Daniel O. Pinto

24 total papers · 458 total citations
19 papers, 352 citations indexed

About

Daniel O. Pinto is a scholar working on Molecular Biology, Immunology and Infectious Diseases. According to data from OpenAlex, Daniel O. Pinto has authored 19 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Immunology and 4 papers in Infectious Diseases. Recurrent topics in Daniel O. Pinto's work include Extracellular vesicles in disease (8 papers), T-cell and Retrovirus Studies (4 papers) and Circular RNAs in diseases (3 papers). Daniel O. Pinto is often cited by papers focused on Extracellular vesicles in disease (8 papers), T-cell and Retrovirus Studies (4 papers) and Circular RNAs in diseases (3 papers). Daniel O. Pinto collaborates with scholars based in United States, Canada and France. Daniel O. Pinto's co-authors include Catherine DeMarino, Heather Branscome, Fatah Kashanchi, Michelle L. Pleet, Maria Cowen, Nazira El‐Hage, Robert A. Barclay, Lance A. Liotta, Monique L. van Hoek and Renaud Mahieux and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Daniel O. Pinto

19 papers receiving 351 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel O. Pinto 226 101 59 52 50 19 352
Heather Branscome 234 1.0× 78 0.8× 63 1.1× 107 2.1× 29 0.6× 19 374
Yurina Hibi 224 1.0× 83 0.8× 38 0.6× 71 1.4× 47 0.9× 18 342
Quan Zhang 144 0.6× 175 1.7× 61 1.0× 33 0.6× 30 0.6× 22 401
Rebekah van Bruggen 160 0.7× 62 0.6× 38 0.6× 12 0.2× 67 1.3× 18 380
Hesham Nasser 105 0.5× 120 1.2× 64 1.1× 13 0.3× 62 1.2× 24 377
Christopher Sample 147 0.7× 108 1.1× 80 1.4× 19 0.4× 26 0.5× 17 364
Chuantao Ye 117 0.5× 73 0.7× 121 2.1× 34 0.7× 18 0.4× 23 294
César Sánchez 61 0.3× 169 1.7× 36 0.6× 14 0.3× 69 1.4× 21 400
Yuki Nakaya 151 0.7× 106 1.0× 38 0.6× 17 0.3× 25 0.5× 26 344
Hao Yao 132 0.6× 39 0.4× 45 0.8× 27 0.5× 27 0.5× 21 340

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-authorship network of co-authors of Daniel O. Pinto

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

All Works

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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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