Jorge Moscat

23.6k citations
182 papers · 18.3k indexed · 2 hit papers · h-index 76
    • NF-κB Signaling Pathways 31
    • Cancer, Hypoxia, and Metabolism 13
    • Protein Kinase Regulation and GTPase Signaling 49
    • Cell death mechanisms and regulation 30
    • Melanoma and MAPK Pathways 16
    • Metabolism, Diabetes, and Cancer 15
  • Cell Biology top 0.2%
  • Epidemiology top 0.5%
    • Autophagy in Disease and Therapy 18
  • Immunology top 0.5%
    • Cancer-related Molecular Pathways 18

Jorge Moscat

181 papers receiving 18.1k citations

Hit Papers

NF-κB Restricts Inflammasome Activation via Elimina...9462009202620142020250500750

Peers

Jorge Moscat
Comparison fields: 5 of 128
  • Cancer Research 3.4k
  • Molecular Biology 12.8k
  • Cell Biology 2.8k
  • Epidemiology 4.2k
  • Immunology 2.6k
Replace María T. Díaz‐Meco with:
María T. Díaz‐Meco United States
Paul Dent United States
Adi Kimchi Israel
J. Alan Diehl United States
Shigeomi Shimizu Japan
Tomoichiro Asano Japan
Tullia Lindsten United States
Xiao-Ming Yin United States
Nissim Hay United States
Ken Inoki United States
Jorge Moscat relative to María T. Díaz‐Meco United States María T. Díaz‐Meco's profile →
Citations per field
00.5×1.5×
María T. Díaz‐Meco · 1×
Citations per year

Countries citing papers authored by Jorge Moscat

Since Specialization
Citations

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

Fields of papers citing papers by Jorge Moscat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20245
2 20212
3 201878
4 201646
5 2016217
6 201578
7 201397
8 201025
9 200824
10 2008207
11 200772
12 2004186
13 200161
14 1999183
15 1998227
16 1998199
17 1997194
18 1997150
19 1997264
20 19946

About Jorge Moscat

Jorge Moscat is a scholar working on Cancer Research, Cell Biology, Molecular Biology, Oncology and Biochemistry, having authored 182 papers that have together received 18.3k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (49 papers), NF-κB Signaling Pathways (31 papers), Cell death mechanisms and regulation (30 papers), Cancer-related Molecular Pathways (18 papers), Autophagy in Disease and Therapy (18 papers), Melanoma and MAPK Pathways (16 papers), Metabolism, Diabetes, and Cancer (15 papers) and Cancer, Hypoxia, and Metabolism (13 papers). The work is most often cited by research in Cancer Research (3.4k citations), Molecular Biology (12.8k citations), Cell Biology (2.8k citations), Epidemiology (4.2k citations) and Immunology (2.6k citations). Jorge Moscat has collaborated with scholars based in United States, Spain and Norway. Frequent co-authors include María T. Díaz‐Meco, Ángeles Durán, Laura Sanz, Edurne Berra, José Lozano, M.M. Municio, Miguel Reina‐Campos, Juan F. Linares, Michael Karin and Mary L. Standaert. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, Cancer Cell, The EMBO Journal 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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