Thomas Beiter
Impact in
- Microbiology top 1%
- Bacterial Infections and Vaccines
- Immunology top 2%
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Immune Response and Inflammation
- Immune cells in cancer
Papers in
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- CRISPR and Genetic Engineering 3
- Single-cell and spatial transcriptomics 3
- Signaling Pathways in Disease 2
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- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 5
- Co-authors
- Staffan Normark (7 shared papers)Florian Wartha (7 shared papers)Barbara Albiger (5 shared papers)Birgitta Henriques‐Normark (3 shared papers)Arturo Zychlinsky (3 shared papers)Andreas M. Nieß (12 shared papers)Perikles Simon (6 shared papers)Annunziata Fragasso (6 shared papers)
In The Last Decade
Thomas Beiter
32 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 119
- Microbiology 301
- Immunology 943
- Rehabilitation 141
- Cancer Research 307
- Epidemiology 638
Countries citing papers authored by Thomas Beiter
This map shows the geographic impact of Thomas Beiter'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 Thomas Beiter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Beiter more than expected).
Fields of papers citing papers by Thomas Beiter
This network shows the impact of papers produced by Thomas Beiter. 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 Thomas Beiter. The network helps show where Thomas Beiter may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Beiter, 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 | 467 | |
| 2 | 2006 | 350 | |
| 3 | 2007 | 256 | |
| 4 | 2007 | 159 | |
| 5 | 2006 | 154 | |
| 6 | 1998 | 140 | |
| 7 | 2018 | 126 | |
| 8 | 2014 | 104 | |
| 9 | 2011 | 103 | |
| 10 | 2008 | 97 | |
| 11 | 2005 | 87 | |
| 12 | 2014 | 65 | |
| 13 | 2005 | 57 | |
| 14 | 2015 | 55 | |
| 15 | 2010 | 51 | |
| 16 | 2016 | 50 | |
| 17 | 2003 | 45 | |
| 18 | Exercise, skeletal muscle and inflammation: ARE-binding proteins as key regulators in inflammatory and adaptive networks. | 2015 | 44 |
| 19 | 1998 | 41 | |
| 20 | 2014 | 37 |
About Thomas Beiter
Thomas Beiter is a scholar working on Molecular Biology, Immunology, Epidemiology, Rehabilitation and Genetics, having authored 32 papers that have together received 2.7k indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (5 papers), Pneumonia and Respiratory Infections (4 papers), Exercise and Physiological Responses (4 papers), CRISPR and Genetic Engineering (3 papers), Single-cell and spatial transcriptomics (3 papers), Adipose Tissue and Metabolism (3 papers), Signaling Pathways in Disease (2 papers) and Pneumocystis jirovecii pneumonia detection and treatment (2 papers). The work is most often cited by research in Microbiology (301 citations), Immunology (943 citations), Rehabilitation (141 citations), Cancer Research (307 citations) and Epidemiology (638 citations). Thomas Beiter has collaborated with scholars based in Germany, Sweden and Italy. Frequent co-authors include Staffan Normark, Florian Wartha, Barbara Albiger, Birgitta Henriques‐Normark, Arturo Zychlinsky, Andreas M. Nieß, Perikles Simon, Birgitta Henriques‐Normark, Annunziata Fragasso and Jens Hudemann. Their work appears in journals such as Cellular Microbiology, Current Opinion in Microbiology, The FASEB Journal, Journal of Applied Physiology and Current Biology.
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.