Daniela Pinto

3.5k citations
95 papers · 2.3k · h-index 26

Impact in

Papers in

    • Genomics and Phylogenetic Studies 5
    • Epigenetics and DNA Methylation 4
    • Cancer-related Molecular Pathways 6

Daniela Pinto

91 papers receiving 2.2k citations

Peers

Daniela Pinto
Comparison fields: 5 of 133
  • Endocrinology 177
  • Oncology 419
  • Cancer Research 199
  • Molecular Biology 858
  • Biotechnology 105
Replace Catherine Daniel with:
Catherine Daniel France
Xu Yang China
Haihua Yang China
Thomas Stallmach Switzerland
Juan Du China
Brigitte Arbeille France
Meirav Pevsner‐Fischer Israel
Camilla Urbaniak United States
Jennifer M. Bomberger United States
Sture Löfgren Sweden
Daniela Pinto relative to Catherine Daniel France Catherine Daniel's profile →
Citations per field
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Catherine Daniel · 1×
Citations per year

Countries citing papers authored by Daniela Pinto

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013280
2 2011129
3 199794
4 200891
5 200680
6 200378
7 200777
8 200476
9 200776
10 200255
11 201152
12 200750
13 201544
14 202042
15 200541
16 200439
17 200838
18 200335
19 200634
20 202133

About Daniela Pinto

Daniela Pinto is a scholar working on Molecular Biology, Oncology, Epidemiology, Genetics and Pulmonary and Respiratory Medicine, having authored 95 papers that have together received 2.3k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (8 papers), Cancer-related Molecular Pathways (6 papers), Cervical Cancer and HPV Research (5 papers), Acute Lymphoblastic Leukemia research (5 papers), Genomics and Phylogenetic Studies (5 papers), Epigenetics and DNA Methylation (4 papers), Mycobacterium research and diagnosis (4 papers) and Bacteriophages and microbial interactions (4 papers). The work is most often cited by research in Endocrinology (177 citations), Oncology (419 citations), Cancer Research (199 citations), Molecular Biology (858 citations) and Biotechnology (105 citations). Daniela Pinto has collaborated with scholars based in Portugal, Italy and Germany. Frequent co-authors include Rui Medeiros, Mário A. Santos, Lélia Chambel, Sandra Costa, Carlos Lopes, Thorsten Mascher, Deolinda Pereira, Jorge Oliveira, André Vasconcelos and António Morais. Their work appears in journals such as Oncotarget, The Prostate, The Science of The Total Environment, Molecular Microbiology and International Journal of Molecular Sciences.

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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