Nathalie Billon

1.9k citations
29 papers · 1.5k indexed · h-index 18
Topics
Pluripotent Stem Cells Research (6 papers)Cancer-related Molecular Pathways (5 papers)Adipose Tissue and Metabolism (4 papers)

In The Last Decade

Nathalie Billon

29 papers receiving 1.5k citations

Peers

Nathalie Billon
Comparison fields: 5 of 98
  • Molecular Biology 877
  • Physiology 276
  • Developmental Neuroscience 200
  • Genetics 195
  • Oncology 174
Replace Soo-Kyung Bae with:
Soo-Kyung Bae South Korea
David Tuil France
Carles Gaston‐Massuet United Kingdom
Motoshige Kudo Japan
Nathalie Kertesz United States
Anna Saran Italy
Kazuhiko Horigome Japan
Maha S. Zaki Egypt
Bingsheng Li China
Philip B. Daniel United States
Nathalie Billon relative to Soo-Kyung Bae South Korea Soo-Kyung Bae's profile →
Citations per field
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Soo-Kyung Bae · 1×
Citations per year

Countries citing papers authored by Nathalie Billon

Since Specialization
Citations

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

Fields of papers citing papers by Nathalie Billon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathalie Billon

This figure shows the co-authorship network connecting the top 25 collaborators of Nathalie Billon. A scholar is included among the top collaborators of Nathalie Billon 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 Nathalie Billon. Nathalie Billon 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 10
3 1
4 6
5 12
6 8
7 56
8 4
9 2
10 105
11 25
12 77
13 219
14 17
15 75
16
A dynamic switch in the replication timing of key regulator genes in embryonic stem cells upon neural induction.
87
17 93
18 126
19 100
20 127

About Nathalie Billon

Nathalie Billon is a scholar working on Developmental Neuroscience, Geriatrics and Gerontology and Genetics, having authored 29 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (6 papers), Cancer-related Molecular Pathways (5 papers) and Adipose Tissue and Metabolism (4 papers). The work is most often cited by research in Developmental Neuroscience (200 citations), Genetics (172 citations) and Molecular Biology (877 citations). Nathalie Billon has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Christian Dani, Martin Raff, Miguel Caetano Monteiro, William D. Richardson, Brian B. Rudkin, Leo A. van Grunsven, Christine Jolicoeur, Palma Iannarelli, Nicoletta Kessaris and Élisabeth Dupin. Their work appears in journals such as Journal of Neuroscience, The EMBO Journal and Development.

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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