Mostafa Essam Eissa

73 papers receiving 268 citations

Peers

Mostafa Essam Eissa
Comparison fields: 5 of 106
  • Statistics, Probability and Uncertainty 45
  • Microbiology 35
  • Modeling and Simulation 25
  • Medical Laboratory Technology 5
  • Food Science 57
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Citations per year

Countries citing papers authored by Mostafa Essam Eissa

Since Specialization
Citations

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

Fields of papers citing papers by Mostafa Essam Eissa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mostafa Essam Eissa. 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 Mostafa Essam Eissa. The network helps show where Mostafa Essam Eissa may publish in the future.

Co-authors

The 14 scholars most cited alongside Mostafa Essam Eissa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mostafa Essam Eissa Line = papers co-authored together Mostafa Essam Eissa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201924
2 201923
3 202222
4 201615
5 201115
6 201514
7 201414
8 20198
9 20178
10
Sero-response to measles-mumps-rubella vaccine campaign in Saudi Arabia.
20028
11
Neutralizer Evaluation Study of Some Microbial Isolates Against Two Strong Disinfectants with and Without the Presence of Synthetic Detergent
20127
12
Evaluation of microbiological purified water trend using two types of control chart
20186
13 20156
14
Microbiological Quality of Purified Water Assessment Using Two Different Trending Approaches: A Case Study
20185
15 20245
16 20215
17 20175
18 20215
19 20225
20 20165

About Mostafa Essam Eissa

Mostafa Essam Eissa is a scholar working on Statistics, Probability and Uncertainty, Food Science, Molecular Biology, Public Health, Environmental and Occupational Health and Modeling and Simulation, having authored 104 papers that have together received 345 indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (22 papers), Pesticide Residue Analysis and Safety (10 papers), COVID-19 epidemiological studies (10 papers), Antimicrobial agents and applications (9 papers), Analytical Methods in Pharmaceuticals (5 papers), Bacterial biofilms and quorum sensing (5 papers), COVID-19 Pandemic Impacts (5 papers) and Water Treatment and Disinfection (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (45 citations), Microbiology (35 citations), Modeling and Simulation (25 citations), Medical Laboratory Technology (5 citations) and Food Science (57 citations). Mostafa Essam Eissa has collaborated with scholars based in Egypt, United Kingdom and Saudi Arabia. Frequent co-authors include Engy Refaat Rashed, Nasser A. Saeed, Moselhy S. Mansy, Moritz Klischat, Matthias Althoff, Mohamed Seif, Mohamed Seif El-Din Ashour, Yagob Al-Mazrou, Lenore Arab and Ramy Mohamed Ghazy. Their work appears in journals such as Asian Journal of Applied Sciences, Bulletin of Faculty of Pharmacy Cairo University , Vaccine, International Journal of Pharmacy and Pharmaceutical Sciences and PDA Journal of Pharmaceutical Science and Technology.

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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