Jérôme Mertens

7.3k citations
39 papers · 4.0k indexed · 4 hit papers · h-index 24
Topics
Pluripotent Stem Cells Research (21 papers)CRISPR and Genetic Engineering (10 papers)Neuroscience and Neural Engineering (8 papers)

In The Last Decade

Jérôme Mertens

39 papers receiving 3.9k citations

Hit Papers

Directly Reprogrammed Human Neurons Retain Aging-Associat...20152026201820222015201620152024100200300400500

Peers

Jérôme Mertens
Comparison fields: 5 of 108
  • Molecular Biology 2.9k
  • Cellular and Molecular Neuroscience 1.0k
  • Physiology 772
  • Neurology 589
  • Developmental Neuroscience 550
Replace Toshiyuki Araki with:
Toshiyuki Araki Japan
Wado Akamatsu Japan
Yosif Ganat United States
Michael Peitz Germany
Jonathan Gilley United Kingdom
Sarah E. Newey United Kingdom
Albrecht M. Clement Germany
Henrik Ahlenius Sweden
Oliver Brüstle Germany
Michela Deleidi Germany
Jérôme Mertens relative to Toshiyuki Araki Japan Toshiyuki Araki's profile →
Citations per field
00.5×1.5×1.8×
Toshiyuki Araki · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 22
3 16
4 2
5 10
6 2
7 9
8 11
9 23
10 38
11 36
12 168
13 90
14 224
15 268
16 100
17
Directly Reprogrammed Human Neurons Retain Aging-Associated Transcriptomic Signatures and Reveal Age-Related Nucleocytoplasmic Defectsbreakdown →
517
18 1
19 45
20 259

About Jérôme Mertens

Jérôme Mertens is a scholar working on Developmental Neuroscience, Aging and Cellular and Molecular Neuroscience, having authored 39 papers that have together received 4.0k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (21 papers), CRISPR and Genetic Engineering (10 papers) and Neuroscience and Neural Engineering (8 papers). The work is most often cited by research in Aging (236 citations), Developmental Neuroscience (550 citations) and Cellular and Molecular Neuroscience (1.0k citations). Jérôme Mertens has collaborated with scholars based in United States, Germany and Austria. Frequent 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. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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