Salwa M. El-Sayed

38 total papers · 664 total citations
26 papers, 458 citations indexed

About

Salwa M. El-Sayed is a scholar working on Plant Science, Food Science and Molecular Biology. According to data from OpenAlex, Salwa M. El-Sayed has authored 26 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 7 papers in Food Science and 6 papers in Molecular Biology. Recurrent topics in Salwa M. El-Sayed's work include Insect Pest Control Strategies (5 papers), Essential Oils and Antimicrobial Activity (3 papers) and Algal biology and biofuel production (3 papers). Salwa M. El-Sayed is often cited by papers focused on Insect Pest Control Strategies (5 papers), Essential Oils and Antimicrobial Activity (3 papers) and Algal biology and biofuel production (3 papers). Salwa M. El-Sayed collaborates with scholars based in Egypt, Saudi Arabia and China. Salwa M. El-Sayed's co-authors include Mohsen S. Asker, Mohamed Hikal, Gamal A. Gabr, Basma T. Abd-Elhalim, Bahaa A. Hemdan, Doaa Bahaa Eldin Darwish, Hesham Elhariry, Samy F. Mahmoud, Karim M. Hassan and Mohamed F. M. Ibrahim and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Food Chemistry.

In The Last Decade

Salwa M. El-Sayed

24 papers receiving 453 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Salwa M. El-Sayed 156 113 79 73 67 26 458
Zhiyong Zhang 120 0.8× 71 0.6× 89 1.1× 87 1.2× 100 1.5× 22 533
Abdallah S. Ali 163 1.0× 94 0.8× 96 1.2× 78 1.1× 31 0.5× 23 507
Chen Liu 123 0.8× 58 0.5× 79 1.0× 80 1.1× 186 2.8× 33 525
Noha M. Sorour 51 0.3× 87 0.8× 96 1.2× 59 0.8× 69 1.0× 21 430
Xia Li 72 0.5× 82 0.7× 64 0.8× 86 1.2× 173 2.6× 26 540
Roberto Balducchi 219 1.4× 69 0.6× 99 1.3× 18 0.2× 104 1.6× 22 467
Shagufta Naz 73 0.5× 198 1.8× 81 1.0× 108 1.5× 37 0.6× 37 516
Samad Tavakoli 150 1.0× 47 0.4× 80 1.0× 27 0.4× 106 1.6× 18 516
Prajna Paramita Bhuyan 98 0.6× 54 0.5× 105 1.3× 28 0.4× 46 0.7× 14 430
Hemanta Kumar Gogoi 65 0.4× 169 1.5× 90 1.1× 17 0.2× 52 0.8× 26 440

Countries citing papers authored by Salwa M. El-Sayed

Since Specialization
Citations

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

Fields of papers citing papers by Salwa M. El-Sayed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Salwa M. El-Sayed. 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 Salwa M. El-Sayed. The network helps show where Salwa M. El-Sayed may publish in the future.

Co-authorship network of co-authors of Salwa M. El-Sayed

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

All Works

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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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