbinosa, Anthony I. Okoh, F.E. Oviasogie, Emmanuel E. Odjadjare, Collins Njie Ateba, Gyu‐Sung Cho, Charles M. A. P. Franz, Vincent N. Chigor and Temitope Cyrus Ekundayo. Their work appears in journals such as Microbial Pathogenesis, LWT, PLoS ONE, Scientific Reports and Frontiers in 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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