Raphael Taiwo Aruleba

18.5k citations
27 papers · 505 indexed · h-index 15
Topics
Research on Leishmaniasis Studies (6 papers)Parasites and Host Interactions (5 papers)Computational Drug Discovery Methods (4 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsInternational Journal of Molecular Sciences

In The Last Decade

Raphael Taiwo Aruleba

27 papers receiving 497 citations

Peers

Raphael Taiwo Aruleba
Comparison fields: 5 of 101
  • Molecular Biology 172
  • Parasitology 108
  • Public Health, Environmental and Occupational Health 88
  • Computational Theory and Mathematics 71
  • Ecology 52
Replace Tayo Alex Adekiya with:
Tayo Alex Adekiya South Africa
K. M. Kaderi Kibria Bangladesh
Priyanka Shah India
Dovile Anderson Australia
Desmond Omane Acheampong Ghana
Herwig Jansen Germany
Peter Njogu Kenya
Thomas Hudson United States
Giulia Chemi Italy
Joyce Villa Verde Bastos Borba Brazil
Raphael Taiwo Aruleba relative to Tayo Alex Adekiya South Africa Tayo Alex Adekiya's profile →
Citations per field
00.5×1.5×
Tayo Alex Adekiya · 1×
Citations per year

Countries citing papers authored by Raphael Taiwo Aruleba

Since Specialization
Citations

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

Fields of papers citing papers by Raphael Taiwo Aruleba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raphael Taiwo Aruleba. 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 Raphael Taiwo Aruleba. The network helps show where Raphael Taiwo Aruleba may publish in the future.

Co-authorship network of co-authors of Raphael Taiwo Aruleba

This figure shows the co-authorship network connecting the top 25 collaborators of Raphael Taiwo Aruleba. A scholar is included among the top collaborators of Raphael Taiwo Aruleba 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 Raphael Taiwo Aruleba. Raphael Taiwo Aruleba 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
#WorkIndexed citations
1 5
2 8
3 6
4 10
5 9
6 6
7 25
8 35
9 3
10 16
11 33
12 16
13 27
14 26
15 22
16 31
17 20
18 67
19 49
20 27

About Raphael Taiwo Aruleba

Raphael Taiwo Aruleba is a scholar working on Parasitology, Microbiology and Small Animals, having authored 27 papers that have together received 505 indexed citations. Recurring topics across this work include Research on Leishmaniasis Studies (6 papers), Parasites and Host Interactions (5 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Parasitology (108 citations), Computational Theory and Mathematics (71 citations) and Toxicology (13 citations). Raphael Taiwo Aruleba has collaborated with scholars based in South Africa, Nigeria and United States. Frequent co-authors include Tayo Alex Adekiya, Babatunji Emmanuel Oyinloye, Abidemi Paul Kappo, Adewale Oluwaseun Fadaka, Ashwil Klein, Kazeem O. Okosun, Basiru Olaitan Ajiboye, Oluwafemi Adeleke Ojo, Priscilla Masamba and Henry A. Adeola. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

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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