Daniela Pinto

3.4k total citations
96 papers, 2.2k citations indexed

About

Daniela Pinto is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Daniela Pinto has authored 96 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 23 papers in Oncology and 16 papers in Epidemiology. Recurrent topics in Daniela Pinto's work include Bacterial Genetics and Biotechnology (8 papers), Epigenetics and DNA Methylation (7 papers) and Cancer-related Molecular Pathways (6 papers). Daniela Pinto is often cited by papers focused on Bacterial Genetics and Biotechnology (8 papers), Epigenetics and DNA Methylation (7 papers) and Cancer-related Molecular Pathways (6 papers). Daniela Pinto collaborates with scholars based in Portugal, Italy and Germany. Daniela Pinto's 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 and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Daniela Pinto

88 papers receiving 2.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniela Pinto Portugal 26 987 488 336 301 261 96 2.2k
Catherine Daniel France 30 1.1k 1.1× 471 1.0× 384 1.1× 267 0.9× 242 0.9× 71 2.7k
Hui Liang China 24 726 0.7× 294 0.6× 429 1.3× 125 0.4× 301 1.2× 152 1.9k
Tsutomu Yoshida Japan 29 905 0.9× 665 1.4× 346 1.0× 392 1.3× 303 1.2× 120 2.6k
Wei Xin China 32 1.2k 1.2× 385 0.8× 198 0.6× 283 0.9× 308 1.2× 143 3.1k
Camilla Urbaniak United States 19 1.3k 1.3× 438 0.9× 165 0.5× 135 0.4× 73 0.3× 35 2.4k
Jennifer M. Bomberger United States 30 1.9k 1.9× 226 0.5× 888 2.6× 245 0.8× 114 0.4× 80 3.4k
Xu Yang China 31 1.2k 1.2× 555 1.1× 489 1.5× 85 0.3× 547 2.1× 151 3.0k
Robert A. Moran United States 27 1.1k 1.1× 638 1.3× 447 1.3× 426 1.4× 78 0.3× 104 2.9k
Thomas Stallmach Switzerland 32 873 0.9× 342 0.7× 429 1.3× 335 1.1× 147 0.6× 100 3.7k
Linda M. Kalikin United States 26 1.7k 1.7× 379 0.8× 905 2.7× 478 1.6× 203 0.8× 52 2.7k

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-authorship network of co-authors of Daniela Pinto

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

All Works

20 of 20 papers shown
1.
Cunha, Mónica V., Elsa Leclerc Duarte, António Mira, et al.. (2024). Mapping high-risk areas for Mycobacterium tuberculosis complex bacteria transmission: Linking host space use and environmental contamination. The Science of The Total Environment. 953. 176053–176053. 1 indexed citations
2.
3.
Pinto, Daniela, Gonçalo Espregueira Themudo, André C. Pereira, Ana Botelho, & Mónica V. Cunha. (2024). Rescue of Mycobacterium bovis DNA Obtained from Cultured Samples during Official Surveillance of Animal TB: Key Steps for Robust Whole Genome Sequence Data Generation. International Journal of Molecular Sciences. 25(7). 3869–3869.
4.
Flôr-de-Lima, Filipa, et al.. (2024). Neonatal Skull Depression: The Role of Cranial Ultrasound. Cureus. 16(1). e52872–e52872.
5.
Pinto, Daniela, et al.. (2024). Systematic SARS-CoV-2 S-gene sequencing in wastewater samples enables early lineage detection and uncovers rare mutations in Portugal. The Science of The Total Environment. 921. 170961–170961. 2 indexed citations
6.
Aqueveque, Pablo, et al.. (2023). Closed‐loop parameter optimization for patient‐specific phrenic nerve stimulation. Artificial Organs. 48(3). 274–284. 3 indexed citations
7.
Rinaldi, Fabio, et al.. (2023). Resistance and Pseudo-resistance to permethrin: the importance of controlling scabies. Frontiers in Cellular and Infection Microbiology. 13. 1297337–1297337. 6 indexed citations
8.
Rossi, Francesca, Chiara Tortora, Marco Paoletta, et al.. (2022). Osteoporosis in Childhood Cancer Survivors: Physiopathology, Prevention, Therapy and Future Perspectives. Cancers. 14(18). 4349–4349. 19 indexed citations
9.
Rossi, Francesca, Chiara Tortora, Martina Di Martino, et al.. (2022). Alteration of osteoclast activity in childhood cancer survivors: Role of iron and of CB2/TRPV1 receptors. PLoS ONE. 17(7). e0271730–e0271730. 5 indexed citations
10.
Indolfi, Paolo, Silverio Perrotta, Francesca Rossi, et al.. (2018). Childhood Head and Neck Lymphadenopathy: A Report by a Single Institution (2003-2017). Journal of Pediatric Hematology/Oncology. 41(1). 17–20. 8 indexed citations
11.
Pinto, Daniela, et al.. (2017). A case of suspected diffuse dermal angiomatosis associated with severe atherosclerosis. Aging Clinical and Experimental Research. 30(2). 213–215. 1 indexed citations
12.
López, Laura, et al.. (2016). Compromiso renal de los pacientes con tumor de Wilms bilateral. 74–78. 1 indexed citations
13.
Sousa, Hugo, Eduardo Breda, Alexandra M. Santos, et al.. (2013). IL-1RN VNTR polymorphism as a susceptibility marker for nasopharyngeal carcinoma in Portugal. Archives of Oral Biology. 58(8). 1040–1046. 11 indexed citations
14.
Oliveira, Sara, et al.. (2011). Genetic polymorphisms and cervical cancer development: ATM G5557A and p53bp1 C1236G. Oncology Reports. 27(4). 1188–1192. 18 indexed citations
15.
Durante‐Mangoni, Emanuele, Daniela Pinto, Domenico Iossa, et al.. (2011). Outcome of Treatment With Pegylated Interferon and Ribavirin in Heart Transplant Recipients With Chronic Hepatitis C. Transplantation Proceedings. 43(1). 299–303. 6 indexed citations
16.
Indolfi, Paolo, Vittoria Donofrio, Claudia Fusco, et al.. (2010). Kaposiform Hemangioendothelioma of the Kidney: An Unusual Presentation of a Rare Vascular Neoplasm. Journal of Pediatric Hematology/Oncology. 32(5). e195–e198. 5 indexed citations
17.
Fast, Mark D., Stewart C. Johnson, Tyler D. Eddy, Daniela Pinto, & Neil W. Ross. (2007). Lepeophtheirus salmonis secretory/excretory products and their effects on Atlantic salmon immune gene regulation. Parasite Immunology. 29(4). 179–189. 74 indexed citations
18.
Santos, Alexandra M., Hugo Sousa, Deolinda Pereira, et al.. (2005). TP53 and P21 polymorphisms: Response to cisplatinum/paclitaxel-based chemotherapy in ovarian cancer. Biochemical and Biophysical Research Communications. 340(1). 256–262. 39 indexed citations
19.
Ferreira, P., Rui Medeiros, Sandra Costa, et al.. (2003). Association between CYP2E1 polymorphisms and susceptibility to prostate cancer. European Journal of Cancer Prevention. 12(3). 205–211. 31 indexed citations
20.
Perrotta, Silverio, Emanuele Miraglia del Giudice, Achille Iolascon, et al.. (2001). Reversible erythrocyte skeleton destabilization is modulated by beta-spectrin phosphorylation in childhood leukemia. Leukemia. 15(3). 440–444. 10 indexed citations

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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