Katja Bieber

4.0k citations
93 papers · 2.1k indexed · 2 hit papers · h-index 27

Impact in

Papers in

Katja Bieber

85 papers receiving 2.1k citations

Hit Papers

A comprehensive review of methodologies and application to use the real-world data and analytics platform TriNetX 2025 · 30 citations
302023202620242025204060

Peers

Katja Bieber
Comparison fields: 5 of 100
  • Genetics 775
  • Pathology and Forensic Medicine 1.1k
  • Rheumatology 764
  • Dermatology 290
  • Immunology 334
Replace Jan Piet van Hamburg with:
Jan Piet van Hamburg Netherlands
Alfiya Akhmetshina Germany
Pawel Zerr Germany
Xuming Mao United States
Stefano Soldano Italy
Jens Schmidt Germany
Bing He Sweden
Sanna Rosengren United States
Kazumitsu Sugiura Japan
Y Ohsugi Japan
Katja Bieber relative to Jan Piet van Hamburg Netherlands Jan Piet van Hamburg's profile →
Citations per field
00.5×
Jan Piet van Hamburg · 1×
Citations per year

Countries citing papers authored by Katja Bieber

Since Specialization
Citations

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

Fields of papers citing papers by Katja Bieber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
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Generation of blister-inducing autoantibodies of distinct subclasses and specificity is linked to H2s in an active mouse model of epidermolysis bullosa acquisita
201017
20 201052

About Katja Bieber

Katja Bieber is a scholar working on Genetics, Pathology and Forensic Medicine, Rheumatology, Dermatology and Immunology, having authored 93 papers that have together received 2.1k indexed citations. Recurring topics across this work include Autoimmune Bullous Skin Diseases (59 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (47 papers), Urticaria and Related Conditions (43 papers), Dermatology and Skin Diseases (8 papers), Skin and Cellular Biology Research (6 papers), Psoriasis: Treatment and Pathogenesis (5 papers), Nail Diseases and Treatments (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Genetics (775 citations), Pathology and Forensic Medicine (1.1k citations), Rheumatology (764 citations), Dermatology (290 citations) and Immunology (334 citations). Katja Bieber has collaborated with scholars based in Germany, United States and Israel. Frequent co-authors include Ralf J. Ludwig, Detlef Zillikens, Enno Schmidt, Hugo H. Marti, Michael Kasperkiewicz, Kathrin Kalies, Hiroshi Koga, Jürgen Westermann, Rudolf A. Manz and Saleh Ibrahim. Their work appears in journals such as Frontiers in Immunology, Journal of Investigative Dermatology, Experimental Dermatology, Frontiers in Medicine and The Journal of Immunology.

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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