Carsten Schwäenen
- Genetics top 5%
- Genomic variations and chromosomal abnormalities 12
- Chronic Lymphocytic Leukemia Research 6
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 5
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- Lymphoma Diagnosis and Treatment 10
- Oncology top 10%
- Viral-associated cancers and disorders 5
- Hematology top 5%
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- Chromosomal and Genetic Variations 4
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- Gene expression and cancer classification 4
- RNA Research and Splicing 2
- Co-authors
- Peter LichterSwen WeßendorfBernhard RadlwimmerMartin BentzHartmut DöhnerMichelle NeßlingGunnar WrobelHans A. Kestler
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Clinical Oncology (1 paper)Blood (4 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Carsten Schwäenen
25 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 65
- Genetics 319
- Cancer Research 362
- Pathology and Forensic Medicine 420
- Oncology 377
- Hematology 151
Countries citing papers authored by Carsten Schwäenen
This map shows the geographic impact of Carsten Schwäenen'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 Carsten Schwäenen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carsten Schwäenen more than expected).
Fields of papers citing papers by Carsten Schwäenen
This network shows the impact of papers produced by Carsten Schwäenen. 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 Carsten Schwäenen. The network helps show where Carsten Schwäenen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Carsten Schwäenen, 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 | 2012 | 21 | |
| 2 | 2011 | 25 | |
| 3 | 2011 | 27 | |
| 4 | 2010 | 41 | |
| 5 | Conserved oncogenic module activation patterns (COMAPS) identify biologically homogeneous groups of diffuse large B-cell lymphomas and clearly define Burkitt lymphoma | 2008 | 2 |
| 6 | 2008 | 31 | |
| 7 | 2007 | 8 | |
| 8 | 2007 | 50 | |
| 9 | 2007 | 13 | |
| 10 | 2006 | 132 | |
| 11 | 2006 | 107 | |
| 12 | 2006 | 20 | |
| 13 | 2005 | 101 | |
| 14 | 2005 | 30 | |
| 15 | 2005 | 1 | |
| 16 | 2004 | 49 | |
| 17 | 2004 | 96 | |
| 18 | 2004 | 113 | |
| 19 | 2003 | 79 | |
| 20 | 2003 | 12 |
About Carsten Schwäenen
Carsten Schwäenen is a scholar working on Pathology and Forensic Medicine, Genetics and Cancer Research, having authored 25 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (12 papers), Lymphoma Diagnosis and Treatment (10 papers), Chronic Lymphocytic Leukemia Research (6 papers), Viral-associated cancers and disorders (5 papers), Cancer Genomics and Diagnostics (5 papers), Chromosomal and Genetic Variations (4 papers), Gene expression and cancer classification (4 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Genetics (319 citations), Cancer Research (362 citations) and Pathology and Forensic Medicine (420 citations). Carsten Schwäenen has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Peter Lichter, Swen Weßendorf, Bernhard Radlwimmer, Martin Bentz, Hartmut Döhner, Michelle Neßling, Gunnar Wrobel, Hans A. Kestler, Stefan Joos and Holger Kohlhammer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Blood.
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.