Uta Lauer
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- IL-33, ST2, and ILC Pathways
- Immune Response and Inflammation
Papers in
- Immunology 11
- Immunotherapy and Immune Responses 9
- T-cell and B-cell Immunology 8
- Immune Cell Function and Interaction 6
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- RNA Interference and Gene Delivery 3
- Co-authors
- Alf Hamann (13 shared papers)Jochen Huehn (5 shared papers)Stefan Floess (2 shared papers)Stefanie Hagemann (1 shared paper)Bi-Huei Yang (1 shared paper)Sebastian Suerbaum (1 shared paper)Joern Pezoldt (1 shared paper)Immo Prinz (1 shared paper)
- Journals
- Frontiers in Immunology (2 papers)Immunology and Cell Biology (1 paper)Molecular Pharmaceutics (1 paper)Immunology (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- GermanyNew ZealandPoland
In The Last Decade
Uta Lauer
15 papers receiving 743 citations
Peers
Comparison fields: 5 of 78
- Immunology 503
- Immunology and Allergy 32
- Gastroenterology 22
- Oncology 102
- Molecular Biology 214
Countries citing papers authored by Uta Lauer
This map shows the geographic impact of Uta Lauer'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 Uta Lauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uta Lauer more than expected).
Fields of papers citing papers by Uta Lauer
This network shows the impact of papers produced by Uta Lauer. 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 Uta Lauer. The network helps show where Uta Lauer may publish in the future.
Co-authors
The 25 scholars most cited alongside Uta Lauer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 322 | |
| 2 | 2007 | 130 | |
| 3 | Keratinocyte growth factor is highly overexpressed in inflammatory bowel disease. | 1996 | 95 |
| 4 | 2008 | 63 | |
| 5 | 2008 | 49 | |
| 6 | 2009 | 29 | |
| 7 | 2015 | 13 | |
| 8 | 2020 | 11 | |
| 9 | 2015 | 10 | |
| 10 | 1991 | 8 | |
| 11 | 2016 | 7 | |
| 12 | 2013 | 5 | |
| 13 | 2010 | 4 | |
| 14 | 2021 | 3 | |
| 15 | 2017 | 1 |
About Uta Lauer
Uta Lauer is a scholar working on Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology and Allergy and Oncology, having authored 15 papers that have together received 750 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (9 papers), T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (6 papers), Cell Adhesion Molecules Research (3 papers), RNA Interference and Gene Delivery (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Peptidase Inhibition and Analysis (2 papers) and Inflammatory Bowel Disease (1 paper). The work is most often cited by research in Immunology (503 citations), Immunology and Allergy (32 citations), Gastroenterology (22 citations), Oncology (102 citations) and Molecular Biology (214 citations). Uta Lauer has collaborated with scholars based in Germany, New Zealand and Poland. Frequent co-authors include Alf Hamann, Jochen Huehn, Stefan Floess, Stefanie Hagemann, Bi-Huei Yang, Sebastian Suerbaum, Joern Pezoldt, Immo Prinz, Matthias Lochner and Panagiota Mamareli. Their work appears in journals such as Frontiers in Immunology, Immunology and Cell Biology, Molecular Pharmaceutics, Immunology 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.