Ute Lehmann
Impact in
- Physiology top 5%
- Immunology top 10%
- interferon and immune responses
Papers in
-
- Protein Tyrosine Phosphatases 5
- Oncology 6
- Cytokine Signaling Pathways and Interactions 6
- Co-authors
- Md. Joynal Abedin (2 shared papers)Maura McDonnell (1 shared paper)Ameeta Kelekar (1 shared paper)Neal D. Heuss (7 shared papers)Dale S. Gregerson (7 shared papers)Scott W. McPherson (6 shared papers)Wolfram Weckwerth (3 shared papers)Radoslaw M. Sobota (4 shared papers)
- Journals
- Journal of Neuroinflammation (2 papers)Diabetes Technology & Therapeutics (2 papers)Journal of Biological Chemistry (2 papers)The Journal of Immunology (2 papers)Cellular Signalling (2 papers)
- Partner nations
- GermanyUnited StatesCanada
In The Last Decade
Ute Lehmann
31 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 97
- Physiology 64
- Immunology 274
- Neurology 101
- Oncology 307
- Ophthalmology 96
Countries citing papers authored by Ute Lehmann
This map shows the geographic impact of Ute Lehmann'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 Lehmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ute Lehmann more than expected).
Fields of papers citing papers by Ute Lehmann
This network shows the impact of papers produced by Ute Lehmann. 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 Lehmann. The network helps show where Ute Lehmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Ute Lehmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 430 | |
| 2 | 2002 | 187 | |
| 3 | 2010 | 74 | |
| 4 | 2003 | 71 | |
| 5 | 2010 | 65 | |
| 6 | 2007 | 63 | |
| 7 | 2004 | 59 | |
| 8 | 2008 | 58 | |
| 9 | 2006 | 58 | |
| 10 | 2000 | 56 | |
| 11 | 2012 | 45 | |
| 12 | 2006 | 38 | |
| 13 | 2008 | 37 | |
| 14 | 2005 | 35 | |
| 15 | 1995 | 33 | |
| 16 | 2005 | 31 | |
| 17 | 2011 | 25 | |
| 18 | 2014 | 22 | |
| 19 | 2009 | 19 | |
| 20 | 1985 | 19 |
About Ute Lehmann
Ute Lehmann is a scholar working on Molecular Biology, Oncology, Immunology, Cellular and Molecular Neuroscience and Neurology, having authored 31 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (6 papers), Protein Tyrosine Phosphatases (5 papers), interferon and immune responses (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Immunotherapy and Immune Responses (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Diabetes and associated disorders (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Physiology (64 citations), Immunology (274 citations), Neurology (101 citations), Oncology (307 citations) and Ophthalmology (96 citations). Ute Lehmann has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Md. Joynal Abedin, Maura McDonnell, Ameeta Kelekar, Neal D. Heuss, Dale S. Gregerson, Scott W. McPherson, Wolfram Weckwerth, Radoslaw M. Sobota, Peter C. Heinrich and Fred Schaper. Their work appears in journals such as Journal of Neuroinflammation, Diabetes Technology & Therapeutics, Journal of Biological Chemistry, The Journal of Immunology and Cellular Signalling.
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.