A. Gansmüller

1.8k citations
30 papers · 1.4k · h-index 19

Impact in

Papers in

    • Neurogenesis and neuroplasticity mechanisms 17
    • RNA Research and Splicing 4
    • DNA and Nucleic Acid Chemistry 4
    • RNA Interference and Gene Delivery 3
    • RNA and protein synthesis mechanisms 3

A. Gansmüller

30 papers receiving 1.4k citations

Peers

A. Gansmüller
Comparison fields: 5 of 79
  • Developmental Neuroscience 619
  • Cellular and Molecular Neuroscience 543
  • Reproductive Medicine 206
  • Neurology 109
  • Genetics 117
Replace Valérie Fraulob with:
Valérie Fraulob France
Jinsuke Nishino Japan
John R. Bermingham United States
Hope O. Sweet United States
Cherie M. Southwood United States
Glenn MacLean Canada
Jeff Mann United States
Brigitte Schuhbaur France
Igor Kostetskii United States
Lisbeth S. Laursen Denmark
A. Gansmüller relative to Valérie Fraulob France Valérie Fraulob's profile →
Citations per field
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Citations per year

Countries citing papers authored by A. Gansmüller

Since Specialization
Citations

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

Fields of papers citing papers by A. Gansmüller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996268
2 1996261
3 198678
4 199275
5 199264
6 199161
7 198760
8 198855
9 198751
10 199648
11 199442
12 198941
13 199141
14 199239
15 199139
16 199337
17 198835
18 198731
19 199526
20 199016

About A. Gansmüller

A. Gansmüller is a scholar working on Developmental Neuroscience, Molecular Biology, Cellular and Molecular Neuroscience, Genetics and Neurology, having authored 30 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (17 papers), Nerve injury and regeneration (7 papers), Axon Guidance and Neuronal Signaling (4 papers), RNA Research and Splicing (4 papers), DNA and Nucleic Acid Chemistry (4 papers), RNA Interference and Gene Delivery (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Developmental Neuroscience (619 citations), Cellular and Molecular Neuroscience (543 citations), Reproductive Medicine (206 citations), Neurology (109 citations) and Genetics (117 citations). A. Gansmüller has collaborated with scholars based in France, United States and Japan. Frequent co-authors include M. Gumpel, Anne Baron‐Van Evercooren, F. Lachapelle, Didier Décimo, Nicole Baumann, Mustapha Oulad‐Abdelghani, Pascal Dollé, Yves Lutz, Philippe Bouillet and Pierre Chambon. Their work appears in journals such as Developmental Neuroscience, Glia, Biology of the Cell, Annals of the New York Academy of Sciences and European 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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