Jean-Marc Lemaı̂tre

3.7k citations
68 papers · 2.5k indexed · h-index 27
Topics
DNA Repair Mechanisms (20 papers)Pluripotent Stem Cells Research (19 papers)Genomics and Chromatin Dynamics (16 papers)

In The Last Decade

Jean-Marc Lemaı̂tre

63 papers receiving 2.5k citations

Peers

Jean-Marc Lemaı̂tre
Comparison fields: 5 of 104
  • Molecular Biology 2.0k
  • Physiology 278
  • Public Health, Environmental and Occupational Health 261
  • Cancer Research 257
  • Cell Biology 216
Replace Tomoaki Hishida with:
Tomoaki Hishida Japan
Shinji Masui Japan
Rosa M. Marión Spain
Thorold W. Theunissen United States
Yijie Gao China
G. Grant Welstead United States
Jaime A. Rivera‐Pérez United States
Mira Jeong United States
Klaas W. Mulder Netherlands
Carlos‐Filipe Pereira Portugal
Jean-Marc Lemaı̂tre relative to Tomoaki Hishida Japan Tomoaki Hishida's profile →
Citations per field
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Tomoaki Hishida · 1×
Citations per year

Countries citing papers authored by Jean-Marc Lemaı̂tre

Since Specialization
Citations

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

Fields of papers citing papers by Jean-Marc Lemaı̂tre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean-Marc Lemaı̂tre. 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 Jean-Marc Lemaı̂tre. The network helps show where Jean-Marc Lemaı̂tre may publish in the future.

Co-authorship network of co-authors of Jean-Marc Lemaı̂tre

This figure shows the co-authorship network connecting the top 25 collaborators of Jean-Marc Lemaı̂tre. A scholar is included among the top collaborators of Jean-Marc Lemaı̂tre 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 Jean-Marc Lemaı̂tre. Jean-Marc Lemaı̂tre 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 7
2 0
3 0
4 12
5 35
6 1
7 66
8 63
9 26
10 65
11 5
12 3
13 39
14 9
15 398
16 79
17 2
18 14
19 2
20 61

About Jean-Marc Lemaı̂tre

Jean-Marc Lemaı̂tre is a scholar working on Aging, Molecular Biology and Physiology, having authored 68 papers that have together received 2.5k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (20 papers), Pluripotent Stem Cells Research (19 papers) and Genomics and Chromatin Dynamics (16 papers). The work is most often cited by research in Aging (121 citations), Molecular Biology (2.0k citations) and Cancer Research (257 citations). Jean-Marc Lemaı̂tre has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Marcel Méchali, Emilie Besnard, Ollivier Milhavet, Laure Lapasset, John De Vos, Alexandre Prieur, Jean‐Marie Ramirez, Franck Pellestor, Hugues Parrinello and Jean‐Michel Marin. Their work appears in journals such as Nature, Cell 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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