Najib M. El-Sayed

10.8k citations
83 papers · 3.1k · h-index 37

Impact in

Papers in

Najib M. El-Sayed

83 papers receiving 3.0k citations

Peers

Najib M. El-Sayed
Comparison fields: 5 of 117
  • Parasitology 574
  • Epidemiology 1.5k
  • Public Health, Environmental and Occupational Health 1.2k
  • Insect Science 268
  • Infectious Diseases 351
Replace Elisabet Caler with:
Elisabet Caler United States
Jacques Bouvier Switzerland
J E Donelson United States
Nicolás Fasel Switzerland
Ching C. Wang United States
John E. Donelson United States
Vyacheslav Yurchenko Czechia
Rudo Kieft Netherlands
Gloria Rudenko United Kingdom
José Franco da Silveira Brazil
Najib M. El-Sayed relative to Elisabet Caler United States Elisabet Caler's profile →
Citations per field
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Citations per year

Countries citing papers authored by Najib M. El-Sayed

Since Specialization
Citations

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

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Najib M. 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 Najib M. El-Sayed Line = papers co-authored together Najib M. 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 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017169
2 2016126
3 1995108
4 2015101
5 2009100
6 201788
7 200784
8 201682
9 201778
10 200075
11 200274
12 201573
13 201566
14 200665
15 201064
16 201963
17 201163
18 200955
19 201953
20 200351

About Najib M. El-Sayed

Najib M. El-Sayed is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Molecular Biology, Parasitology and Infectious Diseases, having authored 83 papers that have together received 3.1k indexed citations. Recurring topics across this work include Trypanosoma species research and implications (39 papers), Research on Leishmaniasis Studies (30 papers), Parasites and Host Interactions (13 papers), Streptococcal Infections and Treatments (10 papers), Biochemical and Molecular Research (8 papers), Insect symbiosis and bacterial influences (8 papers), Antimicrobial Resistance in Staphylococcus (7 papers) and Plant Virus Research Studies (6 papers). The work is most often cited by research in Parasitology (574 citations), Epidemiology (1.5k citations), Public Health, Environmental and Occupational Health (1.2k citations), Insect Science (268 citations) and Infectious Diseases (351 citations). Najib M. El-Sayed has collaborated with scholars based in United States, Brazil and United Kingdom. Frequent co-authors include Ashton T. Belew, John E. Donelson, David M. Mosser, V. Keith Hughitt, Laura A. L. Dillon, Héctor Corrada Bravo, Daniella Castanheira Bartholomeu, Philip T. LoVerde, Gustavo C. Cerqueira and J E Donelson. Their work appears in journals such as mBio, BMC Genomics, PLoS Pathogens, Molecular and Biochemical Parasitology and PLoS neglected tropical diseases.

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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