Mariano Barbacid

66.1k citations
266 papers · 52.4k indexed · 32 hit papers · h-index 107

Mariano Barbacid

264 papers receiving 50.6k citations

Hit Papers

Targeting...330198220261996201150010001.5k2.0k2.5k

Peers

Mariano Barbacid
Comparison fields: 5 of 174
  • Developmental Neuroscience 5.4k
  • Cellular and Molecular Neuroscience 12.4k
  • Oncology 15.0k
  • Molecular Biology 31.1k
  • Cancer Research 5.9k
Replace Tom Curran with:
Tom Curran United States
Christer Betsholtz Sweden
Luis F. Parada United States
Neal G. Copeland United States
Joachim Herz United States
Nancy A. Jenkins United States
Michael G. Rosenfeld United States
Roel Nusse United States
Carmen Birchmeier Germany
Kozo Kaibuchi Japan
Mariano Barbacid relative to Tom Curran United States Tom Curran's profile →
Citations per field
00.5×5.2×
Tom Curran · 1×
Citations per year

Countries citing papers authored by Mariano Barbacid

Since Specialization
Citations

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

Fields of papers citing papers by Mariano Barbacid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20249
3 20229
4 202222
5 20225
6 202125
7 202112
8 202112
9 202018
10 202015
11
Targeting the MAPK Pathway in KRAS-Driven Tumorsbreakdown →
2020330
12 201887
13 201738
14 201745
15 201619
16 201418
17 201159
18 200641
19 200538
20 199850

About Mariano Barbacid

Mariano Barbacid is a scholar working on Developmental Neuroscience, Oncology and Cellular and Molecular Neuroscience, having authored 266 papers that have together received 52.4k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (52 papers), Nerve injury and regeneration (35 papers), Virus-based gene therapy research (30 papers), Protein Kinase Regulation and GTPase Signaling (30 papers), PI3K/AKT/mTOR signaling in cancer (25 papers), Epigenetics and DNA Methylation (23 papers), Neurogenesis and neuroplasticity mechanisms (23 papers) and Microtubule and mitosis dynamics (20 papers). The work is most often cited by research in Developmental Neuroscience (5.4k citations), Cellular and Molecular Neuroscience (12.4k citations) and Oncology (15.0k citations). Mariano Barbacid has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include Marcos Malumbres, Rüdiger Klein, Dionisio Martín‐Zanca, Fabienne Lamballe, Carmen Guerra, Eugenio Santos, Pierre Dubus, Peter Tapley, Xosé R. Bustelo and Jonas Frisén. Their work appears in journals such as Nature, Science and Cell.

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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