Ekramy E. Sayedahmed

503 total citations
19 papers, 333 citations indexed

About

Ekramy E. Sayedahmed is a scholar working on Infectious Diseases, Genetics and Epidemiology. According to data from OpenAlex, Ekramy E. Sayedahmed has authored 19 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Infectious Diseases, 11 papers in Genetics and 10 papers in Epidemiology. Recurrent topics in Ekramy E. Sayedahmed's work include Virus-based gene therapy research (11 papers), Viral gastroenteritis research and epidemiology (10 papers) and Influenza Virus Research Studies (6 papers). Ekramy E. Sayedahmed is often cited by papers focused on Virus-based gene therapy research (11 papers), Viral gastroenteritis research and epidemiology (10 papers) and Influenza Virus Research Studies (6 papers). Ekramy E. Sayedahmed collaborates with scholars based in United States and Egypt. Ekramy E. Sayedahmed's co-authors include Suresh K. Mittal, Suryaprakash Sambhara, Sai Vikram Vemula, Rashmi Kumari, Ahmed O. Hassan, Shivaprakash Gangappa, Ian A. York, Chinnaswamy Jagannath, Abhishek Mishra and Min Chen and has published in prestigious journals such as PLoS ONE, Frontiers in Immunology and Vaccine.

In The Last Decade

Ekramy E. Sayedahmed

19 papers receiving 325 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ekramy E. Sayedahmed United States 11 170 159 106 87 84 19 333
Lisa Walz Germany 6 118 0.7× 164 1.0× 48 0.5× 160 1.8× 100 1.2× 10 362
William E. Matchett United States 12 115 0.7× 261 1.6× 91 0.9× 140 1.6× 126 1.5× 17 440
Brajesh K. Singh United States 10 145 0.9× 140 0.9× 74 0.7× 104 1.2× 59 0.7× 14 338
Hari Pujar United States 4 203 1.2× 173 1.1× 47 0.4× 210 2.4× 101 1.2× 7 474
Michelle Ainouze France 10 252 1.5× 86 0.5× 51 0.5× 61 0.7× 99 1.2× 11 348
Richard Antrobus United Kingdom 7 356 2.1× 251 1.6× 66 0.6× 139 1.6× 288 3.4× 11 575
Dengyun Sun United States 11 210 1.2× 143 0.9× 87 0.8× 87 1.0× 118 1.4× 14 377
Fiona T. van den Berg South Africa 5 80 0.5× 152 1.0× 79 0.7× 275 3.2× 98 1.2× 6 421
Brenda Larkin United States 8 199 1.2× 262 1.6× 53 0.5× 162 1.9× 173 2.1× 9 521
Emma Bentley United Kingdom 12 84 0.5× 284 1.8× 76 0.7× 113 1.3× 30 0.4× 24 451

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-authorship network of co-authors of Ekramy E. Sayedahmed

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

All Works

19 of 19 papers shown
1.
2.
Sayedahmed, Ekramy E., Shubhada K. Chothe, Nobuko Wakamatsu, et al.. (2025). A multi-antigen-based SARS-CoV-2 vaccine provides higher immune responses and protection against SARS-CoV-2 variants. npj Vaccines. 10(1). 159–159. 1 indexed citations
3.
Sayedahmed, Ekramy E., et al.. (2025). Next-Generation Adenoviral Vector-Based Vaccines for Severe Acute Respiratory Syndrome Coronavirus-2. Vaccines. 13(4). 406–406. 2 indexed citations
4.
Sayedahmed, Ekramy E., et al.. (2024). Development of NP-Based Universal Vaccine for Influenza A Viruses. Vaccines. 12(2). 157–157. 9 indexed citations
5.
Sayedahmed, Ekramy E., et al.. (2023). Enhancement of mucosal innate and adaptive immunity following intranasal immunization of mice with a bovine adenoviral vector. Frontiers in Immunology. 14. 1305937–1305937. 1 indexed citations
6.
Gribskov, Michael, et al.. (2023). miRNome expression analysis in canine diffuse large B-cell lymphoma. Frontiers in Oncology. 13. 1238613–1238613. 3 indexed citations
7.
Sayedahmed, Ekramy E., et al.. (2022). Nested PCR Detection of Pythium sp. from Formalin-Fixed, Paraffin-Embedded Canine Tissue Sections. Veterinary Sciences. 9(8). 444–444. 1 indexed citations
8.
Sayedahmed, Ekramy E., et al.. (2022). Significance of Preexisting Vector Immunity and Activation of Innate Responses for Adenoviral Vector-Based Therapy. Viruses. 14(12). 2727–2727. 21 indexed citations
9.
Sayedahmed, Ekramy E., et al.. (2022). Progress towards the Development of a Universal Influenza Vaccine. Viruses. 14(8). 1684–1684. 53 indexed citations
10.
Khan, Arshad, Ekramy E. Sayedahmed, Vipul K. Singh, et al.. (2021). A recombinant bovine adenoviral mucosal vaccine expressing mycobacterial antigen-85B generates robust protection against tuberculosis in mice. Cell Reports Medicine. 2(8). 100372–100372. 31 indexed citations
11.
Sayedahmed, Ekramy E., et al.. (2021). Nonhuman Adenoviral Vector-Based Platforms and Their Utility in Designing Next Generation of Vaccines for Infectious Diseases. Viruses. 13(8). 1493–1493. 13 indexed citations
12.
Sayedahmed, Ekramy E., et al.. (2021). Adenoviral vector‐based platforms for developing effective vaccines to combat respiratory viral infections. Clinical & Translational Immunology. 10(10). e1345–e1345. 21 indexed citations
13.
Sayedahmed, Ekramy E. & Suresh K. Mittal. (2020). A potential approach for assessing the quality of human and nonhuman adenoviral vector preparations.. PubMed. 84(4). 314–318. 3 indexed citations
14.
Sayedahmed, Ekramy E., et al.. (2020). Adenoviral Vector-Based Vaccine Platforms for Developing the Next Generation of Influenza Vaccines. Vaccines. 8(4). 574–574. 48 indexed citations
15.
Sayedahmed, Ekramy E., Rashmi Kumari, & Suresh K. Mittal. (2019). Current Use of Adenovirus Vectors and Their Production Methods. Methods in molecular biology. 1937. 155–175. 26 indexed citations
16.
Sayedahmed, Ekramy E., Ahmed O. Hassan, Weiping Cao, et al.. (2018). A Bovine Adenoviral Vector-Based H5N1 Influenza -Vaccine Provides Enhanced Immunogenicity and Protection at a Significantly Low Dose. Molecular Therapy — Methods & Clinical Development. 10. 210–222. 21 indexed citations
17.
Sayedahmed, Ekramy E., Shruti Shukla, Ahmed O. Hassan, et al.. (2018). Longevity of adenovirus vector immunity in mice and its implications for vaccine efficacy. Vaccine. 36(45). 6744–6751. 15 indexed citations
18.
Hassan, Ahmed O., Ekramy E. Sayedahmed, Sai Vikram Vemula, et al.. (2017). Adenovirus vector-based multi-epitope vaccine provides partial protection against H5, H7, and H9 avian influenza viruses. PLoS ONE. 12(10). e0186244–e0186244. 16 indexed citations
19.
Vemula, Sai Vikram, Ekramy E. Sayedahmed, Suryaprakash Sambhara, & Suresh K. Mittal. (2017). Vaccine approaches conferring cross-protection against influenza viruses. Expert Review of Vaccines. 16(11). 1141–1154. 46 indexed citations

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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