Andreas Roller
- Hematology top 1%
- Acute Myeloid Leukemia Research 15
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research 4
- Myeloproliferative Neoplasms: Diagnosis and Treatment 4
- Immunology top 5%
- Immunotherapy and Immune Responses 5
- Oncology top 2%
- Cancer Immunotherapy and Biomarkers 9
- CAR-T cell therapy research 3
- Cancer Research top 10%
- Cancer Genomics and Diagnostics 9
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- Epigenetics and DNA Methylation 3
- Co-authors
- Claudia HaferlachSusanne SchnittgerTorsten HaferlachWolfgang KernAlexander KohlmannVera GrossmannChristian KleinPetra Herzig
- Cited by
- HematologyGeneticsImmunology
- Partner nations
- GermanySwitzerlandUnited Kingdom
In The Last Decade
Andreas Roller
32 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Hematology 661
- Genetics 445
- Immunology 867
- Oncology 1.0k
- Cancer Research 240
Countries citing papers authored by Andreas Roller
This map shows the geographic impact of Andreas Roller'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 Andreas Roller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Roller more than expected).
Fields of papers citing papers by Andreas Roller
This network shows the impact of papers produced by Andreas Roller. 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 Andreas Roller. The network helps show where Andreas Roller may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andreas Roller, 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 | 2024 | 6 | |
| 2 | 2023 | 5 | |
| 3 | 2023 | 1 | |
| 4 | 2020 | 38 | |
| 5 | 2018 | 7 | |
| 6 | A transcriptionally and functionally distinct PD-1+ CD8+ T cell pool with predictive potential in non-small-cell lung cancer treated with PD-1 blockadebreakdown → | 2018 | 733 |
| 7 | 2017 | 2 | |
| 8 | 2015 | 315 | |
| 9 | 2015 | 28 | |
| 10 | 2013 | 80 | |
| 11 | 2013 | 114 | |
| 12 | 2013 | 144 | |
| 13 | 2013 | 39 | |
| 14 | 2013 | 1 | |
| 15 | 2013 | 23 | |
| 16 | 2013 | 1 | |
| 17 | 2013 | 2 | |
| 18 | 2012 | 219 | |
| 19 | 2012 | 179 | |
| 20 | 2012 | 17 |
About Andreas Roller
Andreas Roller is a scholar working on Hematology, Genetics, Cancer Research, Oncology and Immunology, having authored 33 papers that have together received 2.1k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (15 papers), Cancer Immunotherapy and Biomarkers (9 papers), Cancer Genomics and Diagnostics (9 papers), Immunotherapy and Immune Responses (5 papers), Chronic Lymphocytic Leukemia Research (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), CAR-T cell therapy research (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Hematology (661 citations), Genetics (445 citations), Immunology (867 citations), Oncology (1.0k citations) and Cancer Research (240 citations). Andreas Roller has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include Claudia Haferlach, Susanne Schnittger, Torsten Haferlach, Wolfgang Kern, Alexander Kohlmann, Vera Grossmann, Christian Klein, Petra Herzig, Alfred Zippelius and Daniela S. Thommen. Their work appears in journals such as Blood, Cancer Research, British Journal of Haematology, Leukemia and Nature Medicine.
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.