Pacôme Lecot

1.6k citations
4 papers · 1.2k · 1 hit paper · h-index 4

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
  • Physiology top 5%
    • Telomeres, Telomerase, and Senescence

Papers in

    • Mitochondrial Function and Pathology 1
    • Inflammatory Biomarkers in Disease Prognosis 1
    • Cancer Immunotherapy and Biomarkers 1

Pacôme Lecot

4 papers receiving 1.2k citations

Pacôme Lecot's Hit Papers

Mitochondrial Dysfunction Induces Senescence with a Distinct Secretory Phenotype 2015 · 932 citations
9320+3+7Years since publication250500750

Peers

Pacôme Lecot
Comparison fields: 5 of 88
  • Aging 97
  • Physiology 543
  • Geriatrics and Gerontology 63
  • Immunology 305
  • Cancer Research 127
Replace Ethan A. Sarnoski with:
Ethan A. Sarnoski United States
Martina Gluscevic United States
Timothy Nacarelli United States
Peter L.J. de Keizer Netherlands
Robyn Laura Kosinsky Germany
Garrett A. Sessions United States
Abigail L. Peterson United States
Jessie C. Jeyapalan United States
Juan Fafián‐Labora Spain
Simona Nanni Italy
Pacôme Lecot relative to Ethan A. Sarnoski United States Ethan A. Sarnoski's profile →
Citations per field
00.5×1.5×
Ethan A. Sarnoski · 1×
Citations per year

Countries citing papers authored by Pacôme Lecot

Since Specialization
Citations

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

Fields of papers citing papers by Pacôme Lecot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

About Pacôme Lecot

Pacôme Lecot is a scholar working on Molecular Biology, Oncology, Physiology, Immunology and Epidemiology, having authored 4 papers that have together received 1.2k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (2 papers), Immune cells in cancer (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Inflammatory Biomarkers in Disease Prognosis (1 paper), MicroRNA in disease regulation (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Autophagy in Disease and Therapy (1 paper) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Aging (97 citations), Physiology (543 citations), Geriatrics and Gerontology (63 citations), Immunology (305 citations) and Cancer Research (127 citations). Pacôme Lecot has collaborated with scholars based in United States, France and Netherlands. Frequent co-authors include Christopher D. Wiley, Judith Campisi, Ethan A. Sarnoski, Hyung W. Lim, Michael C. Velarde, Sonnet S. Davis, Eric Verdin, Su Liu, Kotaro Shirakawa and Adam Freund. Their work appears in journals such as International Journal of Cancer, British Journal of Cancer, Cell Metabolism and Frontiers in Immunology.

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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