Mongi Benjeddou

885 total citations
49 papers, 604 citations indexed

About

Mongi Benjeddou is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, Mongi Benjeddou has authored 49 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Genetics, 14 papers in Molecular Biology and 10 papers in Oncology. Recurrent topics in Mongi Benjeddou's work include Forensic and Genetic Research (11 papers), Drug Transport and Resistance Mechanisms (10 papers) and Pharmacogenetics and Drug Metabolism (9 papers). Mongi Benjeddou is often cited by papers focused on Forensic and Genetic Research (11 papers), Drug Transport and Resistance Mechanisms (10 papers) and Pharmacogenetics and Drug Metabolism (9 papers). Mongi Benjeddou collaborates with scholars based in South Africa, United States and Egypt. Mongi Benjeddou's co-authors include Sean Davison, Neil Leat, Mike Allsopp, Oladele Vincent Adeniyi, Rabia Johnson, María Eugenia D’Amato, Sihle E. Mabhida, Jyoti Sharma, Teke Apalata and Morné Du Plessis and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied and Environmental Microbiology and Scientific Reports.

In The Last Decade

Mongi Benjeddou

46 papers receiving 567 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mongi Benjeddou South Africa 14 275 210 153 149 86 49 604
Ju Hyeon Kim South Korea 13 33 0.1× 132 0.6× 30 0.2× 129 0.9× 15 0.2× 77 500
Renata Nascimento de Freitas Brazil 14 40 0.1× 18 0.1× 32 0.2× 123 0.8× 76 0.9× 45 565
Waltraud M. Uedelhoven Germany 13 25 0.1× 103 0.5× 13 0.1× 111 0.7× 58 0.7× 16 522
R. Frénais France 13 27 0.1× 31 0.1× 29 0.2× 52 0.3× 188 2.2× 15 421
Xiangyu Zhu China 12 97 0.4× 9 0.0× 23 0.2× 160 1.1× 27 0.3× 42 509
Maryam Zare Iran 14 30 0.1× 20 0.1× 9 0.1× 222 1.5× 56 0.7× 35 518
Evans Da India 14 33 0.1× 36 0.2× 6 0.0× 89 0.6× 41 0.5× 44 480
Michelle Skelton South Africa 13 92 0.3× 4 0.0× 16 0.1× 202 1.4× 32 0.4× 33 638
C. van Gulpen Netherlands 8 29 0.1× 157 0.7× 26 0.2× 112 0.8× 5 0.1× 11 444
Anna Lanzoni Italy 15 24 0.1× 26 0.1× 7 0.0× 130 0.9× 15 0.2× 29 658

Countries citing papers authored by Mongi Benjeddou

Since Specialization
Citations

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

Fields of papers citing papers by Mongi Benjeddou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mongi Benjeddou

This figure shows the co-authorship network connecting the top 25 collaborators of Mongi Benjeddou. A scholar is included among the top collaborators of Mongi Benjeddou 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 Mongi Benjeddou. Mongi Benjeddou 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.
Hussein, Ahmed A., et al.. (2025). Phytochemical characterization and cytotoxicity effects of Hyptis suaveolens collected in Nigeria. South African Journal of Botany. 181. 47–51.
2.
Benjeddou, Mongi, et al.. (2024). Liposomal‐Naringenin Radiosensitizes Triple‐Negative Breast Cancer MDA‐MB‐231 Cells In Vitro. IET Nanobiotechnology. 2024(1). 3786627–3786627. 2 indexed citations
3.
Johnson, Rabia, et al.. (2024). Effects of Xhosa specific solute carrier family 22-member 2 haplotypes on the cellular uptake of metformin and cimetidine. Gene. 937. 149157–149157. 1 indexed citations
4.
Mabhida, Sihle E., Babu Muhamed, Jyoti Sharma, et al.. (2022). Methylenetetrahydrofolate Reductase Polymorphism (rs1801133) and the Risk of Hypertension among African Populations: A Narrative Synthesis of Literature. Genes. 13(4). 631–631. 8 indexed citations
5.
6.
7.
Benjeddou, Mongi & Ana M. Peiró. (2021). Pharmacogenomics and Prescription Opioid Use. Pharmacogenomics. 22(4). 235–245. 7 indexed citations
8.
Adeniyi, Oladele Vincent, et al.. (2021). Single Nucleotide Polymorphisms Associated with Metformin and Sulphonylureas’ Glycaemic Response among South African Adults with Type 2 Diabetes Mellitus. Journal of Personalized Medicine. 11(2). 104–104. 5 indexed citations
9.
Sharma, Jyoti, Sihle E. Mabhida, Bronwyn Myers, et al.. (2021). Prevalence of Hypertension and Its Associated Risk Factors in a Rural Black Population of Mthatha Town, South Africa. International Journal of Environmental Research and Public Health. 18(3). 1215–1215. 35 indexed citations
10.
Omoruyi, Sylvester I., Jelili A. Badmus, Enas Ismail, et al.. (2021). The potential of chalcone-capped gold nanoparticles for the management of diabetes mellitus. Surfaces and Interfaces. 25. 101251–101251. 17 indexed citations
11.
Adeniyi, Oladele Vincent, et al.. (2020). Genomic Association of Single Nucleotide Polymorphisms with Blood Pressure Response to Hydrochlorothiazide among South African Adults with Hypertension. Journal of Personalized Medicine. 10(4). 267–267. 7 indexed citations
12.
Johnson, Rabia, et al.. (2020). Identification of potential biomarkers for predicting the early onset of diabetic cardiomyopathy in a mouse model. Scientific Reports. 10(1). 12352–12352. 15 indexed citations
13.
Benjeddou, Mongi, et al.. (2018). Effect of the African-specific promoter polymorphisms on the SLC22A2 gene expression levels. Drug Metabolism and Personalized Therapy. 33(2). 85–89. 2 indexed citations
14.
Benjeddou, Mongi, et al.. (2016). SLC22A2 – mapping genomic variations within South African indigenous and admixed populations. Drug Metabolism and Personalized Therapy. 31(4). 213–220. 1 indexed citations
15.
Benjeddou, Mongi. (2010). Solute carrier transporters: Pharmacogenomics research opportunities in Africa. AFRICAN JOURNAL OF BIOTECHNOLOGY. 9(54). 9191–9195. 1 indexed citations
16.
Davison, Sean, Mongi Benjeddou, & María Eugenia D’Amato. (2008). Molecular genetic identification of skeletal remains of apartheid activists in South Africa. AFRICAN JOURNAL OF BIOTECHNOLOGY. 7(25). 4750–4757. 2 indexed citations
17.
Benjeddou, Mongi, Neil Leat, & Sean Davison. (2006). Use of molecular genetics and historical records to reconstruct the history of local communities. AFRICAN JOURNAL OF BIOTECHNOLOGY. 5(25). 1 indexed citations
18.
Leat, Neil, et al.. (2006). Properties of novel and widely studied Y-STR loci in three South African populations. Forensic Science International. 168(2-3). 154–161. 22 indexed citations
19.
Davison, Sean, et al.. (2005). Detection of three honeybee viruses simultaneously by a single Multiplex Reverse Transcriptase PCR. AFRICAN JOURNAL OF BIOTECHNOLOGY. 4(8). 763–767. 20 indexed citations
20.
Leat, Neil, et al.. (2004). Developments in the use of Y-chromosome markers in forensic genetics. AFRICAN JOURNAL OF BIOTECHNOLOGY. 3(12). 637–642. 6 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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