Karin Pernold

1.1k citations
19 papers · 837 · h-index 11

Impact in

Papers in

Karin Pernold

19 papers receiving 826 citations

Peers

Karin Pernold
Comparison fields: 5 of 93
  • Developmental Neuroscience 79
  • Cellular and Molecular Neuroscience 285
  • Neurology 85
  • Aging 19
  • Neurology 141
Replace Gianluca Fulgenzi with:
Gianluca Fulgenzi Italy
Shane V. Hegarty Ireland
Kevin S. Chen United States
Claudia Beatriz Hereñú Argentina
Yisheng Lu China
Michelle Apperson United States
Xiaoting Wang China
Matylda Macias Poland
Lidia Yshii Brazil
Roza Lagoudaki Greece
Karin Pernold relative to Gianluca Fulgenzi Italy Gianluca Fulgenzi's profile →
Citations per field
00.5×3.7×
Gianluca Fulgenzi · 1×
Citations per year

Countries citing papers authored by Karin Pernold

Since Specialization
Citations

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

Fields of papers citing papers by Karin Pernold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2010231
2 2009119
3 2007104
4 200990
5 201964
6 200742
7 200834
8 201431
9 201931
10 202123
11 200418
12 202210
13 20109
14 20119
15 20148
16 20126
17 20234
18 20073
19 20241

About Karin Pernold

Karin Pernold is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Neurology, Pathology and Forensic Medicine and Small Animals, having authored 19 papers that have together received 837 indexed citations. Recurring topics across this work include Nerve injury and regeneration (5 papers), Parkinson's Disease Mechanisms and Treatments (5 papers), Spinal Cord Injury Research (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Pharmacological Effects and Assays (2 papers) and Nuclear Receptors and Signaling (2 papers). The work is most often cited by research in Developmental Neuroscience (79 citations), Cellular and Molecular Neuroscience (285 citations), Neurology (85 citations), Aging (19 citations) and Neurology (141 citations). Karin Pernold has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Linus Olson, Matthias Erschbamer, Barry J. Hoffer, Ján Kehr, Nils‐Göran Larsson, Stefan Brené, Brun Ulfhake, Mathew Abrams, Dagmar Galter and Michel Goiny. Their work appears in journals such as PLoS ONE, Behavioural Brain Research, Restorative Neurology and Neuroscience, Animals and Genes Brain & Behavior.

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.

Explore authors with similar magnitude of impact