Markus Lindauer
Impact in
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- Virus-based gene therapy research
- Chronic Lymphocytic Leukemia Research
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- Chronic Myeloid Leukemia Treatments
Papers in
- Oncology 6
- Drug Transport and Resistance Mechanisms 2
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- Immunotherapy and Immune Responses 5
- Immune Cell Function and Interaction 4
- T-cell and B-cell Immunology 2
- Co-authors
- Andreas Hochhaus (3 shared papers)Hans K. Schackert (3 shared papers)Johannes Gebert (3 shared papers)Alfred Völkl (2 shared papers)Konstantin Beier (2 shared papers)H. Dariush Fahimi (2 shared papers)Uwe Haberkorn (1 shared paper)Klaus Weber (1 shared paper)
- Journals
- Recent results in cancer research (4 papers)Journal of Molecular Medicine (2 papers)Hepatology (2 papers)Bone Marrow Transplantation (1 paper)European Journal of Cancer (1 paper)
- Partner nations
- GermanyUnited StatesAustralia
In The Last Decade
Markus Lindauer
16 papers receiving 389 citations
Peers
Comparison fields: 5 of 68
- Genetics 65
- Hematology 61
- Immunology 81
- Oncology 98
- Rheumatology 49
Countries citing papers authored by Markus Lindauer
This map shows the geographic impact of Markus Lindauer'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 Markus Lindauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Lindauer more than expected).
Fields of papers citing papers by Markus Lindauer
This network shows the impact of papers produced by Markus Lindauer. 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 Markus Lindauer. The network helps show where Markus Lindauer may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Lindauer, 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 | Monitoring gene therapy with cytosine deaminase: in vitro studies using tritiated-5-fluorocytosine. | 1996 | 69 |
| 2 | 2018 | 62 | |
| 3 | 2014 | 61 | |
| 4 | 2009 | 47 | |
| 5 | 2023 | 35 | |
| 6 | 1994 | 28 | |
| 7 | 1998 | 23 | |
| 8 | 1995 | 18 | |
| 9 | 1996 | 16 | |
| 10 | CD80-transfected human breast and ovarian tumor cell lines: improved immunogenicity and induction of cytolytic CD8+ T lymphocytes. | 1995 | 16 |
| 11 | 1953 | 13 | |
| 12 | 1996 | 5 | |
| 13 | 2001 | 4 | |
| 14 | 1994 | 3 | |
| 15 | 1964 | 3 | |
| 16 | 1998 | 2 | |
| 17 | 1952 | 2 | |
| 18 | 2025 | 0 |
About Markus Lindauer
Markus Lindauer is a scholar working on Oncology, Immunology, Genetics, Rheumatology and Hematology, having authored 18 papers that have together received 407 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), Chronic Myeloid Leukemia Treatments (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Immune Cell Function and Interaction (4 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Eosinophilic Disorders and Syndromes (3 papers), Drug Transport and Resistance Mechanisms (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Genetics (65 citations), Hematology (61 citations), Immunology (81 citations), Oncology (98 citations) and Rheumatology (49 citations). Markus Lindauer has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Andreas Hochhaus, Hans K. Schackert, Johannes Gebert, Alfred Völkl, Konstantin Beier, H. Dariush Fahimi, Uwe Haberkorn, Klaus Weber, G. van Kaick and Iris Morr. Their work appears in journals such as Recent results in cancer research, Journal of Molecular Medicine, Hepatology, Bone Marrow Transplantation and European Journal of Cancer.
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.