Luis del Peso

7.8k citations
62 papers · 6.1k indexed · 2 hit papers · h-index 33
    • Cancer, Hypoxia, and Metabolism 31
    • Cancer-related molecular mechanisms research 6
  • Immunology top 2%
  • Aging top 2%
    • RNA modifications and cancer 12
    • Protein Kinase Regulation and GTPase Signaling 10
    • Cell death mechanisms and regulation 8
    • Mitochondrial Function and Pathology 6
    • PI3K/AKT/mTOR signaling in cancer 6
    • Epigenetics and DNA Methylation 5
  • Oncology top 5%

Luis del Peso

61 papers receiving 6.0k citations

Hit Papers

Nod1, an Apaf-1-like Activator of Caspase-9 and Nuclear F...606199720262006201650010001.5k

Peers

Luis del Peso
Comparison fields: 5 of 131
  • Cancer Research 1.8k
  • Immunology 1.5k
  • Aging 108
  • Molecular Biology 4.1k
  • Oncology 956
Replace Xiaolu Yang with:
Xiaolu Yang United States
Arnim Pause Canada
Paul Jedlicka United States
Alexey Kotlyarov Germany
Bo Porse Denmark
Anne Hakem Canada
Ivan Topisirović Canada
Eitan Shaulian Israel
Zhigao Wang United States
Laura Sanz Spain
Luis del Peso relative to Xiaolu Yang United States Xiaolu Yang's profile →
Citations per field
00.5×1.5×
Xiaolu Yang · 1×
Citations per year

Countries citing papers authored by Luis del Peso

Since Specialization
Citations

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

Fields of papers citing papers by Luis del Peso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luis del Peso. 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 Luis del Peso. The network helps show where Luis del Peso may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20226
4 202012
5 201930
6 201922
7 201719
8 20168
9 201490
10 20087
11 200738
12 200713
13 200330
14 2000455
15 200018
16
Nod1, an Apaf-1-like Activator of Caspase-9 and Nuclear Factor-κBbreakdown →
1999606
17 199888
18 199867
19 1998208
20 199891

About Luis del Peso

Luis del Peso is a scholar working on Cancer Research, Aging and Molecular Biology, having authored 62 papers that have together received 6.1k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (31 papers), RNA modifications and cancer (12 papers), Protein Kinase Regulation and GTPase Signaling (10 papers), Cell death mechanisms and regulation (8 papers), Mitochondrial Function and Pathology (6 papers), PI3K/AKT/mTOR signaling in cancer (6 papers), Cancer-related molecular mechanisms research (6 papers) and Epigenetics and DNA Methylation (5 papers). The work is most often cited by research in Cancer Research (1.8k citations), Immunology (1.5k citations) and Aging (108 citations). Luis del Peso has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Gabriel Núñez, Román Herrera, Carmen Page, Naohiro Inohara, Takeyoshi Koseki, Manuel O. Landázuri, Shu Chen, Juan Carlos Lacal, Diego Villar and Nuria Pescador. Their work appears in journals such as Science, Nucleic Acids Research and Journal of Biological Chemistry.

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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