A. Gansmüller

1.8k citations
36 papers · 1.6k · h-index 19

Impact in

Papers in

A. Gansmüller

35 papers receiving 1.5k citations

Peers

A. Gansmüller
Comparison fields: 5 of 81
  • Developmental Neuroscience 728
  • Cellular and Molecular Neuroscience 630
  • Reproductive Medicine 227
  • Neurology 124
  • Genetics 129
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
Jeff Mann United States
Brigitte Schuhbaur France
Glenn MacLean Canada
Lisbeth S. Laursen Denmark
Igor Kostetskii United States
A. Gansmüller relative to Valérie Fraulob France Valérie Fraulob's profile →
Citations per field
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Valérie Fraulob · 1×
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 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996283
2 1996282
3 199290
4 198680
5 198771
6 199167
7 198867
8 199265
9 198762
10 199656
11 198952
12 199447
13 199146
14 199244
15 199340
16 199139
17 198839
18 198732
19 199530
20 199017

About A. Gansmüller

A. Gansmüller is a scholar working on Developmental Neuroscience, Molecular Biology, Cellular and Molecular Neuroscience, Neurology and Genetics, having authored 36 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (22 papers), Nerve injury and regeneration (8 papers), Axon Guidance and Neuronal Signaling (6 papers), RNA Research and Splicing (4 papers), DNA and Nucleic Acid Chemistry (4 papers), MicroRNA in disease regulation (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Developmental Neuroscience (728 citations), Cellular and Molecular Neuroscience (630 citations), Reproductive Medicine (227 citations), Neurology (124 citations) and Genetics (129 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, Olivier Gout, Mustapha Oulad‐Abdelghani, Philippe Bouillet, Pascal Dollé and Pierre Chambon. Their work appears in journals such as Glia, Developmental Neuroscience, European Journal of Neuroscience, Biology of the Cell and Annals of the New York 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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