Daniela Pinto

3.4k citations
96 papers · 2.2k · h-index 26

Impact in

Papers in

    • Epigenetics and DNA Methylation 7
    • Genomics and Phylogenetic Studies 6
    • Cancer-related Molecular Pathways 6

Daniela Pinto

88 papers receiving 2.1k citations

Peers

Daniela Pinto
Comparison fields: 5 of 135
  • Endocrinology 173
  • Oncology 488
  • Cancer Research 261
  • Molecular Biology 987
  • Biotechnology 107
Replace Catherine Daniel with:
Catherine Daniel France
Wei Xin China
Robert A. Moran United States
Xu Yang China
Thomas Stallmach Switzerland
Juan Du China
Camilla Urbaniak United States
Hui Liang China
Jennifer M. Bomberger United States
Brigitte Arbeille France
Daniela Pinto relative to Catherine Daniel France Catherine Daniel's profile →
Citations per field
00.5×1.5×2.0×
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 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013263
2 2011123
3 199790
4 200890
5 200379
6 200679
7 200475
8 200774
9 200772
10 200254
11 201150
12 200748
13 201542
14 202041
15 200539
16 200437
17 200837
18 200633
19 200333
20 200532

About Daniela Pinto

Daniela Pinto is a scholar working on Molecular Biology, Oncology, Epidemiology, Genetics and Pulmonary and Respiratory Medicine, having authored 96 papers that have together received 2.2k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (8 papers), Epigenetics and DNA Methylation (7 papers), Genomics and Phylogenetic Studies (6 papers), Cancer-related Molecular Pathways (6 papers), Acute Lymphoblastic Leukemia research (5 papers), Cervical Cancer and HPV Research (5 papers), Bacteriophages and microbial interactions (4 papers) and Tuberculosis Research and Epidemiology (4 papers). The work is most often cited by research in Endocrinology (173 citations), Oncology (488 citations), Cancer Research (261 citations), Molecular Biology (987 citations) and Biotechnology (107 citations). Daniela Pinto has collaborated with scholars based in Portugal, Italy and Germany. Frequent co-authors include Rui Medeiros, Lélia Chambel, Mário A. Santos, Sandra Costa, Carlos Lopes, Thorsten Mascher, Deolinda Pereira, Jorge Oliveira, André Vasconcelos and António Morais. Their work appears in journals such as Oncotarget, Molecular Microbiology, International Journal of Molecular Sciences, The Science of The Total Environment and The Prostate.

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.

Explore authors with similar magnitude of impact