Claudio Prieto

666 citations
41 papers · 544 · h-index 11

Impact in

Papers in

    • Viral Infectious Diseases and Gene Expression in Insects 9
    • CRISPR and Genetic Engineering 4
    • RNA Interference and Gene Delivery 3
    • Protein purification and stability 3
    • Virus-based gene therapy research 12

Claudio Prieto

41 papers receiving 532 citations

Peers

Claudio Prieto
Comparison fields: 5 of 88
  • Virology 78
  • Microbiology 34
  • Agronomy and Crop Science 46
  • Infectious Diseases 73
  • Genetics 113
Replace Soraia Attie Calil Jorge with:
Soraia Attie Calil Jorge Brazil
Karl D. Brune United Kingdom
Andrea Garrett Australia
Na Yang China
Irina Afonina United States
Alex Chao United States
Ayaka Okada Japan
Man Teng China
James L. Smith United States
Xaver Sewald Germany
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Citations per field
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Citations per year

Countries citing papers authored by Claudio Prieto

Since Specialization
Citations

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

Fields of papers citing papers by Claudio Prieto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Claudio Prieto, 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 Claudio Prieto Line = papers co-authored together Claudio Prieto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005103
2 200478
3 201544
4 201440
5 201628
6 202120
7 201118
8 201218
9 201317
10 200514
11 202114
12 202310
13 201910
14 202110
15 202010
16 20209
17 20228
18 20178
19 20187
20 20167

About Claudio Prieto

Claudio Prieto is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Virology and Epidemiology, having authored 41 papers that have together received 544 indexed citations. Recurring topics across this work include Virus-based gene therapy research (12 papers), Rabies epidemiology and control (11 papers), Viral Infectious Diseases and Gene Expression in Insects (9 papers), Viral Infections and Outbreaks Research (6 papers), CRISPR and Genetic Engineering (4 papers), RNA Interference and Gene Delivery (3 papers), Protein purification and stability (3 papers) and Reproductive Physiology in Livestock (3 papers). The work is most often cited by research in Virology (78 citations), Microbiology (34 citations), Agronomy and Crop Science (46 citations), Infectious Diseases (73 citations) and Genetics (113 citations). Claudio Prieto has collaborated with scholars based in Argentina, United States and Uruguay. Frequent co-authors include Ricardo Kratje, Marina Etcheverrigaray, Nicolás P. Koritschoner, José Luís Bocco, Osvaldo Yantorno, Jürgen Schmitt, Diego O. Serra, Alejandra Bosch, D. Naumann and Fernando J. López-Díaz. Their work appears in journals such as Applied Microbiology and Biotechnology, Vaccine, Theriogenology, Protein Expression and Purification and Analytical Biochemistry.

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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