Laetitia Mazelin

2.0k citations
15 papers · 1.3k indexed · h-index 15
Topics
Hedgehog Signaling Pathway Studies (6 papers)Axon Guidance and Neuronal Signaling (6 papers)Hippo pathway signaling and YAP/TAZ (4 papers)

In The Last Decade

Laetitia Mazelin

15 papers receiving 1.3k citations

Peers

Laetitia Mazelin
Comparison fields: 5 of 86
  • Molecular Biology 962
  • Cellular and Molecular Neuroscience 515
  • Cell Biology 308
  • Oncology 167
  • Physiology 117
Replace Mitsuharu Endo with:
Mitsuharu Endo Japan
Agnès Bernet France
Fréderic Larrieu-Lahargue United States
Bingsheng Li China
Michael R. Douglas United Kingdom
Shuji Wakatsuki Japan
Julio Castaño Spain
Mei-Yao Lin United States
Jong-Sun Kang South Korea
Hirofumi Kusaka Japan
Laetitia Mazelin relative to Mitsuharu Endo Japan Mitsuharu Endo's profile →
Citations per field
00.5×1.5×
Mitsuharu Endo · 1×
Citations per year

Countries citing papers authored by Laetitia Mazelin

Since Specialization
Citations

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

Fields of papers citing papers by Laetitia Mazelin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laetitia Mazelin

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 23
2 25
3 40
4 25
5 40
6 107
7 80
8 28
9 36
10 103
11 238
12 59
13 89
14 163
15 252

About Laetitia Mazelin

Laetitia Mazelin is a scholar working on Cellular and Molecular Neuroscience, Cell Biology and Molecular Biology, having authored 15 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (6 papers), Axon Guidance and Neuronal Signaling (6 papers) and Hippo pathway signaling and YAP/TAZ (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (515 citations), Developmental Neuroscience (79 citations) and Cell Biology (308 citations). Laetitia Mazelin has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Patrick Mehlen, Jean‐Yves Scoazec, Agnès Bernet, Laurent Pays, Françoise Lapointe, Nicole M. Le Douarin, Chantal Thibert, Marie‐Aimée Teillet, Dale E. Bredesen and Christelle Bonod‐Bidaud. 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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