Ute Laggner

2.1k total citations
15 papers, 1.6k citations indexed

About

Ute Laggner is a scholar working on Immunology, Pathology and Forensic Medicine and Dermatology. According to data from OpenAlex, Ute Laggner has authored 15 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 4 papers in Pathology and Forensic Medicine and 3 papers in Dermatology. Recurrent topics in Ute Laggner's work include Psoriasis: Treatment and Pathogenesis (5 papers), T-cell and B-cell Immunology (4 papers) and Dermatology and Skin Diseases (3 papers). Ute Laggner is often cited by papers focused on Psoriasis: Treatment and Pathogenesis (5 papers), T-cell and B-cell Immunology (4 papers) and Dermatology and Skin Diseases (3 papers). Ute Laggner collaborates with scholars based in United Kingdom, Austria and United States. Ute Laggner's co-authors include Frank O. Nestlé, Paola Di Meglio, Brian J. Nickoloff, Curdin Conrad, G Tonel, Herbert Budka, Martin Ploder, Andreas Spittler, Erich Roth and Kambis Sadeghi and has published in prestigious journals such as Nature Medicine, The Journal of Immunology and PLoS ONE.

In The Last Decade

Ute Laggner

14 papers receiving 1.6k citations

Peers

Ute Laggner
Comparison fields: 5 of 86
  • Immunology 925
  • Pathology and Forensic Medicine 420
  • Dermatology 380
  • Molecular Biology 239
  • Physiology 233
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Britt Nakken Norway
Emmanuel Xystrakis United Kingdom
Eve Hornsby United Kingdom
Kristina M. Harris United States
Edit Gyimesi Hungary
Laxmisha Chandrashekar India
Paolo Fabbri Italy
Sujata Sarkar United States
Ming-Shi Chang Taiwan
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Citations per field, relative to Ute Laggner
Ute Laggner · 1×
Citations per year, relative to Ute Laggner
Ute Laggner · 1×

Countries citing papers authored by Ute Laggner

Since Specialization
Citations

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

Fields of papers citing papers by Ute Laggner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ute Laggner

This figure shows the co-authorship network connecting the top 25 collaborators of Ute Laggner. A scholar is included among the top collaborators of Ute Laggner 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 Ute Laggner. Ute Laggner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 30
2 0
3 22
4 209
5 6
6 269
7
Identification of a novel pro-inflammatory human skin-homing V gamma 9V delta 2 T cell subset and its role in the pathogenesis of psoriasis
2
8 179
9 23
10 2
11 210
12 420
13 114
14 41
15 105

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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2026