Swen Weßendorf
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- Lymphoma Diagnosis and Treatment 15
- Genetics top 2%
- Genomic variations and chromosomal abnormalities 11
- Chronic Lymphocytic Leukemia Research 10
- Oncology top 5%
- Viral-associated cancers and disorders 7
- Colorectal Cancer Treatments and Studies 4
- Cancer Research top 10%
- Cancer Genomics and Diagnostics 4
- Hematology top 10%
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- Lung Cancer Treatments and Mutations 4
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- Chromosomal and Genetic Variations 3
- Co-authors
- Carsten SchwäenenPeter LichterMartin BentzHartmut DöhnerBernhard RadlwimmerMichelle NeßlingGunnar WrobelHans A. Kestler
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Swen Weßendorf
31 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 64
- Pathology and Forensic Medicine 665
- Genetics 387
- Oncology 624
- Cancer Research 299
- Hematology 148
Countries citing papers authored by Swen Weßendorf
This map shows the geographic impact of Swen Weßendorf'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 Swen Weßendorf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Swen Weßendorf more than expected).
Fields of papers citing papers by Swen Weßendorf
This network shows the impact of papers produced by Swen Weßendorf. 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 Swen Weßendorf. The network helps show where Swen Weßendorf may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Swen Weßendorf, 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 | 2018 | 9 | |
| 2 | 2012 | 21 | |
| 3 | 2011 | 25 | |
| 4 | 2010 | 41 | |
| 5 | 2009 | 10 | |
| 6 | Conserved oncogenic module activation patterns (COMAPS) identify biologically homogeneous groups of diffuse large B-cell lymphomas and clearly define Burkitt lymphoma | 2008 | 2 |
| 7 | 2008 | 31 | |
| 8 | 2008 | 87 | |
| 9 | 2007 | 24 | |
| 10 | 2007 | 50 | |
| 11 | 2006 | 107 | |
| 12 | 2005 | 101 | |
| 13 | 2005 | 1 | |
| 14 | 2004 | 96 | |
| 15 | 2004 | 1 | |
| 16 | 2004 | 113 | |
| 17 | 2003 | 79 | |
| 18 | 2003 | 12 | |
| 19 | 2001 | 1 | |
| 20 | 2001 | 29 |
About Swen Weßendorf
Swen Weßendorf is a scholar working on Genetics, Pathology and Forensic Medicine and Oncology, having authored 31 papers that have together received 1.6k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (15 papers), Genomic variations and chromosomal abnormalities (11 papers), Chronic Lymphocytic Leukemia Research (10 papers), Viral-associated cancers and disorders (7 papers), Colorectal Cancer Treatments and Studies (4 papers), Cancer Genomics and Diagnostics (4 papers), Lung Cancer Treatments and Mutations (4 papers) and Chromosomal and Genetic Variations (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (665 citations), Genetics (387 citations) and Oncology (624 citations). Swen Weßendorf has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Carsten Schwäenen, Peter Lichter, Martin Bentz, Hartmut Döhner, Bernhard Radlwimmer, Michelle Neßling, Gunnar Wrobel, Hans A. Kestler, Holger Kohlhammer and Björn Fritz. Their work appears in journals such as Blood, Journal of Clinical Oncology, Cancer Research, Haematologica and Annals of Hematology.
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.