Isabelle Bar

37 papers receiving 1.7k citations

Peers

Isabelle Bar
Comparison fields: 5 of 95
  • Developmental Neuroscience 482
  • Cellular and Molecular Neuroscience 508
  • Physiology 112
  • Reproductive Medicine 139
  • Genetics 432
Replace Brian G. Condie with:
Brian G. Condie United States
Sing-Ping Huang United States
Kathy Kampf United States
Tanja Vogel Germany
Francesca Ciccolini Germany
Friedrich Propst Austria
A. T. Campagnoni United States
Hans‐Martin Pogoda Germany
Daniel J. Belliveau Canada
Jinsuke Nishino Japan
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Citations per field
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Citations per year

Countries citing papers authored by Isabelle Bar

Since Specialization
Citations

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

Fields of papers citing papers by Isabelle Bar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Isabelle Bar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Isabelle Bar Line = papers co-authored together Isabelle Bar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004263
2 2005196
3 2008141
4 1999131
5 2008127
6 2020118
7 200077
8 199567
9 199950
10 199949
11 200049
12 201245
13 199737
14 200337
15 201430
16 199930
17 201728
18 199526
19 201822
20 201618

About Isabelle Bar

Isabelle Bar is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Developmental Neuroscience, Oncology and Cancer Research, having authored 37 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (13 papers), Axon Guidance and Neuronal Signaling (8 papers), MicroRNA in disease regulation (4 papers), Developmental Biology and Gene Regulation (4 papers), Plant Molecular Biology Research (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Cancer Genomics and Diagnostics (3 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers). The work is most often cited by research in Developmental Neuroscience (482 citations), Cellular and Molecular Neuroscience (508 citations), Physiology (112 citations), Reproductive Medicine (139 citations) and Genetics (432 citations). Isabelle Bar has collaborated with scholars based in Belgium, France and United States. Frequent co-authors include André M. Goffinet, Catherine Lambert de Rouvroit, Fadel Tissir, Olivier De Backer, Ryohei Sekido, Verónica Narváez‐Padilla, Robin Lovell‐Badge, Yves Jossin, B. Bernier and Yves Eeckhout. Their work appears in journals such as Annals of Oncology, The Journal of Comparative Neurology, Breast Cancer Research, Genomics and Pflügers Archiv - European Journal of Physiology.

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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