David Piñeiro

966 citations
26 papers · 809 · h-index 17

Impact in

    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing
    • Advanced biosensing and bioanalysis techniques
    • PI3K/AKT/mTOR signaling in cancer
  • Hepatology top 10%
    • Hepatitis C virus research

Papers in

David Piñeiro

26 papers receiving 792 citations

Peers

David Piñeiro
Comparison fields: 5 of 69
  • Molecular Biology 446
  • Hepatology 61
  • Neurology 46
  • Immunology 71
  • Agronomy and Crop Science 40
Replace Hideki Tani with:
Hideki Tani Japan
Yingqiu Guo China
Stéphanie Eyquem France
Takeshi Kameyama Japan
Qiuting Deng China
Adam Graham Grieve United Kingdom
Sadeem Ahmad United States
Stéphanie François France
Sunyoung Hwang South Korea
Gress Kadaré France
David Piñeiro relative to Hideki Tani Japan Hideki Tani's profile →
Citations per field
00.5×5×10×12.9×
Hideki Tani · 1×
Citations per year

Countries citing papers authored by David Piñeiro

Since Specialization
Citations

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

Fields of papers citing papers by David Piñeiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201469
2 201260
3 200457
4 202357
5 200752
6 201251
7 201447
8 201246
9 202246
10 201744
11 200339
12 200632
13 202032
14 201531
15 201229
16 201819
17 201317
18 200716
19 200613
20 202413

About David Piñeiro

David Piñeiro is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Neurology, Hepatology and Immunology, having authored 26 papers that have together received 809 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (13 papers), RNA Research and Splicing (4 papers), Acute Ischemic Stroke Management (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Immune Response and Inflammation (3 papers), Cardiac Ischemia and Reperfusion (2 papers), Hepatitis C virus research (2 papers) and Calpain Protease Function and Regulation (2 papers). The work is most often cited by research in Molecular Biology (446 citations), Hepatology (61 citations), Neurology (46 citations), Immunology (71 citations) and Agronomy and Crop Science (40 citations). David Piñeiro has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Encarnación Martı́nez-Salas, Vı́ctor M. González, Noemí Fernández, Jorge Ramajo, Matilde Salinas, María Elena Martín, Javier Fernández-Chamorro, Rosario Francisco‐Velilla, Shelton S. Bradrick and Macarena Hernández‐Jiménez. Their work appears in journals such as Nucleic Acids Research, Experimental Cell Research, Molecular Therapy — Nucleic Acids, Biomolecules and Pharmaceutics.

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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