Frank Gillardon

5.6k citations
102 papers · 4.9k · h-index 37

Impact in

Papers in

Frank Gillardon

102 papers receiving 4.8k citations

Peers

Frank Gillardon
Comparison fields: 5 of 121
  • Neurology 1.6k
  • Neurology 760
  • Developmental Neuroscience 330
  • Cellular and Molecular Neuroscience 1.5k
  • Physiology 1.1k
Replace Reidun Torp with:
Reidun Torp Norway
Hidemi Misawa Japan
Marina Pizzi Italy
Dagmar Galter Sweden
Jeremy B. Tuttle United States
Yijuang Chern Taiwan
Lars P. Klimaschewski Austria
Domenico Del Turco Germany
Rita Sattler United States
Hyemyung Seo South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Frank Gillardon

Since Specialization
Citations

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

Fields of papers citing papers by Frank Gillardon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007444
2 1996210
3 2009194
4 1999186
5 2012178
6 1995166
7 2015156
8 1995148
9 1997134
10 2007125
11 199996
12 199995
13 200594
14 199686
15 199979
16 199578
17 199977
18 201077
19 199774
20 199571

About Frank Gillardon

Frank Gillardon is a scholar working on Cellular and Molecular Neuroscience, Neurology, Molecular Biology, Neurology and Developmental Neuroscience, having authored 102 papers that have together received 4.9k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (25 papers), Neuroscience and Neuropharmacology Research (19 papers), Cell death mechanisms and regulation (14 papers), Mitochondrial Function and Pathology (13 papers), Alzheimer's disease research and treatments (10 papers), Cancer, Stress, Anesthesia, and Immune Response (9 papers), Nerve injury and regeneration (8 papers) and Nuclear Receptors and Signaling (6 papers). The work is most often cited by research in Neurology (1.6k citations), Neurology (760 citations), Developmental Neuroscience (330 citations), Cellular and Molecular Neuroscience (1.5k citations) and Physiology (1.1k citations). Frank Gillardon has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Manfred Zimmermann, Hannes Wickert, Bastian Hengerer, Konstantin‐Alexander Hossmann, Justus Benrath, David G. Campbell, R. Jeremy Nichols, Mária Deák, Axel Knebel and Dario R. Alessi. Their work appears in journals such as Neuroscience, PLoS ONE, Journal of Neurochemistry, European Journal of Neuroscience and Brain Research.

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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