Daniela Höller

701 citations
11 papers · 563 indexed · h-index 10

Impact in

    • Cancer and Skin Lesions
    • Contact Dermatitis and Allergies
    • Dermatology and Skin Diseases
    • Advancements in Transdermal Drug Delivery

Papers in

    • Nicotinic Acetylcholine Receptors Study 2
    • Genetic Associations and Epidemiology 2
    • Genetic Mapping and Diversity in Plants and Animals 2
    • Genetic and phenotypic traits in livestock 2

Daniela Höller

11 papers receiving 548 citations

Peers

Daniela Höller
Comparison fields: 5 of 88
  • Dermatology 138
  • Pharmaceutical Science 40
  • Pharmacology 49
  • Cell Biology 82
  • Immunology and Allergy 27
Replace Stephanie Kadow with:
Stephanie Kadow Germany
Sharon Epstein Switzerland
Stefano Jaconi Switzerland
Hila Emmert Germany
Joan M. Spellman United States
Daniel P. Weingarten United States
Takashi Naganawa Japan
W. Eechaute Belgium
F. Steckel Germany
Claude Labrie Canada
Daniela Höller relative to Stephanie Kadow Germany Stephanie Kadow's profile →
Citations per field
00.5×
Stephanie Kadow · 1×
Citations per year

Countries citing papers authored by Daniela Höller

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Höller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2001185
2 2004103
3 200271
4 200365
5 200437
6 201527
7 201124
8 201121
9 201019
10 199910
11 20151

About Daniela Höller

Daniela Höller is a scholar working on Molecular Biology, Genetics, Oncology, Cell Biology and Physiology, having authored 11 papers that have together received 563 indexed citations. Recurring topics across this work include Smoking Behavior and Cessation (2 papers), Genetic Associations and Epidemiology (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Genetic and phenotypic traits in livestock (2 papers), Nicotinic Acetylcholine Receptors Study (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Cellular transport and secretion (2 papers) and Bee Products Chemical Analysis (1 paper). The work is most often cited by research in Dermatology (138 citations), Pharmaceutical Science (40 citations), Pharmacology (49 citations), Cell Biology (82 citations) and Immunology and Allergy (27 citations). Daniela Höller has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Hans F. Merk, Frank K. Jugert, Jens Malte Baron, Mark M. Neis, Ruth Schiffer, Ivan Đikić, Krešimir Pavelić, Pietro De Camilli, Dianne S. Hirsch and Katarzyna Kowanetz. Their work appears in journals such as Journal of Investigative Dermatology, Addiction Biology, Molecular Biology of the Cell, Genetics Selection Evolution and Plastic & Reconstructive Surgery.

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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