Mohammed Bahey-El-Din

1.1k total citations
38 papers, 835 citations indexed

About

Mohammed Bahey-El-Din is a scholar working on Molecular Biology, Infectious Diseases and Ecology. According to data from OpenAlex, Mohammed Bahey-El-Din has authored 38 papers receiving a total of 835 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Infectious Diseases and 9 papers in Ecology. Recurrent topics in Mohammed Bahey-El-Din's work include Bacteriophages and microbial interactions (7 papers), Listeria monocytogenes in Food Safety (7 papers) and Antibiotic Resistance in Bacteria (6 papers). Mohammed Bahey-El-Din is often cited by papers focused on Bacteriophages and microbial interactions (7 papers), Listeria monocytogenes in Food Safety (7 papers) and Antibiotic Resistance in Bacteria (6 papers). Mohammed Bahey-El-Din collaborates with scholars based in Egypt, Ireland and United States. Mohammed Bahey-El-Din's co-authors include Cormac G. M. Gahan, Brendan T. Griffin, Pat G. Casey, Salah A. Sheweita, Magda Sokar, Dalia S. Shaker, Ahmed O. Elzoghby, Shaker Ebrahim, Maged W. Helmy and Ossama Y. Abdallah and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biomacromolecules and International Journal of Pharmaceutics.

In The Last Decade

Mohammed Bahey-El-Din

37 papers receiving 820 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammed Bahey-El-Din Egypt 18 259 158 121 105 101 38 835
Irmgard Behlau United States 17 232 0.9× 353 2.2× 138 1.1× 113 1.1× 46 0.5× 30 1.3k
Shahram Nazarian Iran 16 276 1.1× 171 1.1× 293 2.4× 35 0.3× 74 0.7× 89 833
Leon G. Leanse United States 16 719 2.8× 115 0.7× 90 0.7× 34 0.3× 54 0.5× 28 1.4k
Camilla Björn Sweden 12 1.3k 4.9× 207 1.3× 72 0.6× 65 0.6× 58 0.6× 16 2.1k
Salvador F. Ausar Canada 22 332 1.3× 327 2.1× 339 2.8× 54 0.5× 51 0.5× 42 1.3k
Minakshi Prasad India 18 293 1.1× 121 0.8× 309 2.6× 100 1.0× 26 0.3× 79 1.4k
Jessica Z. Kubicek-Sutherland United States 16 633 2.4× 115 0.7× 181 1.5× 27 0.3× 34 0.3× 40 1.2k
Diane Williamson United Kingdom 12 527 2.0× 61 0.4× 161 1.3× 60 0.6× 42 0.4× 19 998
Maria Magana Greece 9 612 2.4× 128 0.8× 67 0.6× 22 0.2× 29 0.3× 18 1.2k

Countries citing papers authored by Mohammed Bahey-El-Din

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed Bahey-El-Din

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammed Bahey-El-Din. 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 Mohammed Bahey-El-Din. The network helps show where Mohammed Bahey-El-Din may publish in the future.

Co-authorship network of co-authors of Mohammed Bahey-El-Din

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Bahey-El-Din. A scholar is included among the top collaborators of Mohammed Bahey-El-Din 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 Mohammed Bahey-El-Din. Mohammed Bahey-El-Din 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.
El-Massik, Magda A., et al.. (2023). Targeted DPPC/DMPG surface-modified voriconazole lipid nanoparticles control invasive pulmonary aspergillosis in immunocompromised population: in-vitro and in-vivo assessment. International Journal of Pharmaceutics. 649. 123663–123663. 6 indexed citations
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Bahey-El-Din, Mohammed, et al.. (2021). Recombinant Ax21 protein is a promising subunit vaccine candidate against Stenotrophomonas maltophilia in a murine infection model. Vaccine. 39(32). 4471–4480. 3 indexed citations
5.
Eltaher, Hoda M., Kamilia Abdelraouf, Mohammed Bahey-El-Din, et al.. (2020). Vancomycin-functionalized Eudragit-based nanofibers: Tunable drug release and wound healing efficacy. Journal of Drug Delivery Science and Technology. 58. 101812–101812. 19 indexed citations
6.
Bahey-El-Din, Mohammed, et al.. (2020). Recombinant N-terminal outer membrane porin (OprF) of Pseudomonas aeruginosa is a promising vaccine candidate against both P. aeruginosa and some strains of Acinetobacter baumannii. International Journal of Medical Microbiology. 310(3). 151415–151415. 32 indexed citations
7.
Bahey-El-Din, Mohammed, et al.. (2019). Immunization with the basic membrane protein (BMP) family ABC transporter elicits protection against Enterococcus faecium in a murine infection model. Microbes and Infection. 22(3). 127–136. 3 indexed citations
8.
Bahey-El-Din, Mohammed, et al.. (2019). Immunization with the ferric iron-binding periplasmic protein HitA provides protection against Pseudomonas aeruginosa in the murine infection model. Microbial Pathogenesis. 131. 181–185. 17 indexed citations
9.
Bahey-El-Din, Mohammed, et al.. (2018). Immunization with the outer membrane proteins OmpK17 and OmpK36 elicits protection against Klebsiella pneumoniae in the murine infection model. Microbial Pathogenesis. 119. 12–18. 36 indexed citations
10.
Dowd, Georgina C., Mohammed Bahey-El-Din, Pat G. Casey, et al.. (2016). Listeria monocytogenesmutants defective in gallbladder replication represent safety-enhanced vaccine delivery platforms. Human Vaccines & Immunotherapeutics. 12(8). 2059–2063. 10 indexed citations
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Bahey-El-Din, Mohammed & Cormac G. M. Gahan. (2014). Vaccination Studies: Detection of a Listeria monocytogenes-Specific T Cell Immune Response Using the ELISPOT Technique. Methods in molecular biology. 1157. 263–274. 1 indexed citations
14.
Ewaisha, Radwa, et al.. (2014). Combination of the two schistosomal antigens Sm14 and Sm29 elicits significant protection against experimental Schistosoma mansoni infection. Experimental Parasitology. 145. 51–60. 18 indexed citations
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Bahey-El-Din, Mohammed. (2011). Lactococcus lactis-based vaccines from laboratory bench to human use: An overview. Vaccine. 30(4). 685–690. 57 indexed citations
16.
Bahey-El-Din, Mohammed & Cormac G. M. Gahan. (2010). Lactococcus lactis: from the dairy industry to antigen and therapeutic protein delivery.. PubMed. 9(48). 455–61. 16 indexed citations
17.
Bahey-El-Din, Mohammed, Pat G. Casey, Brendan T. Griffin, & Cormac G. M. Gahan. (2010). <p class="p1"> Efficacy of aLactococcus lactis<span class="s1">Δ</span>pyrGvaccine delivery platform expressing chromosomally integratedhlyfromListeria monocytogenes. PubMed. 1(1). 66–74. 28 indexed citations
18.
Bahey-El-Din, Mohammed, Cormac G. M. Gahan, & Brendan T. Griffin. (2010). Lactococcus lactis as a Cell Factory for Delivery of Therapeutic Proteins. Current Gene Therapy. 10(1). 34–45. 52 indexed citations
19.
Bahey-El-Din, Mohammed, Pat G. Casey, Brendan T. Griffin, & Cormac G. M. Gahan. (2008). Lactococcus lactis-expressing listeriolysin O (LLO) provides protection and specific CD8+ T cells against Listeria monocytogenes in the murine infection model. Vaccine. 26(41). 5304–5314. 48 indexed citations
20.
Bahey-El-Din, Mohammed, Brendan T. Griffin, & Cormac G. M. Gahan. (2008). Nisin inducible production of listeriolysin O in Lactococcus lactis NZ9000. Microbial Cell Factories. 7(1). 24–24. 26 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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