Clément Molina

545 citations
6 papers · 390 · 1 hit paper · h-index 5

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
  • Physiology top 10%
    • Telomeres, Telomerase, and Senescence

Papers in

    • Epigenetics and DNA Methylation 2
    • Histone Deacetylase Inhibitors Research 2
    • Pluripotent Stem Cells Research 2
    • Telomeres, Telomerase, and Senescence 2

Clément Molina

6 papers receiving 389 citations

Clément Molina's Hit Papers

Defined p16High Senescent Cell Types Are Indispensable for Mouse Healthspan 2020 · 312 citations
3120+2+4Years since publication100200300

Peers

Clément Molina
Comparison fields: 5 of 64
  • Aging 51
  • Physiology 232
  • Immunology 107
  • Endocrine and Autonomic Systems 25
  • Molecular Biology 171
Replace Alexis Valdovinos with:
Alexis Valdovinos United States
Aurélie Martinez Canada
Thijmen van Vliet Netherlands
Teh‐Wei Wang Japan
Lishi Sun United States
Narumi Suzuki Japan
Seira Hatakeyama Japan
Valeria Lodde Italy
Vinh Dao United States
Marcus Krüeger Germany
Clément Molina relative to Alexis Valdovinos United States Alexis Valdovinos's profile →
Citations per field
00.5×1.5×
Alexis Valdovinos · 1×
Citations per year

Countries citing papers authored by Clément Molina

Since Specialization
Citations

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

Fields of papers citing papers by Clément Molina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1
Defined p16High Senescent Cell Types Are Indispensable for Mouse Healthspan
Hit paper breakdown →
2020312
2 200736
3 201921
4 202316
5 20224
6 20251

About Clément Molina

Clément Molina is a scholar working on Molecular Biology, Physiology, Immunology, Genetics and Pulmonary and Respiratory Medicine, having authored 6 papers that have together received 390 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (2 papers), Histone Deacetylase Inhibitors Research (2 papers), Pluripotent Stem Cells Research (2 papers), Telomeres, Telomerase, and Senescence (2 papers), Blood properties and coagulation (1 paper), MicroRNA in disease regulation (1 paper), Chemokine receptors and signaling (1 paper) and Phagocytosis and Immune Regulation (1 paper). The work is most often cited by research in Aging (51 citations), Physiology (232 citations), Immunology (107 citations), Endocrine and Autonomic Systems (25 citations) and Molecular Biology (171 citations). Clément Molina has collaborated with scholars based in France, Monaco and United States. Frequent co-authors include Dmitry V. Bulavin, Alexander Emelyanov, Laurent Grosse, Nicole Wagner, Sandra Lacas‐Gervais, Kay‐Dietrich Wagner, Stéphane Génieys, Fabien Crauste, Olivier Gandrillon and Laurent Pujo-Menjouet. Their work appears in journals such as Cell Metabolism, Nature Cell Biology, Molecular Cell, Cells and Cancer Research.

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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