Clément Molina

545 total citations · 1 hit paper
6 papers, 390 citations indexed

About

Clément Molina is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, Clément Molina has authored 6 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Physiology and 2 papers in Immunology. Recurrent topics in Clément Molina's work include Telomeres, Telomerase, and Senescence (2 papers), Pluripotent Stem Cells Research (2 papers) and Histone Deacetylase Inhibitors Research (2 papers). Clément Molina is often cited by papers focused on Telomeres, Telomerase, and Senescence (2 papers), Pluripotent Stem Cells Research (2 papers) and Histone Deacetylase Inhibitors Research (2 papers). Clément Molina collaborates with scholars based in France, Monaco and United States. Clément Molina's co-authors include Dmitry V. Bulavin, Alexander Emelyanov, Laurent Grosse, Nicole Wagner, Kay‐Dietrich Wagner, Sandra Lacas‐Gervais, Fabien Crauste, Laurent Pujo-Menjouet, Stéphane Génieys and Olivier Gandrillon and has published in prestigious journals such as Molecular Cell, Nature Cell Biology and Cell Metabolism.

In The Last Decade

Clément Molina

6 papers receiving 389 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Defined p16High Senescent Cell Types Are Indispensable for Mouse Healthspan

2020 312 citations Laurent Grosse, Nicole Wagner et al. Cell Metabolism profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Clément Molina France	5	232	171	107	51	51	6	390
Thijmen van Vliet Netherlands	5	193 0.8×	130 0.8×	68 0.6×	43 0.8×	43 0.8×	5	341
Aurélie Martinez Canada	5	256 1.1×	233 1.4×	103 1.0×	48 0.9×	33 0.6×	5	427
Alexis Valdovinos United States	3	272 1.2×	151 0.9×	250 2.3×	69 1.4×	37 0.7×	4	545
Narumi Suzuki Japan	6	125 0.5×	150 0.9×	132 1.2×	54 1.1×	17 0.3×	13	399
Teh‐Wei Wang Japan	7	138 0.6×	134 0.8×	143 1.3×	49 1.0×	18 0.4×	8	407
Seira Hatakeyama Japan	7	129 0.6×	110 0.6×	130 1.2×	37 0.7×	17 0.3×	12	376
Laure Maneix United States	12	63 0.3×	162 0.9×	58 0.5×	40 0.8×	15 0.3×	24	353
Xiuyuan Sun China	13	89 0.4×	187 1.1×	256 2.4×	46 0.9×	12 0.2×	36	517
Valeria Lodde Italy	8	84 0.4×	169 1.0×	65 0.6×	25 0.5×	23 0.5×	15	307
Marcus Krüeger Germany	11	51 0.2×	172 1.0×	43 0.4×	49 1.0×	37 0.7×	17	408

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-authorship network of co-authors of Clément Molina

This figure shows the co-authorship network connecting the top 25 collaborators of Clément Molina. A scholar is included among the top collaborators of Clément Molina based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Clément Molina. Clément Molina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

1.

Sahu, Umakant, Julien Parola, Valérie Vial, et al.. (2025). De Novo Serine Synthesis Is a Metabolic Vulnerability That Can Be Exploited to Overcome Sunitinib Resistance in Advanced Renal Cell Carcinoma. Cancer Research. 85(10). 1857–1873. 1 indexed citations

2.

Essen, Dominic van, Laurent Grosse, Alexander Emelyanov, et al.. (2023). p16High senescence restricts cellular plasticity during somatic cell reprogramming. Nature Cell Biology. 25(9). 1265–1278. 16 indexed citations

3.

Molina, Clément, Manon Carré, Vincent Picco, et al.. (2022). Targeting of the ELR+CXCL/CXCR1/2 Pathway Is a Relevant Strategy for the Treatment of Paediatric Medulloblastomas. Cells. 11(23). 3933–3933. 4 indexed citations

4.

Grosse, Laurent, Nicole Wagner, Alexander Emelyanov, et al.. (2020). Defined p16High Senescent Cell Types Are Indispensable for Mouse Healthspan. Cell Metabolism. 32(1). 87–99.e6. 312 indexed citations breakdown →

5.

Filipponi, Doria, Alexander Emelyanov, Julius Müller, et al.. (2019). DNA Damage Signaling-Induced Cancer Cell Reprogramming as a Driver of Tumor Relapse. Molecular Cell. 74(4). 651–663.e8. 21 indexed citations

6.

Crauste, Fabien, Laurent Pujo-Menjouet, Stéphane Génieys, Clément Molina, & Olivier Gandrillon. (2007). Adding self-renewal in committed erythroid progenitors improves the biological relevance of a mathematical model of erythropoiesis. Journal of Theoretical Biology. 250(2). 322–338. 36 indexed citations

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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