Ute Lehmann
Impact in
- Physiology top 5%
- Immunology top 10%
- interferon and immune responses
Papers in
-
- interferon and immune responses 3
- Immunotherapy and Immune Responses 3
- Oncology 6
- Cytokine Signaling Pathways and Interactions 6
- Co-authors
- Md. Joynal Abedin (2 shared papers)Ameeta Kelekar (1 shared paper)Maura McDonnell (1 shared paper)Dale S. Gregerson (7 shared papers)Neal D. Heuss (7 shared papers)Scott W. McPherson (6 shared papers)Wolfram Weckwerth (3 shared papers)Radoslaw Mikolaj Sobota (4 shared papers)
- Journals
- Diabetes Technology & Therapeutics (2 papers)Journal of Neuroinflammation (2 papers)Journal of Biological Chemistry (2 papers)Cellular Signalling (2 papers)The Journal of Immunology (2 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Ute Lehmann
32 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 100
- Physiology 67
- Immunology 298
- Neurology 108
- Oncology 323
- Ophthalmology 100
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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 457 | |
| 2 | 2002 | 207 | |
| 3 | 2010 | 82 | |
| 4 | 2003 | 74 | |
| 5 | 2007 | 70 | |
| 6 | 2010 | 67 | |
| 7 | 2000 | 66 | |
| 8 | 2008 | 61 | |
| 9 | 2004 | 61 | |
| 10 | 2006 | 60 | |
| 11 | 2012 | 47 | |
| 12 | 2006 | 40 | |
| 13 | 2005 | 37 | |
| 14 | 2008 | 37 | |
| 15 | 2016 | 34 | |
| 16 | 1995 | 34 | |
| 17 | 2005 | 33 | |
| 18 | 2011 | 26 | |
| 19 | 2014 | 22 | |
| 20 | 2009 | 19 |
About Ute Lehmann
Ute Lehmann is a scholar working on Immunology, Oncology, Neurology, Molecular Biology and Cellular and Molecular Neuroscience, having authored 32 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (6 papers), Protein Tyrosine Phosphatases (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), interferon and immune responses (3 papers), Immunotherapy and Immune Responses (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Mass Spectrometry Techniques and Applications (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). The work is most often cited by research in Physiology (67 citations), Immunology (298 citations), Neurology (108 citations), Oncology (323 citations) and Ophthalmology (100 citations). Ute Lehmann has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Md. Joynal Abedin, Ameeta Kelekar, Maura McDonnell, Dale S. Gregerson, Neal D. Heuss, Scott W. McPherson, Wolfram Weckwerth, Radoslaw Mikolaj Sobota, Peter Claus Heinrich and Fred Schaper. Their work appears in journals such as Diabetes Technology & Therapeutics, Journal of Neuroinflammation, Journal of Biological Chemistry, Cellular Signalling 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.