Daniel Prieto

448 citations
17 papers · 310 · h-index 10

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Molecular Biology Techniques and Applications 3
    • Glycosylation and Glycoproteins Research 2
    • Chronic Lymphocytic Leukemia Research 5

Daniel Prieto

16 papers receiving 306 citations

Peers

Daniel Prieto
Comparison fields: 5 of 87
  • Cancer Research 78
  • Genetics 51
  • Immunology 72
  • Molecular Biology 205
  • Physiology 8
Replace Karan Bedi with:
Karan Bedi United States
Tomoharu Kanie United States
Tanya M. Braumuller Netherlands
Mulu Geletu Canada
Deepti B. Ramnarain United States
Liat Goldberg United States
Sandra Segura‐Bayona Spain
Dana Grebeňová Czechia
Abbey Perl United States
Georgia Xouri Germany
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Citations per field
00.5×1.5×
Karan Bedi · 1×
Citations per year

Countries citing papers authored by Daniel Prieto

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Prieto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201779
2 201462
3 201460
4 201414
5 201813
6 201513
7 201712
8 201612
9 202011
10 201811
11 20229
12 20155
13 20213
14 20173
15 20222
16 20201
17 20230

About Daniel Prieto

Daniel Prieto is a scholar working on Molecular Biology, Genetics, Immunology, Pharmacology and Cellular and Molecular Neuroscience, having authored 17 papers that have together received 310 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (5 papers), Galectins and Cancer Biology (3 papers), Molecular Biology Techniques and Applications (3 papers), Physiological and biochemical adaptations (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Glycosylation and Glycoproteins Research (2 papers), Lipid metabolism and disorders (2 papers) and Neurobiology and Insect Physiology Research (2 papers). The work is most often cited by research in Cancer Research (78 citations), Genetics (51 citations), Immunology (72 citations), Molecular Biology (205 citations) and Physiology (8 citations). Daniel Prieto has collaborated with scholars based in Uruguay, Switzerland and France. Frequent co-authors include Flavio R. Zolessi, Pablo Elías Morande, Pablo Oppezzo, Cecilia Abreu, Ana Inés Landoni, Raúl Gabus, Florencia Palacios, Sandra Sernbo, Rosario Durán and Santiago Ruiz. Their work appears in journals such as Journal of Visualized Experiments, Journal of Experimental Zoology Part B Molecular and Developmental Evolution, British Journal of Haematology, Blood and Frontiers in 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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