Jordane Dimidschstein

3.5k citations
22 papers · 1.2k · h-index 15

Impact in

Papers in

Jordane Dimidschstein

22 papers receiving 1.2k citations

Peers

Jordane Dimidschstein
Comparison fields: 5 of 80
  • Developmental Neuroscience 357
  • Cellular and Molecular Neuroscience 510
  • Cognitive Neuroscience 330
  • Molecular Biology 682
  • Neurology 66
Replace Ivan Galimberti with:
Ivan Galimberti Switzerland
Vera Valakh United States
Masaaki Torii United States
Noriaki Ohkawa Japan
Ingo Bormuth Germany
Jessica L. MacDonald United States
Cindy W. Tom United States
Lori Redmond United States
Nathalie Dehorter Australia
Željka Krsnik Croatia
Jordane Dimidschstein relative to Ivan Galimberti Switzerland Ivan Galimberti's profile →
Citations per field
00.5×3.6×
Ivan Galimberti · 1×
Citations per year

Countries citing papers authored by Jordane Dimidschstein

Since Specialization
Citations

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

Fields of papers citing papers by Jordane Dimidschstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jordane Dimidschstein, 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 Jordane Dimidschstein Line = papers co-authored together Jordane Dimidschstein links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008489
2 2020129
3 2014109
4 2012100
5 202175
6 201355
7 201753
8 202030
9 202028
10 202226
11 202325
12 201824
13 201923
14 202019
15 202217
16 20239
17 20229
18 20114
19 20243
20 20243

About Jordane Dimidschstein

Jordane Dimidschstein is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Developmental Neuroscience and Neurology, having authored 22 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (12 papers), Neural dynamics and brain function (9 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Memory and Neural Mechanisms (3 papers), Axon Guidance and Neuronal Signaling (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Neuroscience and Neural Engineering (2 papers) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Developmental Neuroscience (357 citations), Cellular and Molecular Neuroscience (510 citations), Cognitive Neuroscience (330 citations), Molecular Biology (682 citations) and Neurology (66 citations). Jordane Dimidschstein has collaborated with scholars based in United States, Belgium and United Arab Emirates. Frequent co-authors include Jelle van den Ameele, Pierre Vanderhaeghen, Tristan Bouschet, Adèle Herpoel, Lara Passante, Raphaël Hourez, Ira Espuny-Camacho, Afsaneh Gaillard, Serge N. Schiffmann and Gilles Naeije. Their work appears in journals such as Neuron, eLife, Nature Neuroscience, Nature and Journal of Neuroscience.

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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