Imke Beier
Impact in
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- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
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- Chronic Lymphocytic Leukemia Research
Papers in
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- Immunotherapy and Immune Responses 4
- Immune Cell Function and Interaction 3
- T-cell and B-cell Immunology 2
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- Protein Kinase Regulation and GTPase Signaling 4
- PI3K/AKT/mTOR signaling in cancer 4
- Glycosylation and Glycoproteins Research 1
- Co-authors
- Tilman Sauerbruch (6 shared papers)Dimitri Flieger (6 shared papers)Sabine Renoth (1 shared paper)Udo K. Schmitz (4 shared papers)H. Vetter (4 shared papers)Ingo Schmidt‐Wolf (1 shared paper)Rainer Düsing (3 shared papers)Ingo G.H. Schmidt‐Wolf (4 shared papers)
- Journals
- Cytokine (1 paper)Journal of Immunotherapy (1 paper)Biochemical and Biophysical Research Communications (1 paper)Clinical and Experimental Hypertension (1 paper)Atherosclerosis (1 paper)
- Partner nations
- Germany
In The Last Decade
Imke Beier
12 papers receiving 377 citations
Peers
Comparison fields: 5 of 55
- Immunology 98
- Genetics 38
- Radiology, Nuclear Medicine and Imaging 78
- Oncology 88
- Geriatrics and Gerontology 11
Countries citing papers authored by Imke Beier
This map shows the geographic impact of Imke Beier'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 Imke Beier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Imke Beier more than expected).
Fields of papers citing papers by Imke Beier
This network shows the impact of papers produced by Imke Beier. 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 Imke Beier. The network helps show where Imke Beier may publish in the future.
Co-authors
The 20 scholars most cited alongside Imke Beier, 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 | 2000 | 123 | |
| 2 | 2018 | 72 | |
| 3 | 2001 | 52 | |
| 4 | 2002 | 45 | |
| 5 | 1999 | 28 | |
| 6 | 2007 | 23 | |
| 7 | 2000 | 16 | |
| 8 | 2000 | 8 | |
| 9 | 2000 | 7 | |
| 10 | 2004 | 5 | |
| 11 | 2000 | 4 | |
| 12 | 2013 | 2 |
About Imke Beier
Imke Beier is a scholar working on Immunology, Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging and Computational Mechanics, having authored 12 papers that have together received 385 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Immune Cell Function and Interaction (3 papers), T-cell and B-cell Immunology (2 papers), CAR-T cell therapy research (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Immunology (98 citations), Genetics (38 citations), Radiology, Nuclear Medicine and Imaging (78 citations), Oncology (88 citations) and Geriatrics and Gerontology (11 citations). Imke Beier has collaborated with scholars based in Germany. Frequent co-authors include Tilman Sauerbruch, Dimitri Flieger, Sabine Renoth, Udo K. Schmitz, H. Vetter, Ingo Schmidt‐Wolf, Rainer Düsing, Ingo G.H. Schmidt‐Wolf, Michael Meisenheimer and Helmut Stark. Their work appears in journals such as Cytokine, Journal of Immunotherapy, Biochemical and Biophysical Research Communications, Clinical and Experimental Hypertension and Atherosclerosis.
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.