M. Arella

968 citations
32 papers · 816 · h-index 17

Impact in

Papers in

M. Arella

32 papers receiving 788 citations

Peers

M. Arella
Comparison fields: 5 of 63
  • Animal Science and Zoology 260
  • Otorhinolaryngology 90
  • Virology 86
  • Infectious Diseases 254
  • Microbiology 76
Replace Frances J. Palmer‐Hill with:
Frances J. Palmer‐Hill United States
Enikő Fehér Hungary
J. Moreno‐López Sweden
Inga I. Hitzeroth South Africa
P Mavromara-Nazos United States
H. Gelderblom Germany
Alistair H. Kidd Sweden
Hironobu Tatsuo Japan
Caroline N. Mislin Switzerland
Małgorzata Gieryńska Poland
M. Arella relative to Frances J. Palmer‐Hill United States Frances J. Palmer‐Hill's profile →
Citations per field
00.5×4.7×
Frances J. Palmer‐Hill · 1×
Citations per year

Countries citing papers authored by M. Arella

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with M. Arella Line = papers co-authored together M. Arella links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199179
2 199973
3 199570
4 199258
5
Diagnosis of vertical HIV-1 transmission using the polymerase chain reaction and dried blood spot specimens.
199250
6 199547
7 198846
8 199944
9 201036
10 199336
11 199531
12 199629
13 200727
14 199326
15 199623
16 199621
17 199721
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.
199516
19 199712
20
[Replication of type 6 ridovirus in various cell lines].
198112

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 816 indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (12 papers), Animal Virus Infections Studies (12 papers), Virus-based gene therapy research (8 papers), Plant Virus Research Studies (6 papers), Microbial infections and disease research (5 papers), Virology and Viral Diseases (4 papers), Insect Resistance and Genetics (4 papers) and Viral gastroenteritis research and epidemiology (4 papers). The work is most often cited by research in Animal Science and Zoology (260 citations), Otorhinolaryngology (90 citations), Virology (86 citations), Infectious Diseases (254 citations) and Microbiology (76 citations). M. Arella has collaborated with scholars based in Canada, France and China. Frequent co-authors include Jean Bergeron, Jacqueline Lecomte, Laurent Berthiaume, Esther Tarrab, Joël Heppell, A. Silim, Masoud Reza Seyfi Abad Shapouri, Eduardo L. Franco, Javier Pintos and Martin J. Black. Their work appears in journals such as Journal of General Virology, Archives of Virology, Avian Pathology, Virology 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.

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