Amr El-Sayed

2.2k citations
45 papers · 1.5k · h-index 21

Impact in

Papers in

Amr El-Sayed

44 papers receiving 1.5k citations

Peers

Amr El-Sayed
Comparison fields: 5 of 134
  • Agronomy and Crop Science 271
  • Infectious Diseases 401
  • Microbiology 123
  • Endocrinology 101
  • Small Animals 120
Replace Ugo Pagnini with:
Ugo Pagnini Italy
Preben Boysen Norway
Kazuaki Takehara Japan
Robert W. Wills United States
Manuel Chirino‐Trejo Canada
Mónica V. Cunha Portugal
Sukumar Saha Bangladesh
Robert J. Callan United States
Abbas Doosti Iran
Bibek Ranjan Shome India
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Citations per field
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Citations per year

Countries citing papers authored by Amr El-Sayed

Since Specialization
Citations

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

Fields of papers citing papers by Amr El-Sayed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Amr 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 Amr El-Sayed Line = papers co-authored together Amr 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 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020284
2 2019112
3 2021107
4 202199
5 201897
6 201875
7 200468
8 200659
9 201956
10 201550
11 202148
12 201744
13 201240
14 202037
15 202134
16 201927
17 202125
18 200424
19 201924
20 200723

About Amr El-Sayed

Amr El-Sayed is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Agronomy and Crop Science and Food Science, having authored 45 papers that have together received 1.5k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (9 papers), Milk Quality and Mastitis in Dairy Cows (7 papers), Probiotics and Fermented Foods (6 papers), Ginseng Biological Effects and Applications (5 papers), Gut microbiota and health (4 papers), Microbial infections and disease research (4 papers), Bacteriophages and microbial interactions (4 papers) and Viral gastroenteritis research and epidemiology (3 papers). The work is most often cited by research in Agronomy and Crop Science (271 citations), Infectious Diseases (401 citations), Microbiology (123 citations), Endocrinology (101 citations) and Small Animals (120 citations). Amr El-Sayed has collaborated with scholars based in Egypt, Germany and Mexico. Frequent co-authors include Mohamed Kamel, Lotfi Aleya, M. Zschöck, C. Lämmler, Abdulwahed Ahmed Hassan, Julia M. Alber, Samia A. Ahmed, Cristina Bogni, Elina Reinoso and Mohamed A. Salem. Their work appears in journals such as Environmental Science and Pollution Research, International Journal of Veterinary Science and Medicine, Tropical Animal Health and Production, Virus Research and Frontiers in Public Health.

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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