Jérôme Mertens

7.3k total citations · 4 hit papers
39 papers, 4.0k citations indexed

About

Jérôme Mertens is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Jérôme Mertens has authored 39 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 13 papers in Cellular and Molecular Neuroscience and 11 papers in Physiology. Recurrent topics in Jérôme Mertens's work include Pluripotent Stem Cells Research (21 papers), CRISPR and Genetic Engineering (10 papers) and Neuroscience and Neural Engineering (8 papers). Jérôme Mertens is often cited by papers focused on Pluripotent Stem Cells Research (21 papers), CRISPR and Genetic Engineering (10 papers) and Neuroscience and Neural Engineering (8 papers). Jérôme Mertens collaborates with scholars based in United States, Germany and Austria. Jérôme Mertens's co-authors include Fred H. Gage, Yongsung Kim, Joseph R. Herdy, Robert T. Dell’Orco, Paul F. Kruse, Cédric Bardy, Maria C. Marchetto, Leah Boyer, Philipp Koch and Michael Hamm and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Jérôme Mertens

39 papers receiving 3.9k citations

Hit Papers

Directly Reprogrammed Human Neurons Retain Aging-Associat... 2015 2026 2018 2022 2015 2016 2015 2024 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jérôme Mertens United States 24 2.9k 1.0k 772 589 550 39 4.0k
Wado Akamatsu Japan 35 2.6k 0.9× 929 0.9× 484 0.6× 481 0.8× 597 1.1× 89 3.7k
Yosif Ganat United States 17 3.3k 1.1× 1.6k 1.6× 493 0.6× 425 0.7× 1.0k 1.9× 19 4.4k
Michael Peitz Germany 25 2.6k 0.9× 889 0.9× 617 0.8× 164 0.3× 413 0.8× 57 3.7k
Oliver Cooper United States 19 2.6k 0.9× 1.5k 1.4× 468 0.6× 686 1.2× 712 1.3× 25 3.4k
Gregorio Valdez United States 25 2.0k 0.7× 1.0k 1.0× 508 0.7× 552 0.9× 231 0.4× 52 3.0k
Oliver Brüstle Germany 34 3.1k 1.0× 1.4k 1.3× 437 0.6× 239 0.4× 1.7k 3.0× 77 4.8k
Toshiyuki Araki Japan 33 2.7k 0.9× 2.2k 2.1× 698 0.9× 529 0.9× 757 1.4× 94 5.6k
Henrik Ahlenius Sweden 24 3.1k 1.1× 1.4k 1.4× 514 0.7× 223 0.4× 1.8k 3.3× 46 5.7k
Michela Deleidi Germany 24 1.6k 0.6× 909 0.9× 722 0.9× 723 1.2× 537 1.0× 40 3.1k
Mi‐Yoon Chang South Korea 30 2.9k 1.0× 1.2k 1.2× 437 0.6× 235 0.4× 607 1.1× 55 3.8k

Countries citing papers authored by Jérôme Mertens

Since Specialization
Citations

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

Fields of papers citing papers by Jérôme Mertens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jérôme Mertens

This figure shows the co-authorship network connecting the top 25 collaborators of Jérôme Mertens. A scholar is included among the top collaborators of Jérôme Mertens 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 Jérôme Mertens. Jérôme Mertens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Traxler, Larissa, et al.. (2024). All roads lead to cholesterol: Modulating lipid biosynthesis in multiple sclerosis patient-derived models. Cell stem cell. 31(11). 1551–1552. 1 indexed citations
2.
Pitrez, Patrícia R., et al.. (2024). Cellular reprogramming as a tool to model human aging in a dish. Nature Communications. 15(1). 1816–1816. 22 indexed citations
3.
Fuente, Alerie Guzman de la, Silvia Pelucchi, Jérôme Mertens, et al.. (2023). Novel therapeutic approaches to target neurodegeneration. British Journal of Pharmacology. 180(13). 1651–1673. 16 indexed citations
4.
Gentzel, Marc, Silvia Pelucchi, Jérôme Mertens, et al.. (2023). Obatoclax Rescues FUS-ALS Phenotypes in iPSC-Derived Neurons by Inducing Autophagy. Cells. 12(18). 2247–2247. 2 indexed citations
5.
Traxler, Larissa, Raffaella Lucciola, Joseph R. Herdy, et al.. (2023). Neural cell state shifts and fate loss in ageing and age-related diseases. Nature Reviews Neurology. 19(7). 434–443. 10 indexed citations
6.
Böhnke, Lena, Silvia Pelucchi, Joseph R. Herdy, et al.. (2022). Chemical Replacement of Noggin with Dorsomorphin Homolog 1 for Cost-Effective Direct Neuronal Conversion. Cellular Reprogramming. 24(5). 304–313. 2 indexed citations
7.
Böhnke, Lena, et al.. (2021). Direct Conversion of Human Fibroblasts to Induced Neurons. Methods in molecular biology. 2352. 73–96. 9 indexed citations
8.
Schlachetzki, Johannes C. M., Tomohisa Toda, & Jérôme Mertens. (2020). When function follows form: Nuclear compartment structure and the epigenetic landscape of the aging neuron. Experimental Gerontology. 133. 110876–110876. 11 indexed citations
9.
Mertens, Jérôme, et al.. (2019). Take the shortcut – direct conversion of somatic cells into induced neural stem cells and their biomedical applications. FEBS Letters. 593(23). 3353–3369. 23 indexed citations
10.
Traxler, Larissa, Frank Edenhofer, & Jérôme Mertens. (2019). Next‐generation disease modeling with direct conversion: a new path to old neurons. FEBS Letters. 593(23). 3316–3337. 38 indexed citations
11.
Herdy, Joseph R., Simon T. Schafer, Yongsung Kim, et al.. (2019). Chemical modulation of transcriptionally enriched signaling pathways to optimize the conversion of fibroblasts into neurons. eLife. 8. 36 indexed citations
12.
Schafer, Simon T., Apuã C.M. Paquola, Shani Stern, et al.. (2019). Pathological priming causes developmental gene network heterochronicity in autistic subject-derived neurons. Nature Neuroscience. 22(2). 243–255. 168 indexed citations
13.
Toda, Tomohisa, Jonathan Y. Hsu, Sara B. Linker, et al.. (2017). Nup153 Interacts with Sox2 to Enable Bimodal Gene Regulation and Maintenance of Neural Progenitor Cells. Cell stem cell. 21(5). 618–634.e7. 90 indexed citations
14.
Mertens, Jérôme, Maria C. Marchetto, Cédric Bardy, & Fred H. Gage. (2016). Evaluating cell reprogramming, differentiation and conversion technologies in neuroscience. Nature reviews. Neuroscience. 17(7). 424–437. 224 indexed citations
15.
Bardy, Cédric, Mark van den Hurk, Tameji Eames, et al.. (2015). Neuronal medium that supports basic synaptic functions and activity of human neurons in vitro. Proceedings of the National Academy of Sciences. 112(20). E2725–34. 268 indexed citations
16.
Vadodaria, Krishna C., Jérôme Mertens, Apuã C.M. Paquola, et al.. (2015). Generation of functional human serotonergic neurons from fibroblasts. Molecular Psychiatry. 21(1). 49–61. 100 indexed citations
17.
Mertens, Jérôme, Apuã C.M. Paquola, Manching Ku, et al.. (2015). Directly Reprogrammed Human Neurons Retain Aging-Associated Transcriptomic Signatures and Reveal Age-Related Nucleocytoplasmic Defects. Cell stem cell. 17(6). 705–718. 517 indexed citations breakdown →
18.
Vadodaria, Krishna C., Jérôme Mertens, Apuã C.M. Paquola, et al.. (2015). The different moods of human serotonergic neurons. Molecular Psychiatry. 21(1). 3–3. 1 indexed citations
19.
Mertens, Jérôme, Patrick Wunderlich, Julia Ladewig, et al.. (2013). APP Processing in Human Pluripotent Stem Cell-Derived Neurons Is Resistant to NSAID-Based γ-Secretase Modulation. Stem Cell Reports. 1(6). 491–498. 45 indexed citations
20.
Ladewig, Julia, Jérôme Mertens, Jaideep Kesavan, et al.. (2012). Small molecules enable highly efficient neuronal conversion of human fibroblasts. Nature Methods. 9(6). 575–578. 259 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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