Samir Refaey

615 citations
21 papers · 312 · h-index 11

Impact in

Papers in

    • Influenza Virus Research Studies 11
    • Respiratory viral infections research 5
    • Viral gastroenteritis research and epidemiology 3
    • Viral Infections and Vectors 2

Samir Refaey

20 papers receiving 309 citations

Peers

Samir Refaey
Comparison fields: 5 of 49
  • Agronomy and Crop Science 76
  • Epidemiology 200
  • Infectious Diseases 97
  • Modeling and Simulation 19
  • Hepatology 17
Replace Elvieda Sariwati with:
Elvieda Sariwati Indonesia
Gudrun Freidl Netherlands
Ruchun Liu China
Jen-Shiou Lin Taiwan
Ziping Miao China
Yan-Hua Qian China
Jiehao Cai China
Long T. Hoang Vietnam
Prabda Prapasiri Thailand
Elena Samoilovich Belarus
Samir Refaey relative to Elvieda Sariwati Indonesia Elvieda Sariwati's profile →
Citations per field
00.5×2.8×
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Citations per year

Countries citing papers authored by Samir Refaey

Since Specialization
Citations

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

Fields of papers citing papers by Samir Refaey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samir Refaey. 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 Samir Refaey. The network helps show where Samir Refaey may publish in the future.

Co-authors

The 25 scholars most cited alongside Samir Refaey, 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 Samir Refaey Line = papers co-authored together Samir Refaey 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 201682
2 201636
3 201334
4 201523
5 202020
6 201219
7 201616
8 201914
9 201912
10 201611
11 201610
12 20129
13 20167
14 20176
15 20166
16 20223
17 20241
18 20181
19 20181
20 20171

About Samir Refaey

Samir Refaey is a scholar working on Epidemiology, Infectious Diseases, Agronomy and Crop Science, Public Health, Environmental and Occupational Health and Modeling and Simulation, having authored 21 papers that have together received 312 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (11 papers), Respiratory viral infections research (5 papers), Animal Disease Management and Epidemiology (5 papers), Viral gastroenteritis research and epidemiology (3 papers), COVID-19 epidemiological studies (2 papers), Viral Infections and Vectors (2 papers), Dental Research and COVID-19 (1 paper) and Zoonotic diseases and public health (1 paper). The work is most often cited by research in Agronomy and Crop Science (76 citations), Epidemiology (200 citations), Infectious Diseases (97 citations), Modeling and Simulation (19 citations) and Hepatology (17 citations). Samir Refaey has collaborated with scholars based in Egypt, United States and Uganda. Frequent co-authors include Amr Kandeel, Ghazi Kayali, Richard J. Webby, Mohamed A. Ali, Ahmed Kandeil, Pamela McKenzie, Adel Mansour, Rabeh El‐Shesheny, Asmaa M. Maatouq and Timothy M. Uyeki. Their work appears in journals such as Emerging infectious diseases, Influenza and Other Respiratory Viruses, Journal of Infection and Public Health, Journal of the Egyptian Public Health Association and One 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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