Caroline Perner

1.0k citations
13 papers · 641 · h-index 10

Impact in

    • Allergic Rhinitis and Sensitization
  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Traumatic Brain Injury and Neurovascular Disturbances

Papers in

Caroline Perner

13 papers receiving 637 citations

Peers

Caroline Perner
Comparison fields: 5 of 85
  • Immunology and Allergy 65
  • Neurology 83
  • Dermatology 83
  • Genetics 97
  • Sensory Systems 38
Replace Yuya Yoshida with:
Yuya Yoshida Japan
Pingting Yang China
Emma L. Braine Australia
Alexandra Taracanova United States
Jula Huppert Germany
Hyunjung Min South Korea
Anita Chamba United Kingdom
Andre Ghetti United States
Stevan Shaw United Kingdom
Mieke Timmers Netherlands
Caroline Perner relative to Yuya Yoshida Japan Yuya Yoshida's profile →
Citations per field
00.5×3.6×
Yuya Yoshida · 1×
Citations per year

Countries citing papers authored by Caroline Perner

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Perner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2020181
2 2019167
3 201976
4 202173
5 202132
6 202025
7 201822
8 202220
9 202117
10 201912
11 20228
12 20207
13 20251

About Caroline Perner

Caroline Perner is a scholar working on Molecular Biology, Physiology, Dermatology, Neurology and Immunology, having authored 13 papers that have together received 641 indexed citations. Recurring topics across this work include Dermatology and Skin Diseases (3 papers), Allergic Rhinitis and Sensitization (2 papers), Asthma and respiratory diseases (2 papers), Immune Cell Function and Interaction (2 papers), Pain Mechanisms and Treatments (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Mast cells and histamine (1 paper) and Child Nutrition and Feeding Issues (1 paper). The work is most often cited by research in Immunology and Allergy (65 citations), Neurology (83 citations), Dermatology (83 citations), Genetics (97 citations) and Sensory Systems (38 citations). Caroline Perner has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Caroline L. Sokol, Florian Perner, Florian H. Heidel, Thomas Ernst, Isaac M. Chiu, Tiphaine Voisin, Cameron H. Flayer, Xueping Zhu, Ryan B. Camire and Ohn A. Chow. Their work appears in journals such as Molecular Pain, Patient Preference and Adherence, Frontiers in Aging Neuroscience, Cells and Immunology and Cell 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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