Thamara Beyer
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune cells in cancer
- Immune Cell Function and Interaction
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- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 10
- T-cell and B-cell Immunology 8
- Immunotherapy and Immune Responses 3
- Immune cells in cancer 1
- Genetics 2
- Chronic Lymphocytic Leukemia Research 1
- Mesenchymal stem cell research 1
- Co-authors
- Bernd Jahrsdörfer (11 shared papers)Dorit Fabricius (10 shared papers)Thomas Simmet (8 shared papers)Kai Sontheimer (7 shared papers)Oleg Lunov (6 shared papers)Magdalena Hagn (6 shared papers)Gerd Ulrich Nienhaus (5 shared papers)Hubert Schrezenmeier (8 shared papers)
- Journals
- Blood (5 papers)The Journal of Immunology (3 papers)European Journal of Immunology (1 paper)Cancer Research (1 paper)International Immunology (1 paper)
- Partner nations
- GermanyUnited StatesAustralia
In The Last Decade
Thamara Beyer
11 papers receiving 808 citations
Peers
Comparison fields: 5 of 46
- Immunology 526
- Oncology 141
- Transplantation 17
- Rheumatology 44
- Genetics 28
Countries citing papers authored by Thamara Beyer
This map shows the geographic impact of Thamara Beyer'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 Thamara Beyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thamara Beyer more than expected).
Fields of papers citing papers by Thamara Beyer
This network shows the impact of papers produced by Thamara Beyer. 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 Thamara Beyer. The network helps show where Thamara Beyer may publish in the future.
Co-authors
The 25 scholars most cited alongside Thamara Beyer, 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 | 2013 | 294 | |
| 2 | 2009 | 153 | |
| 3 | 2009 | 106 | |
| 4 | 2011 | 88 | |
| 5 | 2015 | 64 | |
| 6 | 2010 | 58 | |
| 7 | 2014 | 38 | |
| 8 | 2014 | 14 | |
| 9 | 2009 | 5 | |
| 10 | 2014 | 4 | |
| 11 | 2012 | 1 | |
| 12 | 2014 | 0 |
About Thamara Beyer
Thamara Beyer is a scholar working on Immunology, Genetics, Oncology, Rheumatology and Molecular Biology, having authored 12 papers that have together received 825 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (8 papers), Immunotherapy and Immune Responses (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Chronic Lymphocytic Leukemia Research (1 paper), Immune cells in cancer (1 paper), Systemic Lupus Erythematosus Research (1 paper), S100 Proteins and Annexins (1 paper) and Mesenchymal stem cell research (1 paper). The work is most often cited by research in Immunology (526 citations), Oncology (141 citations), Transplantation (17 citations), Rheumatology (44 citations) and Genetics (28 citations). Thamara Beyer has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Bernd Jahrsdörfer, Dorit Fabricius, Thomas Simmet, Kai Sontheimer, Oleg Lunov, Magdalena Hagn, Gerd Ulrich Nienhaus, Hubert Schrezenmeier, Christof Kaltenmeier and Thomas F.E. Barth. Their work appears in journals such as Blood, The Journal of Immunology, European Journal of Immunology, Cancer Research and International 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.