Maike Reith
Impact in
- Immunology top 10%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Cancer Cells and Metastasis
Papers in
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- S100 Proteins and Annexins 3
- Pluripotent Stem Cells Research 2
- CRISPR and Genetic Engineering 2
- Renal and related cancers 1
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- Immunotherapy and Immune Responses 1
- Immune cells in cancer 1
- Co-authors
- Jochen Utikal (6 shared papers)Christoffer Gebhardt (6 shared papers)Viktor Umansky (4 shared papers)Tim Holland‐Letz (4 shared papers)Kathrin Tarnanidis (4 shared papers)Ramtin Lichtenberger (4 shared papers)Dirk Schadendorf (2 shared papers)Antje Sucker (2 shared papers)
- Journals
- Journal of Clinical Oncology (1 paper)Clinical Cancer Research (1 paper)International Journal of Cancer (1 paper)Journal for ImmunoTherapy of Cancer (1 paper)Stem Cell Reports (1 paper)
- Partner nations
- GermanySwitzerlandChina
In The Last Decade
Maike Reith
6 papers receiving 447 citations
Peers
Comparison fields: 5 of 39
- Immunology 221
- Oncology 241
- Clinical Biochemistry 22
- Molecular Biology 145
- Cancer Research 29
Countries citing papers authored by Maike Reith
This map shows the geographic impact of Maike Reith'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 Maike Reith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maike Reith more than expected).
Fields of papers citing papers by Maike Reith
This network shows the impact of papers produced by Maike Reith. 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 Maike Reith. The network helps show where Maike Reith may publish in the future.
Co-authors
The 25 scholars most cited alongside Maike Reith, 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 | 2015 | 292 | |
| 2 | 2019 | 69 | |
| 3 | 2017 | 32 | |
| 4 | 2015 | 30 | |
| 5 | 2016 | 24 | |
| 6 | 2014 | 2 |
About Maike Reith
Maike Reith is a scholar working on Molecular Biology, Immunology, Clinical Biochemistry, Biomedical Engineering and Infectious Diseases, having authored 6 papers that have together received 449 indexed citations. Recurring topics across this work include S100 Proteins and Annexins (3 papers), Pluripotent Stem Cells Research (2 papers), CRISPR and Genetic Engineering (2 papers), Advanced Glycation End Products research (1 paper), Immunotherapy and Immune Responses (1 paper), 3D Printing in Biomedical Research (1 paper), Immune cells in cancer (1 paper) and Renal and related cancers (1 paper). The work is most often cited by research in Immunology (221 citations), Oncology (241 citations), Clinical Biochemistry (22 citations), Molecular Biology (145 citations) and Cancer Research (29 citations). Maike Reith has collaborated with scholars based in Germany, Switzerland and China. Frequent co-authors include Jochen Utikal, Christoffer Gebhardt, Viktor Umansky, Tim Holland‐Letz, Kathrin Tarnanidis, Ramtin Lichtenberger, Dirk Schadendorf, Antje Sucker, Ludmila Umansky and Philipp Beckhove. Their work appears in journals such as Journal of Clinical Oncology, Clinical Cancer Research, International Journal of Cancer, Journal for ImmunoTherapy of Cancer and Stem Cell Reports.
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.