Alicia Sato

1.9k total citations
19 papers, 766 citations indexed

About

Alicia Sato is a scholar working on Virology, Molecular Biology and Immunology. According to data from OpenAlex, Alicia Sato has authored 19 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Virology, 7 papers in Molecular Biology and 4 papers in Immunology. Recurrent topics in Alicia Sato's work include HIV Research and Treatment (7 papers), vaccines and immunoinformatics approaches (4 papers) and Immune Cell Function and Interaction (3 papers). Alicia Sato is often cited by papers focused on HIV Research and Treatment (7 papers), vaccines and immunoinformatics approaches (4 papers) and Immune Cell Function and Interaction (3 papers). Alicia Sato collaborates with scholars based in United States, South Africa and Germany. Alicia Sato's co-authors include Nicole Urban, Garnet L. Anderson, Charles W. Drescher, Kathy O'Briant, Nancy B. Kiviat, Nathalie Scholler, M. Juliana McElrath, Marnie Elizaga, Stephen C. De Rosa and Sharon E. Frey and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and JNCI Journal of the National Cancer Institute.

In The Last Decade

Alicia Sato

19 papers receiving 741 citations

Peers

Alicia Sato
Comparison fields: 5 of 95
  • Molecular Biology 238
  • Virology 231
  • Immunology 223
  • Epidemiology 153
  • Infectious Diseases 147
Replace Jeanette C. Reece with:
Jeanette C. Reece Australia
Juana Gil Spain
Anne-Pascale Satié France
Arevik Mosoian United States
David Anderson United States
Joan Joseph Spain
Jose Rivera United States
Gustavo Gonzalez-Canali France
Eric G. Meissner United States
Hideji Hanabusa Japan
Jeanette C. Reece Australia View profile →
Citations per field, relative to Alicia Sato
Alicia Sato · 1×
Citations per year, relative to Alicia Sato
Alicia Sato · 1×

Countries citing papers authored by Alicia Sato

Since Specialization
Citations

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

Fields of papers citing papers by Alicia Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alicia Sato

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 6
2 22
3 23
4 46
5 19
6 5
7 12
8 120
9 120
10 60
11 41
12 1
13 38
14 12
15 78
16 17
17 131
18 7
19
STUDIES ON AN INFECTIOUS DISEASE OF RAINBOW-TROUT.
8

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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