Daniel O. Pinto

461 citations
19 papers · 353 · h-index 13

Impact in

Papers in

    • Extracellular vesicles in disease 8
    • Circular RNAs in diseases 3
    • Genomics and Chromatin Dynamics 2
    • T-cell and Retrovirus Studies 4

Daniel O. Pinto

19 papers receiving 352 citations

Peers

Daniel O. Pinto
Comparison fields: 5 of 65
  • Virology 50
  • Immunology 101
  • Cancer Research 52
  • Molecular Biology 228
  • Infectious Diseases 59
Replace Maria Cowen with:
Maria Cowen United States
JoAnn C. Castelli United States
Netty Santoso United States
Vijaya Raghavan India
Sarah Ely Austria
Patricia A. Thibault Canada
Farzana Bhuyan Japan
Elizabeth C. Coronel United States
Camille Martinand France
Daniel O. Pinto relative to Maria Cowen United States Maria Cowen's profile →
Citations per field
00.5×11×
Maria Cowen · 1×
Citations per year

Countries citing papers authored by Daniel O. Pinto

Since Specialization
Citations

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

Fields of papers citing papers by Daniel O. Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel O. Pinto. 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 Daniel O. Pinto. The network helps show where Daniel O. Pinto may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 201852
2 201950
3 201927
4 201326
5 202125
6 201924
7 201619
8 202018
9 202018
10 202015
11 202115
12 202112
13 201912
14 202112
15 20209
16 20206
17 20226
18 20234
19 20193

About Daniel O. Pinto

Daniel O. Pinto is a scholar working on Molecular Biology, Immunology, Infectious Diseases, Virology and Ecology, Evolution, Behavior and Systematics, having authored 19 papers that have together received 353 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (8 papers), T-cell and Retrovirus Studies (4 papers), HIV Research and Treatment (3 papers), Circular RNAs in diseases (3 papers), MicroRNA in disease regulation (2 papers), Cell Adhesion Molecules Research (2 papers), Genomics and Chromatin Dynamics (2 papers) and Vector-Borne Animal Diseases (2 papers). The work is most often cited by research in Virology (50 citations), Immunology (101 citations), Cancer Research (52 citations), Molecular Biology (228 citations) and Infectious Diseases (59 citations). Daniel O. Pinto has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Heather Branscome, Catherine DeMarino, Fatah Kashanchi, Michelle L. Pleet, Maria Cowen, Nazira El‐Hage, Robert A. Barclay, Lance A. Liotta, Renaud Mahieux and James Erickson. Their work appears in journals such as Viruses, Scientific Reports, Retrovirology, Journal of Visualized Experiments and Frontiers in Cellular and Infection Microbiology.

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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