Peter Kernen

1.4k citations
29 papers · 1.3k · h-index 19

Impact in

    • Cell Adhesion Molecules Research
  • Immunology top 10%
    • Immune Response and Inflammation
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms

Papers in

Peter Kernen

29 papers receiving 1.2k citations

Peers

Peter Kernen
Comparison fields: 5 of 100
  • Immunology and Allergy 178
  • Immunology 340
  • Molecular Biology 612
  • Biochemistry 52
  • Microbiology 47
Replace Walter D. Niles with:
Walter D. Niles United States
Mario Brameshuber Austria
Doncho V. Zhelev United States
Takaaki Hiragun Japan
Yuhki Yanase Japan
Irena Levitan United States
Camilo Aponte‐Santamaría Germany
Ying‐Xin Fan China
Stéphanie Baud France
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Citations per field
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Walter D. Niles · 1×
Citations per year

Countries citing papers authored by Peter Kernen

Since Specialization
Citations

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

Fields of papers citing papers by Peter Kernen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988272
2 1996183
3 1991101
4 199079
5 198958
6 199455
7
Organization of antibiotic amphotericin B in model lipid membranes. A mini review.
200355
8 199951
9 200244
10 200144
11 199433
12 199630
13 199929
14 198729
15 200927
16 199825
17 199725
18 199822
19 199218
20 200017

About Peter Kernen

Peter Kernen is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics, Immunology, Cellular and Molecular Neuroscience and Physiology, having authored 29 papers that have together received 1.3k indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (8 papers), Force Microscopy Techniques and Applications (7 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (7 papers), Lipid Membrane Structure and Behavior (7 papers), Spectroscopy and Quantum Chemical Studies (6 papers), Molecular Junctions and Nanostructures (5 papers), Photoreceptor and optogenetics research (4 papers) and Nitric Oxide and Endothelin Effects (3 papers). The work is most often cited by research in Immunology and Allergy (178 citations), Immunology (340 citations), Molecular Biology (612 citations), Biochemistry (52 citations) and Microbiology (47 citations). Peter Kernen has collaborated with scholars based in Switzerland, Poland and United States. Frequent co-authors include Marco Baggiolini, Wiesław I. Gruszecki, Vinzenz von Tscharner, Giorgio Semenza, Martin Hegner, David A. Deranleau, Matthias P. Wymann, Alfred Walz, Marcus Thelen and P Peveri. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Bioenergetics, FEBS Letters, Journal of Biological Chemistry, Photosynthesis Research and Journal of Photochemistry and Photobiology B Biology.

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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