Martin Schwonzen
- Hematology top 10%
- Acute Myeloid Leukemia Research 5
- Oncology top 10%
- CAR-T cell therapy research 2
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research 3
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- Lymphoma Diagnosis and Treatment 8
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- Galectins and Cancer Biology 3
- T-cell and Retrovirus Studies 2
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- Monoclonal and Polyclonal Antibodies Research 7
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- Glycosylation and Glycoproteins Research 5
- Co-authors
- Volker DiehlPeter MallmannChristian M. KurbacherMichael PfreundschuhChristoph PohlGerhard HeilOliver G. OttmannRegina Reutzel
- Cited by
- HematologyOncologyGenetics
- Journals
- International Journal of Cancer (3 papers)Blood (3 papers)British Journal of Haematology (2 papers)
- Partner nations
- GermanyNetherlandsUnited States
In The Last Decade
Martin Schwonzen
26 papers receiving 486 citations
Peers
Comparison fields: 5 of 60
- Hematology 142
- Oncology 238
- Genetics 89
- Pathology and Forensic Medicine 113
- Immunology 124
Countries citing papers authored by Martin Schwonzen
This map shows the geographic impact of Martin Schwonzen'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 Martin Schwonzen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Schwonzen more than expected).
Fields of papers citing papers by Martin Schwonzen
This network shows the impact of papers produced by Martin Schwonzen. 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 Martin Schwonzen. The network helps show where Martin Schwonzen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Martin Schwonzen, 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 | 0 | |
| 2 | 2018 | 3 | |
| 3 | 2006 | 20 | |
| 4 | 2004 | 26 | |
| 5 | 2003 | 4 | |
| 6 | 2002 | 4 | |
| 7 | 2000 | 57 | |
| 8 | 1998 | 6 | |
| 9 | 1996 | 8 | |
| 10 | 1995 | 34 | |
| 11 | 1995 | 34 | |
| 12 | 1995 | 90 | |
| 13 | 1993 | 28 | |
| 14 | 1993 | 29 | |
| 15 | 1993 | 28 | |
| 16 | 1993 | 39 | |
| 17 | 1992 | 13 | |
| 18 | 1992 | 10 | |
| 19 | 1992 | 17 | |
| 20 | 1989 | 29 |
About Martin Schwonzen
Martin Schwonzen is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Immunology and Oncology, having authored 27 papers that have together received 510 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Glycosylation and Glycoproteins Research (5 papers), Acute Myeloid Leukemia Research (5 papers), Chronic Lymphocytic Leukemia Research (3 papers), Galectins and Cancer Biology (3 papers), T-cell and Retrovirus Studies (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Hematology (142 citations), Oncology (238 citations), Genetics (89 citations), Pathology and Forensic Medicine (113 citations) and Immunology (124 citations). Martin Schwonzen has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Volker Diehl, Peter Mallmann, Christian M. Kurbacher, Michael Pfreundschuh, Christoph Pohl, Gerhard Heil, Oliver G. Ottmann, Regina Reutzel, Arnold Ganser and T. Lipp. Their work appears in journals such as International Journal of Cancer, Blood, British Journal of Haematology, Leukemia Research and Anti-Cancer Drugs.
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.