Michael Agbaje

454 total citations
25 papers, 317 citations indexed

About

Michael Agbaje is a scholar working on Food Science, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, Michael Agbaje has authored 25 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Food Science, 7 papers in Molecular Biology and 6 papers in Animal Science and Zoology. Recurrent topics in Michael Agbaje's work include Salmonella and Campylobacter epidemiology (10 papers), Animal Nutrition and Physiology (6 papers) and Vibrio bacteria research studies (5 papers). Michael Agbaje is often cited by papers focused on Salmonella and Campylobacter epidemiology (10 papers), Animal Nutrition and Physiology (6 papers) and Vibrio bacteria research studies (5 papers). Michael Agbaje collaborates with scholars based in Nigeria, South Africa and Italy. Michael Agbaje's co-authors include Olufemi Ernest Ojo, Folorunso O. Fasina, M. A. Oyekunle, Carmina Gallardo, David D. Lazarus, Peter N. Thompson, Armanda D. S. Bastos, Olubukola T. Adenubi, Oluwawemimo Adebowale and M. A. Dipeolu and has published in prestigious journals such as PeerJ, Preventive Veterinary Medicine and Frontiers in Public Health.

In The Last Decade

Michael Agbaje

21 papers receiving 300 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Agbaje Nigeria 10 114 76 67 66 55 25 317
Md. Yamin Ali Bangladesh 11 93 0.8× 32 0.4× 92 1.4× 73 1.1× 41 0.7× 14 342
Pham Thi Ngoc Vietnam 10 150 1.3× 58 0.8× 147 2.2× 136 2.1× 36 0.7× 21 377
Abdurrahman Hassan Jibril Nigeria 9 116 1.0× 54 0.7× 59 0.9× 33 0.5× 50 0.9× 40 314
Maria‐Eleni Filippitzi Belgium 11 52 0.5× 97 1.3× 77 1.1× 105 1.6× 32 0.6× 23 372
Dinka Ayana Ethiopia 9 146 1.3× 51 0.7× 49 0.7× 48 0.7× 41 0.7× 28 368
Sokerya Seng Cambodia 10 52 0.5× 52 0.7× 89 1.3× 73 1.1× 24 0.4× 15 295
Kristina Osbjer Cambodia 12 89 0.8× 66 0.9× 75 1.1× 75 1.1× 16 0.3× 17 324
Shivdeep S. Hayer United States 12 88 0.8× 65 0.9× 156 2.3× 123 1.9× 52 0.9× 19 382
Yvon Geurts Netherlands 10 68 0.6× 80 1.1× 160 2.4× 51 0.8× 60 1.1× 11 285
Abel Wade Cameroon 10 32 0.3× 57 0.8× 77 1.1× 73 1.1× 70 1.3× 27 292

Countries citing papers authored by Michael Agbaje

Since Specialization
Citations

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

Fields of papers citing papers by Michael Agbaje

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Agbaje

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Agbaje. A scholar is included among the top collaborators of Michael Agbaje 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 Michael Agbaje. Michael Agbaje 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
1.
Agbaje, Michael, et al.. (2024). Gut microbial composition differs among FUNAAB Alpha broiler chicken genotypes raised in a tropical environment. Microbial Pathogenesis. 198. 107126–107126. 1 indexed citations
2.
3.
Agbaje, Michael, et al.. (2024). Neural Network-Based Cyber-Bullying and Cyber-Aggression Detection Using Twitter(X) Text. Revue d intelligence artificielle. 38(3). 837–846. 1 indexed citations
4.
Awodele, Oludele, et al.. (2023). Enhancing Face Spoofing Attack Detection: Performance Evaluation of a VGG-19 CNN Model. 2(2). 84–98. 2 indexed citations
5.
Agbaje, Michael, et al.. (2023). Evaluation of herbal leaf meal as an alternative to in-feed antibiotics on haematological parameter and serum biochemical indices of growing sexed pigs. The Indian Journal of Animal Sciences. 93(3). 1 indexed citations
6.
Agbaje, Michael, et al.. (2022). Characterization of the cecal microbiome composition of Nigerian indigenous chickens. Tropical Animal Health and Production. 54(4). 211–211. 5 indexed citations
7.
Awoyomi, Olajoju Jokotola, et al.. (2021). Isolation of Aeromonas hydrophila in a case of wound infection in cattle in Nigeria. Nigerian Journal of Animal Production. 41(1). 213–219.
8.
9.
Fasina, Folorunso O., Legesse Kassa Debusho, Aminu Shittu, et al.. (2020). Knowledge, Attitudes, and Perceptions Associated With Antimicrobial Stewardship Among Veterinary Students: A Multi-Country Survey From Nigeria, South Africa, and Sudan. Frontiers in Public Health. 8. 517964–517964. 29 indexed citations
10.
Agbaje, Michael, Legesse Kassa Debusho, Aminu Shittu, et al.. (2019). Implication of the knowledge and perceptions of veterinary students of antimicrobial resistance for future prescription of antimicrobials in animal health, South Africa. Journal of the South African Veterinary Association. 90(0). e1–e8. 25 indexed citations
11.
Agbaje, Michael, Antonia Anna Lettini, Olufemi Ernest Ojo, et al.. (2019). Antimicrobial resistance profiles of <em>Salmonella</em> serovars isolated from dressed chicken meat at slaughter in Kaduna, Nigeria. Revue d’élevage et de médecine vétérinaire des pays tropicaux. 72(4). 173–179. 6 indexed citations
12.
Agbaje, Michael, Catrin S. Rutland, Grazieli Maboni, et al.. (2018). Novel inflammatory cell infiltration scoring system to investigate healthy and footrot affected ovine interdigital skin. PeerJ. 6. e5097–e5097. 18 indexed citations
13.
Ojo, Olufemi Ernest, et al.. (2017). Multidrug-resistant Salmonellae isolated in Japanese quails reared in Abeokuta, Nigeria. Tropical Animal Health and Production. 49(7). 1455–1460. 11 indexed citations
14.
Agbaje, Michael, et al.. (2012). Serological Survey of Brucellosis in Food Animals in Ogun State, Nigeria. Bulletin of animal health and production in Africa. 60(2). 181–185. 1 indexed citations
15.
Ojo, Olufemi Ernest, et al.. (2012). Quinolone Resistance in Bacterial Isolates from Chicken Carcasses in Abeokuta, Nigeria: A Retrospective Study from 2005-2011. Nigerian Veterinary Journal. 33(2). 483–491. 5 indexed citations
16.
Ojo, Olufemi Ernest, et al.. (2012). Antibiogram of Enterobacteriaceae isolated from free-range chickens in Abeokuta, Nigeria.. Veterinarski arhiv. 82(6). 577–589. 14 indexed citations
17.
Grace, Delia, M. A. Dipeolu, Janice Olawoye, et al.. (2012). Evaluating a group-based intervention to improve the safety of meat in Bodija Market, Ibadan, Nigeria. Tropical Animal Health and Production. 44(S1). 61–66. 13 indexed citations
18.
Agbaje, Michael, et al.. (2011). Microbiological Safety of Corn-Based Snack Product, Aadun, Sold in Abeokuta, South-Western Nigeria. Nigerian Food Journal. 29(1).
19.
Agbaje, Michael, et al.. (2011). Evolution of Salmonella nomenclature: a critical note. Folia Microbiologica. 56(6). 497–503. 34 indexed citations
20.
Agbaje, Michael, et al.. (2010). Observation on the occurrence and transmission pattern of Salmonella gallinarum in commercial poultry farms in Ogun State, South Western Nigeria. African Journal of Microbiology Research. 4(9). 796–800. 12 indexed citations

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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