Daniel O. Pinto

475 citations
19 papers · 361 · h-index 13

Impact in

Papers in

    • Extracellular vesicles in disease 7
    • Circular RNAs in diseases 2
    • Genomics and Chromatin Dynamics 2
    • T-cell and Retrovirus Studies 3
    • Immune Cell Function and Interaction 2
    • Immune cells in cancer 2

Daniel O. Pinto

19 papers receiving 360 citations

Peers

Daniel O. Pinto
Comparison fields: 5 of 64
  • Virology 49
  • Immunology 88
  • Molecular Biology 217
  • Infectious Diseases 55
  • Cancer Research 43
Replace JoAnn C. Castelli with:
JoAnn C. Castelli United States
Netty Santoso United States
Patricia A. Thibault Canada
Farzana Bhuyan United States
Elizabeth C. Coronel United States
Camille Martinand France
Chuantao Ye China
Rui André Saraiva Raposo United States
Matthias Hamdorf Germany
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Citations per field
00.5×10×15×18.7×
JoAnn C. Castelli · 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 201853
2 201951
3 201928
4 202127
5 201326
6 201924
7 201620
8 202019
9 202018
10 202015
11 202115
12 202113
13 202112
14 201912
15 20209
16 20226
17 20206
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 361 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (7 papers), T-cell and Retrovirus Studies (3 papers), Vector-Borne Animal Diseases (2 papers), Parvovirus B19 Infection Studies (2 papers), Circular RNAs in diseases (2 papers), Immune Cell Function and Interaction (2 papers), Immune cells in cancer (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Virology (49 citations), Immunology (88 citations), Molecular Biology (217 citations), Infectious Diseases (55 citations) and Cancer Research (43 citations). Daniel O. Pinto has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Fatah Kashanchi, Heather Branscome, Catherine DeMarino, Michelle L. Pleet, Maria Cowen, Nazira El‐Hage, Robert A. Barclay, James Erickson, Lance A. Liotta and Monique L. van Hoek. Their work appears in journals such as Viruses, Scientific Reports, Retrovirology, Journal of Visualized Experiments and Tobacco Induced Diseases.

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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