M. A. Dipeolu

517 total citations
39 papers, 397 citations indexed

About

M. A. Dipeolu is a scholar working on Food Science, Agronomy and Crop Science and Animal Science and Zoology. According to data from OpenAlex, M. A. Dipeolu has authored 39 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Food Science, 13 papers in Agronomy and Crop Science and 8 papers in Animal Science and Zoology. Recurrent topics in M. A. Dipeolu's work include Salmonella and Campylobacter epidemiology (6 papers), Identification and Quantification in Food (5 papers) and Milk Quality and Mastitis in Dairy Cows (5 papers). M. A. Dipeolu is often cited by papers focused on Salmonella and Campylobacter epidemiology (6 papers), Identification and Quantification in Food (5 papers) and Milk Quality and Mastitis in Dairy Cows (5 papers). M. A. Dipeolu collaborates with scholars based in Nigeria, Spain and Kenya. M. A. Dipeolu's co-authors include Olufemi Ernest Ojo, Delia Grace, Sunday Samson Babalola, Adegbenga M. Sunmola, Silvia Alonso, Uwem Friday Ekpo, M. A. Oyekunle, Olajoju Jokotola Awoyomi, Štefan Schwarz and Thomas F. Randolph and has published in prestigious journals such as SHILAP Revista de lepidopterología, Veterinary Microbiology and Antibiotics.

In The Last Decade

M. A. Dipeolu

37 papers receiving 351 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. A. Dipeolu Nigeria 13 124 81 61 60 59 39 397
Patrick Muinde United Kingdom 13 118 1.0× 70 0.9× 39 0.6× 17 0.3× 33 0.6× 20 430
James Wabwire Oguttu South Africa 15 182 1.5× 40 0.5× 81 1.3× 30 0.5× 149 2.5× 61 602
Jens Strodl Andersen Denmark 12 143 1.2× 50 0.6× 123 2.0× 21 0.3× 66 1.1× 18 575
Stella Kiambi Kenya 11 113 0.9× 52 0.6× 123 2.0× 22 0.4× 90 1.5× 19 498
Rokeya Ahmed Bangladesh 9 49 0.4× 50 0.6× 37 0.6× 60 1.0× 28 0.5× 20 437
Olubunmi G. Fasanmi South Africa 13 88 0.7× 46 0.6× 60 1.0× 11 0.2× 47 0.8× 32 367
Marco Jermini Switzerland 14 349 2.8× 44 0.5× 23 0.4× 46 0.8× 24 0.4× 34 796
Jessie Vipham United States 15 336 2.7× 116 1.4× 21 0.3× 15 0.3× 34 0.6× 69 539
Alicia J. Polachek Canada 8 168 1.4× 73 0.9× 332 5.4× 53 0.9× 239 4.1× 14 824
James Akoko Kenya 15 209 1.7× 94 1.2× 24 0.4× 16 0.3× 16 0.3× 38 508

Countries citing papers authored by M. A. Dipeolu

Since Specialization
Citations

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

Fields of papers citing papers by M. A. Dipeolu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. A. Dipeolu. 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 M. A. Dipeolu. The network helps show where M. A. Dipeolu may publish in the future.

Co-authorship network of co-authors of M. A. Dipeolu

This figure shows the co-authorship network connecting the top 25 collaborators of M. A. Dipeolu. A scholar is included among the top collaborators of M. A. Dipeolu 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 M. A. Dipeolu. M. A. Dipeolu 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.
Grace, Delia, M. A. Dipeolu, & Silvia Alonso. (2019). Improving food safety in the informal sector: nine years later. Infection Ecology & Epidemiology. 9(1). 1579613–1579613. 32 indexed citations
3.
Ojo, Olufemi Ernest, et al.. (2017). Activities and influence of veterinary drug marketers on antimicrobial usage in livestock production in Oyo and Kaduna States, Nigeria. SHILAP Revista de lepidopterología. 4 indexed citations
4.
Omóbòwálé, Temidayo Olutayo, et al.. (2016). Reliability of clinical monitoring for the diagnosis of babesiosis in dogs in Nigeria. Veterinary Medicine Research and Reports. Volume 7. 85–90. 3 indexed citations
5.
Dipeolu, M. A., et al.. (2015). Descriptive survey of personal hygiene and knowledge of exposure factors of zoonotic diseases among poultry workers in Ogun state, Nigeria. Bulletin of animal health and production in Africa. 63(1). 93–99. 1 indexed citations
6.
Ojo, Olufemi Ernest, et al.. (2015). Antimicrobials in animal production: usage and practices among livestock farmers in Oyo and Kaduna States of Nigeria. Tropical Animal Health and Production. 48(1). 189–197. 34 indexed citations
7.
Adebambo, Olufunmilayo A., et al.. (2012). Prevalence of mange among West African Dwarf sheep and goats and associated haematological and biochemical parameters. Tropical Animal Health and Production. 44(6). 1263–1269. 5 indexed citations
8.
Grace, Delia, et al.. (2012). The influence of gender and group membership on food safety: the case of meat sellers in Bodija market, Ibadan, Nigeria. Tropical Animal Health and Production. 44(S1). 53–59. 16 indexed citations
9.
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
10.
Dipeolu, M. A., et al.. (2011). Isolation of Tatumella ptyseos from Beef in Ibadan, Nigeria. Nigerian Veterinary Journal. 32(3). 222–225. 1 indexed citations
11.
Osinowo, O. A., et al.. (2010). Effects of Breed, Age, Season And Week on Milk Secretion Rate and Eight hour Milk yield of West African Dwarf and Red Sokoto Goats. 7(1). 13–17. 1 indexed citations
12.
Dipeolu, M. A., et al.. (2008). Feeding broiler chicken with diets containing whole cassava root meal fermented with rumen filtrate. Archivos de Zootecnia. 57(218). 247–258. 24 indexed citations
13.
Ekpo, Uwem Friday, et al.. (2008). Prevalence of malnutrition among settled pastoral Fulani children in Southwest Nigeria. BMC Research Notes. 1(1). 7–7. 28 indexed citations
14.
Dipeolu, M. A., et al.. (2007). Enhancing the nutritional value of whole cassava root meal by rumen filtrate fermentation. Archivos de Zootecnia. 56(214). 261–264. 9 indexed citations
15.
Osinowo, O. A., et al.. (2005). Factors affecting colostrum and milk of westAfrican dwarf and red Sokoto goats. Archivos de Zootecnia. 54(208). 643–646. 2 indexed citations
16.
Dipeolu, M. A., et al.. (2005). Comparison of effects of antibiotics and enzymeinclusion in diets of laying birds. Archivos de Zootecnia. 54(205). 3–11. 15 indexed citations
17.
Dipeolu, M. A., et al.. (2002). Residues of streptomycin antibiotic in meat sold for human consumption in some states of SW Nigeria. Archivos de Zootecnia. 51(196). 477–480. 17 indexed citations
18.
Dipeolu, M. A., et al.. (2001). Residues of Tetracycline Antibiotic in Cattle Meat Marketed in Ogun and Lagos States of Nigeria. 1(2). 31–36. 2 indexed citations
19.
Oduguwa, O. O., et al.. (2000). Potency of two proprietary micronutrient premixesfor broiler chickens at marginally deficientprotein contents. Archivos de Zootecnia. 49(188). 433–444. 4 indexed citations
20.
Dipeolu, M. A., et al.. (2000). The prevalence of fascioliasis in south western Nigeria (1986-91).. 15(2). 151–152. 4 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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