Uwe Niesner
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
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- Vitamin D Research Studies
Papers in
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- T-cell and B-cell Immunology 6
- Immune Cell Function and Interaction 5
- Immunotherapy and Immune Responses 3
- Immunodeficiency and Autoimmune Disorders 2
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- Stress Responses and Cortisol 1
- Co-authors
- Andreas RadbruchHyun‐Dong ChangAlf HamannTorsten ZuberbierMargitta WormGuido HeineUlrich ZügelAndreas Steinmeyer
- Journals
- European Journal of Immunology (3 papers)The Journal of Experimental Medicine (2 papers)International Journal of Cancer (1 paper)Bioconjugate Chemistry (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Uwe Niesner
9 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Immunology 813
- Pathology and Forensic Medicine 225
- Immunology and Allergy 62
- Transplantation 18
- Oncology 171
Countries citing papers authored by Uwe Niesner
This map shows the geographic impact of Uwe Niesner'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 Uwe Niesner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uwe Niesner more than expected).
Fields of papers citing papers by Uwe Niesner
This network shows the impact of papers produced by Uwe Niesner. 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 Uwe Niesner. The network helps show where Uwe Niesner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Uwe Niesner, 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 | 2010 | 52 | |
| 2 | 2008 | 252 | |
| 3 | 2008 | 4 | |
| 4 | 2007 | 87 | |
| 5 | 2005 | 54 | |
| 6 | 2004 | 75 | |
| 7 | Developmental Stage, Phenotype, and Migration Distinguish Naive- and Effector/Memory-like CD4+ Regulatory T Cells Hit paper breakdown → | 2004 | 520 |
| 8 | 2002 | 49 | |
| 9 | 2002 | 122 |
About Uwe Niesner
Uwe Niesner is a scholar working on Immunology, Behavioral Neuroscience, Radiology, Nuclear Medicine and Imaging, Nutrition and Dietetics and Pathology and Forensic Medicine, having authored 9 papers that have together received 1.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (5 papers), Immunotherapy and Immune Responses (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Stress Responses and Cortisol (1 paper), Angiogenesis and VEGF in Cancer (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Immunology (813 citations), Pathology and Forensic Medicine (225 citations), Immunology and Allergy (62 citations), Transplantation (18 citations) and Oncology (171 citations). Uwe Niesner has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Andreas Radbruch, Hyun‐Dong Chang, Alf Hamann, Torsten Zuberbier, Margitta Worm, Guido Heine, Ulrich Zügel, Andreas Steinmeyer, Markus Feuerer and Jochen Huehn. Their work appears in journals such as European Journal of Immunology, The Journal of Experimental Medicine, International Journal of Cancer, Bioconjugate Chemistry and Journal of Biological Chemistry.
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.