Regina Pinto

697 citations
7 papers · 550 indexed · 1 hit paper · h-index 4
Topics
Cancer Genomics and Diagnostics (4 papers)Radiomics and Machine Learning in Medical Imaging (2 papers)COVID-19 and healthcare impacts (2 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of Clinical PathologyBioMed Research International
Partner nations
PortugalSpainItaly

In The Last Decade

Regina Pinto

6 papers receiving 543 citations

Hit Papers

Breast cancer stem cell markers CD44, CD24 and ALDH1: exp...20112026201620212011100200300400

Peers

Regina Pinto
Comparison fields: 5 of 65
  • Oncology 408
  • Molecular Biology 268
  • Cancer Research 187
  • Pulmonary and Respiratory Medicine 71
  • Biomedical Engineering 56
Replace Agnieszka Martowicz with:
Agnieszka Martowicz Austria
Sharon A. Vantyghem Canada
Janak Raval United States
Jorge Aguilar United States
Laura Austin United States
Ran‐Ju Kim South Korea
Erika López‐Arribillaga Spain
Aleksandra Markiewicz Poland
Avital Lev United States
Kristina Stumpf United States
Regina Pinto relative to Agnieszka Martowicz Austria Agnieszka Martowicz's profile →
Citations per field
00.5×1.5×1.9×
Agnieszka Martowicz · 1×
Citations per year

Countries citing papers authored by Regina Pinto

Since Specialization
Citations

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

Fields of papers citing papers by Regina Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Regina Pinto

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 0
2 7
3 2
4 3
5 8
6 39
7
Breast cancer stem cell markers CD44, CD24 and ALDH1: expression distribution within intrinsic molecular subtypebreakdown →
491

About Regina Pinto

Regina Pinto is a scholar working on Cancer Research, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 7 papers that have together received 550 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and COVID-19 and healthcare impacts (2 papers). The work is most often cited by research in Oncology (408 citations), Cancer Research (187 citations) and Molecular Biology (268 citations). Regina Pinto has collaborated with scholars based in Portugal, Spain and Italy. Frequent co-authors include Fernando Schmitt, Joana Paredes, José Cameselle‐Teijeiro, Sara Ricardo, Fernanda Milanezi, Dina Leitão, Renê Gerhard, André Filipe Vieira, António Polónia and Luı́s Cirnes. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Clinical Pathology and BioMed Research International.

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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