Daniela C. Mónaco

500 citations
17 papers · 384 · h-index 9

Impact in

  • Virology top 2%
    • HIV Research and Treatment
    • HIV/AIDS Research and Interventions
    • HIV/AIDS drug development and treatment

Papers in

    • HIV Research and Treatment 9
    • T-cell and B-cell Immunology 3
    • Immune Cell Function and Interaction 2

Daniela C. Mónaco

17 papers receiving 379 citations

Peers

Daniela C. Mónaco
Comparison fields: 5 of 50
  • Virology 242
  • Infectious Diseases 152
  • Immunology 93
  • Epidemiology 62
  • Hepatology 12
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Daniela C. Mónaco relative to Dario Alberto Dilernia United States Dario Alberto Dilernia's profile →
Citations per field
00.5×2×2.7×
Dario Alberto Dilernia · 1×
Citations per year

Countries citing papers authored by Daniela C. Mónaco

Since Specialization
Citations

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

Fields of papers citing papers by Daniela C. Mónaco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela C. Mónaco. 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 Daniela C. Mónaco. The network helps show where Daniela C. Mónaco may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2014206
2 201540
3 201625
4 202325
5 202113
6 200912
7 201811
8 201310
9 202110
10 20209
11 20178
12
Pharmacogenomics and Pharmacogenetics: In Silico Prediction of Drug Effects in Treatments for Novel Coronavirus SARS-CoV2 Disease
20206
13 20113
14 20243
15 20141
16 20181
17 20221

About Daniela C. Mónaco

Daniela C. Mónaco is a scholar working on Virology, Immunology, Infectious Diseases, Epidemiology and Hepatology, having authored 17 papers that have together received 384 indexed citations. Recurring topics across this work include HIV Research and Treatment (9 papers), T-cell and B-cell Immunology (3 papers), HIV/AIDS Research and Interventions (2 papers), vaccines and immunoinformatics approaches (2 papers), HIV/AIDS drug development and treatment (2 papers), Immune Cell Function and Interaction (2 papers), Genomics and Phylogenetic Studies (1 paper) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Virology (242 citations), Infectious Diseases (152 citations), Immunology (93 citations), Epidemiology (62 citations) and Hepatology (12 citations). Daniela C. Mónaco has collaborated with scholars based in United States, Argentina and Italy. Frequent co-authors include Eric Hunter, Dario Alberto Dilernia, Zachary S. Ende, Susan A Allen, Martin J. Deymier, Michael Brown, Ellen E. Paxinos, Alfredo Tirado‐Ramos, Horacio Salomón and Ling Yue. Their work appears in journals such as PLoS ONE, Stroke, AIDS Research and Human Retroviruses, Journal of Virology and Science.

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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