Alicia Sciocco‐Cap

579 total citations
29 papers, 390 citations indexed

About

Alicia Sciocco‐Cap is a scholar working on Molecular Biology, Insect Science and Plant Science. According to data from OpenAlex, Alicia Sciocco‐Cap has authored 29 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 18 papers in Insect Science and 7 papers in Plant Science. Recurrent topics in Alicia Sciocco‐Cap's work include Viral Infectious Diseases and Gene Expression in Insects (24 papers), Insect Resistance and Genetics (22 papers) and Entomopathogenic Microorganisms in Pest Control (13 papers). Alicia Sciocco‐Cap is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (24 papers), Insect Resistance and Genetics (22 papers) and Entomopathogenic Microorganisms in Pest Control (13 papers). Alicia Sciocco‐Cap collaborates with scholars based in Argentina, France and United States. Alicia Sciocco‐Cap's co-authors include Vı́ctor Romanowski, Santiago Haase, Marcelo F. Berretta, Pablo Daniel Ghiringhelli, Ricardo Salvador, Joel D. Arneodo, Alina V. Goldberg, Marina E. Biedma, Brian A. Federici and Mario E. Lozano and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and BMC Genomics.

In The Last Decade

Alicia Sciocco‐Cap

29 papers receiving 381 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alicia Sciocco‐Cap Argentina 10 358 277 106 24 12 29 390
Hilary A. M. Lauzon Canada 10 380 1.1× 285 1.0× 52 0.5× 17 0.7× 15 1.3× 13 396
Carlos Espinel Colombia 10 194 0.5× 210 0.8× 122 1.2× 26 1.1× 10 0.8× 35 278
Albert L. Lu United States 8 264 0.7× 174 0.6× 109 1.0× 20 0.8× 10 0.8× 10 302
Junlei Zhou China 6 292 0.8× 204 0.7× 122 1.2× 18 0.8× 4 0.3× 11 327
Karolin E. Eberle Germany 6 301 0.8× 270 1.0× 95 0.9× 23 1.0× 9 0.8× 7 358
Ruchir Mishra United States 7 291 0.8× 261 0.9× 109 1.0× 17 0.7× 10 0.8× 19 322
Núria Banyuls Spain 9 499 1.4× 486 1.8× 185 1.7× 17 0.7× 19 1.6× 9 577
V. Balasubramani India 10 204 0.6× 191 0.7× 150 1.4× 15 0.6× 7 0.6× 75 283
Anilkumar Gowda United States 7 375 1.0× 285 1.0× 150 1.4× 17 0.7× 12 1.0× 8 404
Narendra Palekar United States 6 541 1.5× 451 1.6× 175 1.7× 21 0.9× 17 1.4× 6 557

Countries citing papers authored by Alicia Sciocco‐Cap

Since Specialization
Citations

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

Fields of papers citing papers by Alicia Sciocco‐Cap

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alicia Sciocco‐Cap. 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 Alicia Sciocco‐Cap. The network helps show where Alicia Sciocco‐Cap may publish in the future.

Co-authorship network of co-authors of Alicia Sciocco‐Cap

This figure shows the co-authorship network connecting the top 25 collaborators of Alicia Sciocco‐Cap. A scholar is included among the top collaborators of Alicia Sciocco‐Cap 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 Alicia Sciocco‐Cap. Alicia Sciocco‐Cap is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Salvador, Ricardo, et al.. (2020). Genetic variants in Argentinean isolates of Spodoptera frugiperda Multiple Nucleopolyhedrovirus. Virus Genes. 56(3). 401–405. 10 indexed citations
2.
Sciocco‐Cap, Alicia, et al.. (2019). Biological and molecular characterization of Rachiplusia nu single nucleopolyhedrovirus, a promising biocontrol agent against the South American soybean pest Rachiplusia nu. Journal of Invertebrate Pathology. 166. 107211–107211. 9 indexed citations
3.
4.
Arneodo, Joel D. & Alicia Sciocco‐Cap. (2018). Biological and molecular features of Nosema rachiplusiae sp. n., a microsporidium isolated from the neotropical moth Rachiplusia nu (Guenée) (Lepidoptera: Noctuidae). Parasitology Research. 117(5). 1325–1331. 2 indexed citations
5.
Arneodo, Joel D., et al.. (2016). Light microscopy of microsporidian spores and baculovirus occlusion bodies in Epinotia aporema and Helicoverpa gelotopoeon larval tissues, respectively. Revista Argentina de Microbiología. 48(4). 358–359. 1 indexed citations
6.
7.
Salvador, Ricardo, et al.. (2013). Analysis of a chitinase from EpapGV, a fast killing betabaculovirus. Virus Genes. 48(2). 406–409. 7 indexed citations
8.
Salvador, Ricardo, Marina E. Biedma, Marcelo F. Berretta, et al.. (2012). Genome of Epinotia aporema granulovirus (EpapGV), a polyorganotropic fast killing betabaculovirus with a novel thymidylate kinase gene. BMC Genomics. 13(1). 548–548. 30 indexed citations
9.
Arneodo, Joel D., G König, Marcelo F. Berretta, et al.. (2012). Detection and kinetic analysis of Epinotia aporema granulovirus in its lepidopteran host by real-time PCR. Archives of Virology. 157(6). 1149–1153. 7 indexed citations
10.
Salvador, Ricardo, Marcelo F. Berretta, Wataru Mitsuhashi, et al.. (2012). Analysis of EpapGV gp37 gene reveals a close relationship between granulovirus and entomopoxvirus. Virus Genes. 45(3). 610–613. 8 indexed citations
11.
Berretta, Marcelo F., María Gabriela López, Oscar Taboga, Alicia Sciocco‐Cap, & Vı́ctor Romanowski. (2012). Functional analysis of Spodoptera frugiperda nucleopolyhedrovirus late expression factors in Sf9 cells. Virus Genes. 46(1). 152–161. 2 indexed citations
12.
Rodríguez, Vanina, et al.. (2010). Identification of nucleopolyhedrovirus that infect Nymphalid butterflies Agraulis vanillae and Dione juno. Journal of Invertebrate Pathology. 106(2). 255–262. 3 indexed citations
13.
Biedma, Marina E., et al.. (2008). Multiplex PCR and quality control of Epinotia aporema granulovirus production. Virus Genes. 37(2). 203–211. 5 indexed citations
14.
Belaich, Mariano Nicolás, et al.. (2006). Sequencing and Characterisation of p74 Gene in Two Isolates of Anticarsia Gemmatalis MNPV. Virus Genes. 32(1). 59–70. 6 indexed citations
15.
Lozano, Mario E., et al.. (2002). Identification and Characterization of the Ecdysteroid UDP-Glycosyltransferase Gene of Epinotia aporema Granulovirus. Virus Genes. 24(2). 119–130. 5 indexed citations
16.
Goldberg, Alina V., Vı́ctor Romanowski, Brian A. Federici, & Alicia Sciocco‐Cap. (2002). Effects of the Epap granulovirus on its host, Epinotia aporema (Lepidoptera: Tortricidae). Journal of Invertebrate Pathology. 80(3). 148–159. 16 indexed citations
17.
Lozano, Mario E., et al.. (2002). Physical and Genetic Map of Epinotia aporema Granulovirus Genome. Virus Genes. 25(3). 329–341. 9 indexed citations
18.
Claus, Juan Daniel & Alicia Sciocco‐Cap. (2001). Producción masiva de baculovirus. Dialnet (Universidad de la Rioja). 257–312. 2 indexed citations
19.
Sciocco‐Cap, Alicia, et al.. (2001). Characterization of a Granulovirus Isolated from Epinotia aporema Wals. (Lepidoptera: Tortricidae) Larvae. Applied and Environmental Microbiology. 67(8). 3702–3706. 27 indexed citations
20.
Berretta, Marcelo F., et al.. (1998). Characterization of a Nuclear Polyhedrosis Virus ofSpodoptera frugiperdafrom Argentina. Journal of Invertebrate Pathology. 71(3). 280–282. 24 indexed citations

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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