Ekramy E. Sayedahmed

528 citations
21 papers · 368 · h-index 12

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • Viral gastroenteritis research and epidemiology
    • Influenza Virus Research Studies
    • Respiratory viral infections research

Papers in

    • Viral gastroenteritis research and epidemiology 11
    • SARS-CoV-2 and COVID-19 Research 2
    • Virus-based gene therapy research 12

Ekramy E. Sayedahmed

19 papers receiving 358 citations

Peers

Ekramy E. Sayedahmed
Comparison fields: 5 of 55
  • Infectious Diseases 159
  • Epidemiology 172
  • Genetics 110
  • Immunology 79
  • Animal Science and Zoology 34
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Citations per field
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Citations per year

Countries citing papers authored by Ekramy E. Sayedahmed

Since Specialization
Citations

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

Fields of papers citing papers by Ekramy E. Sayedahmed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ekramy E. Sayedahmed. 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 Ekramy E. Sayedahmed. The network helps show where Ekramy E. Sayedahmed may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202257
2 202050
3 201747
4 202135
5 201927
6 202227
7 202125
8 201823
9 201718
10 201815
11 202114
12 202412
13 20255
14 20233
15 20233
16
A potential approach for assessing the quality of human and nonhuman adenoviral vector preparations.
20203
17 20252
18 20251
19 20221
20 20250

About Ekramy E. Sayedahmed

Ekramy E. Sayedahmed is a scholar working on Infectious Diseases, Genetics, Epidemiology, Molecular Biology and Animal Science and Zoology, having authored 21 papers that have together received 368 indexed citations. Recurring topics across this work include Virus-based gene therapy research (12 papers), Viral gastroenteritis research and epidemiology (11 papers), Influenza Virus Research Studies (7 papers), Respiratory viral infections research (5 papers), Animal Virus Infections Studies (4 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), vaccines and immunoinformatics approaches (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Infectious Diseases (159 citations), Epidemiology (172 citations), Genetics (110 citations), Immunology (79 citations) and Animal Science and Zoology (34 citations). Ekramy E. Sayedahmed has collaborated with scholars based in United States and Egypt. Frequent co-authors include Suresh K. Mittal, Suryaprakash Sambhara, Sai Vikram Vemula, Rashmi Kumari, Ian A. York, Shivaprakash Gangappa, Ahmed O. Hassan, Rashmi Kumari, Chinnaswamy Jagannath and Vipul K. Singh. Their work appears in journals such as Vaccines, Viruses, npj Vaccines, Clinical & Translational Immunology and Frontiers in Oncology.

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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