Yemisi A. Adebowale

695 total citations
8 papers, 564 citations indexed

About

Yemisi A. Adebowale is a scholar working on Food Science, Plant Science and Nutrition and Dietetics. According to data from OpenAlex, Yemisi A. Adebowale has authored 8 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Food Science, 5 papers in Plant Science and 3 papers in Nutrition and Dietetics. Recurrent topics in Yemisi A. Adebowale's work include Proteins in Food Systems (6 papers), Food Chemistry and Fat Analysis (3 papers) and Phytase and its Applications (3 papers). Yemisi A. Adebowale is often cited by papers focused on Proteins in Food Systems (6 papers), Food Chemistry and Fat Analysis (3 papers) and Phytase and its Applications (3 papers). Yemisi A. Adebowale collaborates with scholars based in Nigeria, United Kingdom and Germany. Yemisi A. Adebowale's co-authors include A. A. Oshodi, I.A. Adeyemi, Kayode O. Adebowale, Olayide S. Lawal, Uwe Schwarzenbolz, Thomas Henle, Keshavan Niranjan and Adewale Adewuyi and has published in prestigious journals such as Food Chemistry, Food Research International and International Journal of Biological Macromolecules.

In The Last Decade

Yemisi A. Adebowale

8 papers receiving 517 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yemisi A. Adebowale Nigeria 6 398 244 228 65 58 8 564
C. Ordorica‐Falomir Mexico 12 374 0.9× 222 0.9× 254 1.1× 74 1.1× 38 0.7× 17 532
El-Sayed A. Abd El-Hady Egypt 7 274 0.7× 183 0.8× 180 0.8× 32 0.5× 18 0.3× 12 401
Evdoxia M Papalamprou Greece 10 522 1.3× 162 0.7× 248 1.1× 66 1.0× 36 0.6× 10 631
Abimbola Kemisola Arise Nigeria 12 236 0.6× 258 1.1× 180 0.8× 96 1.5× 32 0.6× 27 464
Paola Fortunati Italy 10 253 0.6× 202 0.8× 352 1.5× 36 0.6× 20 0.3× 13 521
R. Sánchez‐Vioque Spain 7 293 0.7× 188 0.8× 133 0.6× 140 2.2× 15 0.3× 10 405
M. A. Mwasaru Kenya 10 294 0.7× 210 0.9× 184 0.8× 65 1.0× 35 0.6× 17 443
Neus Bernat Spain 8 357 0.9× 61 0.3× 239 1.0× 55 0.8× 22 0.4× 9 447
Alejandro Varela Spain 9 188 0.5× 271 1.1× 127 0.6× 79 1.2× 14 0.2× 14 477
H.O. Agu Nigeria 11 146 0.4× 137 0.6× 152 0.7× 25 0.4× 35 0.6× 29 354

Countries citing papers authored by Yemisi A. Adebowale

Since Specialization
Citations

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

Fields of papers citing papers by Yemisi A. Adebowale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yemisi A. Adebowale

This figure shows the co-authorship network connecting the top 25 collaborators of Yemisi A. Adebowale. A scholar is included among the top collaborators of Yemisi A. Adebowale 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 Yemisi A. Adebowale. Yemisi A. Adebowale is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Adebowale, Yemisi A., Adewale Adewuyi, & Kayode O. Adebowale. (2012). Lipid composition and molecular speciation of the triacylglycerol of the oil of Picralima nitida.. 37(1). 1–7. 4 indexed citations
2.
Adebowale, Yemisi A., Uwe Schwarzenbolz, & Thomas Henle. (2010). Protein Isolates from Bambara Groundnut (Voandzeia SubterraneanL.): Chemical Characterization and Functional Properties. International Journal of Food Properties. 14(4). 758–775. 99 indexed citations
3.
Adebowale, Yemisi A., I.A. Adeyemi, A. A. Oshodi, & Keshavan Niranjan. (2007). Isolation, fractionation and characterisation of proteins from Mucuna bean. Food Chemistry. 104(1). 287–299. 56 indexed citations
4.
Lawal, Olayide S., Kayode O. Adebowale, & Yemisi A. Adebowale. (2007). Functional properties of native and chemically modified protein concentrates from bambarra groundnut. Food Research International. 40(8). 1003–1011. 119 indexed citations
5.
Adebowale, Yemisi A. & Kayode O. Adebowale. (2006). The influence of kosmotropic and chaotropic salts on the functional properties of Mucuna pruriens protein isolate. International Journal of Biological Macromolecules. 40(2). 119–125. 14 indexed citations
6.
Adebowale, Yemisi A., I.A. Adeyemi, & A. A. Oshodi. (2005). Functional and physicochemical properties of flours of six Mucuna species. AFRICAN JOURNAL OF BIOTECHNOLOGY. 4(12). 1461–1468. 154 indexed citations
7.
Adebowale, Yemisi A., et al.. (2005). PHYSICOCHEMICAL AND ANTINUTRITIONAL ATTRIBUTES: VARIABILITY IN THE PHYSICOCHEMICAL AND ANTINUTRITIONAL ATTRIBUTES OF SIX MUCUNA SPECIES. 89. 37–48. 1 indexed citations
8.
Adebowale, Yemisi A.. (2004). Variability in the physicochemical, nutritional and antinutritional attributes of six Mucuna species. Food Chemistry. 89(1). 37–48. 117 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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