Roberto Piñeiro

40 papers receiving 2.1k citations

Peers

Roberto Piñeiro
Comparison fields: 5 of 108
  • Rehabilitation 123
  • Neurology 152
  • Oncology 473
  • Endocrine and Autonomic Systems 103
  • Immunology 296
Replace Elisabeth Graf with:
Elisabeth Graf Germany
Abdelkrim Hmadcha Spain
Ghassan Yehia United States
Anne Hamik United States
Michelle I. Lin United States
Patrick A. Dreyfus France
James R. Tonra United States
MingMing Ning United States
Chun Cheng China
Claudia C.S. Chini United States
Roberto Piñeiro relative to Elisabeth Graf Germany Elisabeth Graf's profile →
Citations per field
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Elisabeth Graf · 1×
Citations per year

Countries citing papers authored by Roberto Piñeiro

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Piñeiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Roberto Piñeiro, 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 Roberto Piñeiro Line = papers co-authored together Roberto Piñeiro links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014412
2 2005286
3 2010194
4 2001187
5 2002138
6 2015110
7 2000107
8 201283
9 200376
10 202063
11 202052
12 200646
13 202039
14 200435
15 201935
16 200734
17 200634
18 200626
19 201626
20 202123

About Roberto Piñeiro

Roberto Piñeiro is a scholar working on Oncology, Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine and Biomedical Engineering, having authored 42 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (10 papers), Cancer Genomics and Diagnostics (8 papers), Chronic Lymphocytic Leukemia Research (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Zebrafish Biomedical Research Applications (3 papers), 3D Printing in Biomedical Research (3 papers), Metastasis and carcinoma case studies (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Rehabilitation (123 citations), Neurology (152 citations), Oncology (473 citations), Endocrine and Autonomic Systems (103 citations) and Immunology (296 citations). Roberto Piñeiro has collaborated with scholars based in Spain, United Kingdom and Italy. Frequent co-authors include Marco Falasca, Paul M. Matthews, Sarah T. Pendlebury, Heidi Johansen‐Berg, Tania Maffucci, Francisca Lago, Bart Vanhaesebroeck, José Ramón González‐Juanatey, María Jesús Iglesias and Sonia Eirás. Their work appears in journals such as Cancers, Stroke, Advances in experimental medicine and biology, Circulation and Oncogene.

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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