Rita Pinto

17 total papers · 512 total citations
10 papers, 292 citations indexed

About

Rita Pinto is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Cancer Research. According to data from OpenAlex, Rita Pinto has authored 10 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Pathology and Forensic Medicine and 2 papers in Cancer Research. Recurrent topics in Rita Pinto's work include Cancer-related gene regulation (5 papers), RNA modifications and cancer (5 papers) and Epigenetics and DNA Methylation (4 papers). Rita Pinto is often cited by papers focused on Cancer-related gene regulation (5 papers), RNA modifications and cancer (5 papers) and Epigenetics and DNA Methylation (4 papers). Rita Pinto collaborates with scholars based in Norway, Denmark and Netherlands. Rita Pinto's co-authors include Pål Ø. Falnes, Jędrzej Małecki, Sebastian A. Leidel, Magnus E. Jakobsson, Jesper V. Olsen, Marie-Françoise O’Donohue, Jie Wu, Pierre‐Emmanuel Gleizes, Erna Davydova and Anders Moen and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Rita Pinto

8 papers receiving 288 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Rita Pinto 269 81 45 13 12 10 292
Ming Huang 267 1.0× 82 1.0× 37 0.8× 12 0.9× 15 1.3× 16 305
Belinda J. Petri 199 0.7× 154 1.9× 27 0.6× 10 0.8× 8 0.7× 12 248
Ling-Yun Qin 231 0.9× 62 0.8× 28 0.6× 20 1.5× 6 0.5× 8 294
Kaifeng Niu 228 0.8× 70 0.9× 44 1.0× 8 0.6× 18 1.5× 13 305
Alexandra Schurer 242 0.9× 105 1.3× 42 0.9× 12 0.9× 8 0.7× 11 310
Yuqin Tan 233 0.9× 56 0.7× 54 1.2× 6 0.5× 6 0.5× 9 278
Aimee T. Farria 261 1.0× 44 0.5× 57 1.3× 3 0.2× 10 0.8× 8 306
Yilei Gong 238 0.9× 62 0.8× 58 1.3× 4 0.3× 30 2.5× 10 299
Jolene Caifeng Ho 228 0.8× 76 0.9× 29 0.6× 4 0.3× 10 0.8× 11 310
Kosuke Matsumura 238 0.9× 148 1.8× 36 0.8× 5 0.4× 12 1.0× 11 305

Countries citing papers authored by Rita Pinto

Since Specialization
Citations

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

Fields of papers citing papers by Rita Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rita Pinto

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

All Works

Loading papers...

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

Rankless by CCL
2026