Faez Awad

21 papers receiving 389 citations

Peers

Faez Awad
Comparison fields: 5 of 49
  • Animal Science and Zoology 248
  • Parasitology 89
  • Infectious Diseases 232
  • Microbiology 37
  • Epidemiology 116
Replace Alessandra Mondin with:
Alessandra Mondin Italy
C. Madhan Mohan India
C. L. Kanitz United States
Csaba Nemes Hungary
Congli Yuan China
C. E. Whitfill United States
Karin Ullman Sweden
Vilim Starešina Croatia
T. S. Sandhu United States
T. M. Grimes Australia
Faez Awad relative to Alessandra Mondin Italy Alessandra Mondin's profile →
Citations per field
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Citations per year

Countries citing papers authored by Faez Awad

Since Specialization
Citations

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

Fields of papers citing papers by Faez Awad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Faez Awad, 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 Faez Awad Line = papers co-authored together Faez Awad 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 201545
2 201644
3 201441
4 201439
5 195435
6 195533
7 195428
8 201427
9 201526
10 201420
11 195415
12 195413
13 201613
14
Isolation and identification of African horsesickness virus from naturally infected dogs in Upper Egypt.
198111
15 20219
16 20167
17
Detection of multiple poultry respiratory pathogens from FTA® card.
20125
18
Serologic investigation of pseudotuberculosis in sheep. I. Agglutination test.
19604
19
Pre-Erythrocytic Stages of Human Malaria: Plasmodium ovale. A Preliminary Note.
19544
20 19733

About Faez Awad

Faez Awad is a scholar working on Animal Science and Zoology, Infectious Diseases, Epidemiology, Parasitology and Plant Science, having authored 21 papers that have together received 424 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (9 papers), Viral gastroenteritis research and epidemiology (8 papers), Toxoplasma gondii Research Studies (5 papers), Herpesvirus Infections and Treatments (3 papers), Parasitic Infections and Diagnostics (3 papers), Microbial infections and disease research (2 papers), Cytomegalovirus and herpesvirus research (2 papers) and Malaria Research and Control (2 papers). The work is most often cited by research in Animal Science and Zoology (248 citations), Parasitology (89 citations), Infectious Diseases (232 citations), Microbiology (37 citations) and Epidemiology (116 citations). Faez Awad has collaborated with scholars based in United Kingdom, Libya and France. Frequent co-authors include Kannan Ganapathy, Matthew Baylis, R. Lainson, Rajesh Chhabra, Stéphane Lemière, Richard C. Jones, P. C. C. Garnhám, J. Williamson, W. CLARK COOPER and Julian Chantrey. Their work appears in journals such as Avian Pathology, Research in Veterinary Science, The Lancet, Transactions of the Royal Society of Tropical Medicine and Hygiene and Journal of Clinical Pathology.

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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