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 7
- Peptidase Inhibition and Analysis 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)Johannes Gebert (4 shared papers)Hans K. Schackert (4 shared papers)Iris Morr (1 shared paper)Karin Haack (1 shared paper)H. Dariush Fahimi (2 shared papers)Klaus Weber (1 shared paper)Konstantin Beier (2 shared papers)
- Journals
- Recent results in cancer research (4 papers)Journal of Molecular Medicine (2 papers)Hepatology (2 papers)The American Journal of Cardiology (1 paper)Circulation (1 paper)
- Partner nations
- GermanyUnited StatesAustralia
In The Last Decade
Markus Lindauer
17 papers receiving 413 citations
Peers
Comparison fields: 5 of 71
- Genetics 57
- Hematology 58
- Immunology 78
- Oncology 90
- Rheumatology 48
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 | 81 |
| 2 | 2018 | 66 | |
| 3 | 2014 | 65 | |
| 4 | 2009 | 50 | |
| 5 | 2023 | 39 | |
| 6 | 1994 | 29 | |
| 7 | 1998 | 24 | |
| 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 | 15 | |
| 12 | 1996 | 5 | |
| 13 | 2001 | 4 | |
| 14 | 1964 | 4 | |
| 15 | 1994 | 3 | |
| 16 | 1998 | 2 | |
| 17 | 1952 | 2 | |
| 18 | 2025 | 0 | |
| 19 | 1994 | 0 |
About Markus Lindauer
Markus Lindauer is a scholar working on Oncology, Immunology, Genetics, Rheumatology and Hematology, having authored 19 papers that have together received 439 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), T-cell and B-cell Immunology (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Genetics (57 citations), Hematology (58 citations), Immunology (78 citations), Oncology (90 citations) and Rheumatology (48 citations). Markus Lindauer has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Andreas Hochhaus, Johannes Gebert, Hans K. Schackert, Iris Morr, Karin Haack, H. Dariush Fahimi, Klaus Weber, Konstantin Beier, Alfred Völkl and G. van Kaick. Their work appears in journals such as Recent results in cancer research, Journal of Molecular Medicine, Hepatology, The American Journal of Cardiology and Circulation.
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.