Karin Pernet‐Gallay

3.7k citations
42 papers · 2.3k indexed · h-index 24
Topics
Cellular transport and secretion (7 papers)Nanoparticles: synthesis and applications (5 papers)Neuroscience and Neuropharmacology Research (5 papers)

In The Last Decade

Karin Pernet‐Gallay

42 papers receiving 2.2k citations

Peers

Karin Pernet‐Gallay
Comparison fields: 5 of 120
  • Molecular Biology 1.2k
  • Cancer Research 430
  • Cell Biology 352
  • Public Health, Environmental and Occupational Health 265
  • Reproductive Medicine 252
Replace Fiona J. Hemming with:
Fiona J. Hemming France
Wei Cao China
Lorenzo A. Orci Switzerland
Zhengping Xu China
C. Pellicciari Italy
Kyoko Itoh Japan
Haruo Hagiwara Japan
Tian Yu China
Yoji Hakamata Japan
Haiwen Chen China
Karin Pernet‐Gallay relative to Fiona J. Hemming France Fiona J. Hemming's profile →
Citations per field
00.5×3.7×
Fiona J. Hemming · 1×
Citations per year

Countries citing papers authored by Karin Pernet‐Gallay

Since Specialization
Citations

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

Fields of papers citing papers by Karin Pernet‐Gallay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karin Pernet‐Gallay

This figure shows the co-authorship network connecting the top 25 collaborators of Karin Pernet‐Gallay. A scholar is included among the top collaborators of Karin Pernet‐Gallay based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Karin Pernet‐Gallay. Karin Pernet‐Gallay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 64
3 26
4 15
5 23
6 46
7 10
8 19
9 19
10 70
11 18
12 11
13 27
14 71
15 12
16 21
17 178
18 132
19 59
20 49

About Karin Pernet‐Gallay

Karin Pernet‐Gallay is a scholar working on Structural Biology, Cell Biology and Reproductive Medicine, having authored 42 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cellular transport and secretion (7 papers), Nanoparticles: synthesis and applications (5 papers) and Neuroscience and Neuropharmacology Research (5 papers). The work is most often cited by research in Reproductive Medicine (252 citations), Cancer Research (430 citations) and Structural Biology (32 citations). Karin Pernet‐Gallay has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Rémy Sadoul, Fiona J. Hemming, Mathilde Chivet, Béatrice Blot, Yves Goldberg, Sandrine Fraboulet, Agnès Belly, Georg Haase, Julie Delaroche and Bruno Goud. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation 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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