A. M. Fadly
- Epidemiology top 1%
- Animal Science and Zoology top 0.2%
- Genetics top 2%
- Infectious Diseases top 2%
- Immunology top 5%
- Co-authors
- R. W. WinterfieldR. L. WitterL. B. CrittendenK. NazerianW. OkazakiEugene J. SmithJ. Μ. SharmaE. J. Smith
- Topics
- Herpesvirus Infections and Treatments (66 papers)Animal Virus Infections Studies (53 papers)Virus-based gene therapy research (30 papers)
- Journals
- Proceedings of the National Academy of SciencesJNCI Journal of the National Cancer InstituteJournal of Virology
- Partner nations
- United StatesSlovakiaGermany
In The Last Decade
A. M. Fadly
97 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 60
- Epidemiology 1.8k
- Animal Science and Zoology 1.3k
- Genetics 870
- Infectious Diseases 589
- Immunology 563
Countries citing papers authored by A. M. Fadly
This map shows the geographic impact of A. M. Fadly'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 A. M. Fadly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. M. Fadly more than expected).
Fields of papers citing papers by A. M. Fadly
This network shows the impact of papers produced by A. M. Fadly. 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 A. M. Fadly. The network helps show where A. M. Fadly may publish in the future.
Co-authorship network of co-authors of A. M. Fadly
This figure shows the co-authorship network connecting the top 25 collaborators of A. M. Fadly. A scholar is included among the top collaborators of A. M. Fadly 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 A. M. Fadly. A. M. Fadly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | Молекулярно-генетический анализ полевых изолятов вируса лейкоза птиц, циркулирующих на территории Российской Федерации | 1 |
| 3 | 4 | |
| 4 | 18 | |
| 5 | 5 | |
| 6 | 45 | |
| 7 | 13 | |
| 8 | 78 | |
| 9 | 17 | |
| 10 | 11 | |
| 11 | 23 | |
| 12 | 5 | |
| 13 | 11 | |
| 14 | 18 | |
| 15 | 45 | |
| 16 | 34 | |
| 17 | Observations on an enzyme-linked immunosorbent assay for the detection of antibodies against avian leukosis-sarcoma viruses. | 6 |
| 18 | 1 | |
| 19 | 74 | |
| 20 | 22 |
About A. M. Fadly
A. M. Fadly is a scholar working on Animal Science and Zoology, Epidemiology and Infectious Diseases, having authored 98 papers that have together received 2.8k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (66 papers), Animal Virus Infections Studies (53 papers) and Virus-based gene therapy research (30 papers). The work is most often cited by research in Animal Science and Zoology (1.3k citations), Epidemiology (1.8k citations) and Virology (164 citations). A. M. Fadly has collaborated with scholars based in United States, Slovakia and Germany. Frequent co-authors include R. W. Winterfield, R. L. Witter, L. B. Crittenden, K. Nazerian, W. Okazaki, Eugene J. Smith, J. Μ. Sharma, E. J. Smith, L D Bacon and A. A. Bickford. Their work appears in journals such as Proceedings of the National Academy of Sciences, JNCI Journal of the National Cancer Institute and Journal of Virology.
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.