M. Arella
Impact in
- Animal Science and Zoology top 2%
- Animal Virus Infections Studies
- Otorhinolaryngology top 5%
- Head and Neck Cancer Studies
Papers in
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- Viral Infectious Diseases and Gene Expression in Insects 12
- Insect Resistance and Genetics 4
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- Animal Virus Infections Studies 12
- Co-authors
- Jean Bergeron (5 shared papers)Jacqueline Lecomte (6 shared papers)Laurent Berthiaume (6 shared papers)Joël Heppell (5 shared papers)Esther Tarrab (5 shared papers)Masoud Reza Seyfi Abad Shapouri (4 shared papers)A. Silim (4 shared papers)Eduardo L. Franco (3 shared papers)
In The Last Decade
M. Arella
32 papers receiving 785 citations
Peers
Comparison fields: 5 of 67
- Animal Science and Zoology 267
- Otorhinolaryngology 96
- Virology 103
- Infectious Diseases 277
- Microbiology 77
Countries citing papers authored by M. Arella
This map shows the geographic impact of M. Arella'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 M. Arella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Arella more than expected).
Fields of papers citing papers by M. Arella
This network shows the impact of papers produced by M. Arella. 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 M. Arella. The network helps show where M. Arella may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Arella, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 80 | |
| 2 | 1999 | 73 | |
| 3 | 1995 | 70 | |
| 4 | 1992 | 58 | |
| 5 | Diagnosis of vertical HIV-1 transmission using the polymerase chain reaction and dried blood spot specimens. | 1992 | 50 |
| 6 | 1995 | 47 | |
| 7 | 1988 | 46 | |
| 8 | 1999 | 44 | |
| 9 | 1993 | 36 | |
| 10 | 2010 | 34 | |
| 11 | 1995 | 31 | |
| 12 | 1996 | 29 | |
| 13 | 2007 | 27 | |
| 14 | 1993 | 26 | |
| 15 | 1996 | 23 | |
| 16 | 1997 | 21 | |
| 17 | 1996 | 21 | |
| 18 | HIV-1 gp120/160 expressing cells upregulate HIV-1 LTR directed gene expression in a cell line transfected with HIV-1 LTR-reporter gene constructs. | 1995 | 16 |
| 19 | 1997 | 12 | |
| 20 | [Replication of type 6 ridovirus in various cell lines]. | 1981 | 12 |
About M. Arella
M. Arella is a scholar working on Molecular Biology, Animal Science and Zoology, Genetics, Infectious Diseases and Epidemiology, having authored 32 papers that have together received 814 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (12 papers), Viral Infectious Diseases and Gene Expression in Insects (12 papers), Virus-based gene therapy research (8 papers), Plant Virus Research Studies (6 papers), Microbial infections and disease research (5 papers), Viral gastroenteritis research and epidemiology (4 papers), Virology and Viral Diseases (4 papers) and Insect Resistance and Genetics (4 papers). The work is most often cited by research in Animal Science and Zoology (267 citations), Otorhinolaryngology (96 citations), Virology (103 citations), Infectious Diseases (277 citations) and Microbiology (77 citations). M. Arella has collaborated with scholars based in Canada, France and China. Frequent co-authors include Jean Bergeron, Jacqueline Lecomte, Laurent Berthiaume, Joël Heppell, Esther Tarrab, Masoud Reza Seyfi Abad Shapouri, A. Silim, Eduardo L. Franco, Martin J. Black and Javier Pintos. Their work appears in journals such as Journal of General Virology, Archives of Virology, Cancer, Avian Pathology and 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.