Michaela Patz
Impact in
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment
Papers in
- Genetics 10
- Chronic Lymphocytic Leukemia Research 10
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- Cell death mechanisms and regulation 2
- Glycosylation and Glycoproteins Research 2
- Co-authors
- Clemens‐Martin Wendtner (9 shared papers)Michael Hallek (10 shared papers)Günter Krause (5 shared papers)Christian P. Pallasch (7 shared papers)Lukas P. Frenzel (7 shared papers)Julia Claasen (6 shared papers)Pablo Umaña (2 shared papers)Christian Klein (2 shared papers)
- Journals
- Blood (7 papers)British Journal of Haematology (2 papers)Journal of Biological Chemistry (1 paper)Oncology Research and Treatment (1 paper)Leukemia & lymphoma (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Michaela Patz
12 papers receiving 438 citations
Peers
Comparison fields: 5 of 50
- Genetics 217
- Pathology and Forensic Medicine 145
- Cancer Research 100
- Hematology 74
- Immunology 100
Countries citing papers authored by Michaela Patz
This map shows the geographic impact of Michaela Patz'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 Michaela Patz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michaela Patz more than expected).
Fields of papers citing papers by Michaela Patz
This network shows the impact of papers produced by Michaela Patz. 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 Michaela Patz. The network helps show where Michaela Patz may publish in the future.
Co-authors
The 25 scholars most cited alongside Michaela Patz, 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 | 2009 | 118 | |
| 2 | 2010 | 101 | |
| 3 | 2008 | 82 | |
| 4 | 2012 | 43 | |
| 5 | 2011 | 35 | |
| 6 | 2010 | 25 | |
| 7 | 2010 | 14 | |
| 8 | 2012 | 9 | |
| 9 | 2016 | 5 | |
| 10 | 2009 | 5 | |
| 11 | 2010 | 2 | |
| 12 | 2012 | 2 |
About Michaela Patz
Michaela Patz is a scholar working on Genetics, Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine, having authored 12 papers that have together received 441 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (10 papers), Phagocytosis and Immune Regulation (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Cell death mechanisms and regulation (2 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Genetics (217 citations), Pathology and Forensic Medicine (145 citations), Cancer Research (100 citations), Hematology (74 citations) and Immunology (100 citations). Michaela Patz has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Clemens‐Martin Wendtner, Michael Hallek, Günter Krause, Christian P. Pallasch, Lukas P. Frenzel, Julia Claasen, Pablo Umaña, Christian Klein, Alexandra Schulz and Reinhild Brinker. Their work appears in journals such as Blood, British Journal of Haematology, Journal of Biological Chemistry, Oncology Research and Treatment and Leukemia & lymphoma.
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.