Badria El-Sayed

1.1k citations
24 papers · 872 · h-index 14

Impact in

Papers in

Badria El-Sayed

24 papers receiving 845 citations

Peers

Badria El-Sayed
Comparison fields: 5 of 48
  • Public Health, Environmental and Occupational Health 751
  • Insect Science 108
  • Ecological Modeling 4
  • Parasitology 9
  • Health, Toxicology and Mutagenesis 17
Replace R. L. Ihalamulla with:
R. L. Ihalamulla Sri Lanka
Ziqiang Yan China
SHARRON A. LONG Australia
Araya Gebresilassie Ethiopia
Sayena Rafizadeh Iran
Armel Djènontin Benin
Dieudonné Diloma Soma Burkina Faso
Luiz Herman Soares Gil Brazil
Long Thi Vo Vietnam
J. M. C. Doannio Ivory Coast
Badria El-Sayed relative to R. L. Ihalamulla Sri Lanka R. L. Ihalamulla's profile →
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Citations per year

Countries citing papers authored by Badria El-Sayed

Since Specialization
Citations

This map shows the geographic impact of Badria 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 Badria 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 Badria El-Sayed more than expected).

Fields of papers citing papers by Badria El-Sayed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Badria El-Sayed, 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 Badria El-Sayed Line = papers co-authored together Badria El-Sayed links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014217
2 200975
3 200870
4 201165
5 200956
6 200050
7 201345
8 201437
9 200735
10 200932
11 202031
12 201030
13 200722
14 201920
15 201414
16 201113
17 201312
18 201612
19 202212
20 201010

About Badria El-Sayed

Badria El-Sayed is a scholar working on Public Health, Environmental and Occupational Health, Insect Science, Genetics, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 24 papers that have together received 872 indexed citations. Recurring topics across this work include Malaria Research and Control (21 papers), Insect behavior and control techniques (7 papers), Genetic diversity and population structure (1 paper) and Mosquito-borne diseases and control (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (751 citations), Insect Science (108 citations), Ecological Modeling (4 citations), Parasitology (9 citations) and Health, Toxicology and Mutagenesis (17 citations). Badria El-Sayed has collaborated with scholars based in Sudan, United Kingdom and Netherlands. Frequent co-authors include Colin A. Malcolm, Bart GJ Knols, Mo’awia Mukhtar Hassan, Nahla B. Gadalla, David C. Warhurst, Michelle E. H. Helinski, Ishag Adam, Mark Q. Benedict, Jonathan Cox and Colin J. Sutherland. Their work appears in journals such as Malaria Journal, Acta Tropica, The Journal of Infectious Diseases, BMC Medicine and Parasitology.

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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