Marta Pinto

3.3k citations
96 papers · 2.5k · h-index 30

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 4
    • Cancer Cells and Metastasis 5
    • Drug Transport and Resistance Mechanisms 5

Marta Pinto

92 papers receiving 2.5k citations

Peers

Marta Pinto
Comparison fields: 5 of 148
  • Cancer Research 318
  • Immunology 332
  • Molecular Biology 1.1k
  • Oncology 384
  • Physiology 364
Replace Liying Li with:
Liying Li China
Brian G. Rowan United States
Małgorzata Burek Germany
Kerry S. Russell United States
Richard Z. Lin United States
Songtao Yu United States
Young‐Ho Lee South Korea
Thierry Grand‐Perret France
Guido Lenz Brazil
Masato Kobori Japan
Marta Pinto relative to Liying Li China Liying Li's profile →
Citations per field
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Citations per year

Countries citing papers authored by Marta Pinto

Since Specialization
Citations

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

Fields of papers citing papers by Marta Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marta 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 Marta Pinto Line = papers co-authored together Marta 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 2017197
2 2016159
3 2013107
4 2013102
5 201594
6 201973
7 198069
8 201568
9 201065
10 201057
11 202056
12 201755
13 200852
14 201751
15 202243
16 201443
17 198243
18 201142
19 200942
20 200337

About Marta Pinto

Marta Pinto is a scholar working on Molecular Biology, Oncology, Physiology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 96 papers that have together received 2.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Pain Mechanisms and Treatments (10 papers), Growth Hormone and Insulin-like Growth Factors (9 papers), Neuropeptides and Animal Physiology (8 papers), Pituitary Gland Disorders and Treatments (6 papers), Cancer Cells and Metastasis (5 papers), Drug Transport and Resistance Mechanisms (5 papers) and Metabolism, Diabetes, and Cancer (4 papers). The work is most often cited by research in Cancer Research (318 citations), Immunology (332 citations), Molecular Biology (1.1k citations), Oncology (384 citations) and Physiology (364 citations). Marta Pinto has collaborated with scholars based in Portugal, Spain and Italy. Frequent co-authors include Isaura Tavares, Deolinda Lima, María José Oliveira, Francesco Cavagnini, Raquel Seruca, Mário A. Barbosa, Paula Soares, Celso A. Reis, Gerhard F. Ecker and Diana Campos. Their work appears in journals such as Neuroscience, Metabolism, PLoS ONE, Human Molecular Genetics 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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