Peter Matthiesen
Impact in
- Microbiology top 5%
- Antimicrobial Peptides and Activities
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment
Papers in
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- PI3K/AKT/mTOR signaling in cancer 3
- Renal and related cancers 2
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- Lymphoma Diagnosis and Treatment 7
- Co-authors
- Brigitte Schlegelberger (13 shared papers)Reiner Siebert (12 shared papers)Svetlana Harder (9 shared papers)K Weber-Matthiesen (4 shared papers)Yanming Zhang (3 shared papers)Yanming Zhang (4 shared papers)Enno Christophers (1 shared paper)Jürgen Harder (1 shared paper)
- Journals
- Blood (4 papers)The Journal of Urology (2 papers)Genomics (2 papers)Genes Chromosomes and Cancer (2 papers)British Journal of Haematology (1 paper)
- Partner nations
- GermanyChinaSouth Korea
In The Last Decade
Peter Matthiesen
14 papers receiving 417 citations
Peers
Comparison fields: 5 of 43
- Microbiology 82
- Pathology and Forensic Medicine 190
- Genetics 107
- Immunology 116
- Oncology 140
Countries citing papers authored by Peter Matthiesen
This map shows the geographic impact of Peter Matthiesen'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 Peter Matthiesen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Matthiesen more than expected).
Fields of papers citing papers by Peter Matthiesen
This network shows the impact of papers produced by Peter Matthiesen. 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 Peter Matthiesen. The network helps show where Peter Matthiesen may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Matthiesen, 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 | 1997 | 90 | |
| 2 | 2000 | 62 | |
| 3 | 1997 | 54 | |
| 4 | 1998 | 50 | |
| 5 | 1998 | 46 | |
| 6 | 2015 | 24 | |
| 7 | 1998 | 22 | |
| 8 | 1998 | 19 | |
| 9 | 1998 | 16 | |
| 10 | 1999 | 13 | |
| 11 | 1998 | 12 | |
| 12 | 1998 | 12 | |
| 13 | 2000 | 11 | |
| 14 | 1998 | 1 | |
| 15 | 1998 | 1 |
About Peter Matthiesen
Peter Matthiesen is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Genetics, Oncology and Immunology, having authored 15 papers that have together received 433 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (7 papers), Chronic Lymphocytic Leukemia Research (6 papers), Cancer Genomics and Diagnostics (3 papers), Viral-associated cancers and disorders (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Renal and related cancers (2 papers), Renal cell carcinoma treatment (2 papers) and Genomic variations and chromosomal abnormalities (2 papers). The work is most often cited by research in Microbiology (82 citations), Pathology and Forensic Medicine (190 citations), Genetics (107 citations), Immunology (116 citations) and Oncology (140 citations). Peter Matthiesen has collaborated with scholars based in Germany, China and South Korea. Frequent co-authors include Brigitte Schlegelberger, Reiner Siebert, Svetlana Harder, K Weber-Matthiesen, Yanming Zhang, Yanming Zhang, Enno Christophers, Jürgen Harder, W. Grote and Reina Zühlke‐Jenisch. Their work appears in journals such as Blood, The Journal of Urology, Genomics, Genes Chromosomes and Cancer and British Journal of Haematology.
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.