Martina Przekopowitz
Impact in
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunodeficiency and Autoimmune Disorders
- Immunotherapy and Immune Responses
Papers in
- Genetics 3
- Chronic Lymphocytic Leukemia Research 3
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- T-cell and B-cell Immunology 3
- Immune Cell Function and Interaction 3
- Co-authors
- Ralf Küppers (4 shared papers)Marc Seifert (3 shared papers)Monika Lindemann (1 shared paper)Uwe Hillen (1 shared paper)Harald Engler (1 shared paper)Bernhard B. Singer (1 shared paper)Anna Lollies (1 shared paper)Bettina Budeus (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)International Journal of Cancer (1 paper)Nature Genetics (1 paper)Immunology and Cell Biology (1 paper)Blood (1 paper)
- Partner nations
- GermanyUnited StatesUkraine
In The Last Decade
Martina Przekopowitz
6 papers receiving 512 citations
Peers
Comparison fields: 5 of 52
- Genetics 173
- Immunology 266
- Pathology and Forensic Medicine 125
- Hematology 38
- Transplantation 8
Countries citing papers authored by Martina Przekopowitz
This map shows the geographic impact of Martina Przekopowitz'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 Martina Przekopowitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martina Przekopowitz more than expected).
Fields of papers citing papers by Martina Przekopowitz
This network shows the impact of papers produced by Martina Przekopowitz. 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 Martina Przekopowitz. The network helps show where Martina Przekopowitz may publish in the future.
Co-authors
The 22 scholars most cited alongside Martina Przekopowitz, 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 | 2016 | 247 | |
| 2 | 2015 | 176 | |
| 3 | 2015 | 56 | |
| 4 | 2015 | 33 | |
| 5 | 2015 | 5 | |
| 6 | 2015 | 1 |
About Martina Przekopowitz
Martina Przekopowitz is a scholar working on Genetics, Immunology, Oncology, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 6 papers that have together received 518 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (3 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Pancreatic and Hepatic Oncology Research (2 papers), Peptidase Inhibition and Analysis (1 paper), Cancer-related molecular mechanisms research (1 paper), Pancreatic function and diabetes (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Genetics (173 citations), Immunology (266 citations), Pathology and Forensic Medicine (125 citations), Hematology (38 citations) and Transplantation (8 citations). Martina Przekopowitz has collaborated with scholars based in Germany, United States and Ukraine. Frequent co-authors include Ralf Küppers, Marc Seifert, Monika Lindemann, Uwe Hillen, Harald Engler, Bernhard B. Singer, Anna Lollies, Bettina Budeus, Daniel E. Hoffmann and Marc A. Weniger. Their work appears in journals such as Proceedings of the National Academy of Sciences, International Journal of Cancer, Nature Genetics, Immunology and Cell Biology 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.