Anna Paruzynski
Impact in
- Genetics top 10%
- Virus-based gene therapy research
- Chronic Lymphocytic Leukemia Research
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- CAR-T cell therapy research
Papers in
-
- CRISPR and Genetic Engineering 7
- Viral Infectious Diseases and Gene Expression in Insects 5
- RNA Interference and Gene Delivery 3
- Genetics 11
- Virus-based gene therapy research 11
- Chronic Lymphocytic Leukemia Research 2
- Co-authors
- Manfred Schmidt (14 shared papers)Christof von Kalle (13 shared papers)Hanno Glimm (10 shared papers)Anne I.J. Arens (5 shared papers)Cynthia C. Bartholomae (4 shared papers)Richard Gabriel (2 shared papers)Stephan Wolf (1 shared paper)Wei Wang (1 shared paper)
- Journals
- Molecular Therapy (4 papers)Human Gene Therapy Methods (1 paper)British Journal of Haematology (1 paper)Nature Communications (1 paper)Leukemia (1 paper)
- Partner nations
- GermanyUnited KingdomAustria
In The Last Decade
Anna Paruzynski
15 papers receiving 473 citations
Peers
Comparison fields: 5 of 51
- Genetics 247
- Oncology 162
- Immunology 118
- Genetics 47
- Molecular Biology 299
Countries citing papers authored by Anna Paruzynski
This map shows the geographic impact of Anna Paruzynski'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 Anna Paruzynski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Paruzynski more than expected).
Fields of papers citing papers by Anna Paruzynski
This network shows the impact of papers produced by Anna Paruzynski. 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 Anna Paruzynski. The network helps show where Anna Paruzynski may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Paruzynski, 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 | 2010 | 122 | |
| 2 | 2015 | 84 | |
| 3 | 2011 | 69 | |
| 4 | 2011 | 41 | |
| 5 | 2012 | 38 | |
| 6 | 2013 | 31 | |
| 7 | 2014 | 20 | |
| 8 | 2017 | 13 | |
| 9 | 2021 | 11 | |
| 10 | 2014 | 9 | |
| 11 | 2015 | 9 | |
| 12 | 2018 | 9 | |
| 13 | 2015 | 9 | |
| 14 | 2013 | 7 | |
| 15 | 2012 | 4 |
About Anna Paruzynski
Anna Paruzynski is a scholar working on Molecular Biology, Genetics, Oncology, Genetics and Immunology, having authored 15 papers that have together received 476 indexed citations. Recurring topics across this work include Virus-based gene therapy research (11 papers), CRISPR and Genetic Engineering (7 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), CAR-T cell therapy research (4 papers), RNA Interference and Gene Delivery (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), MicroRNA in disease regulation (1 paper) and Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Genetics (247 citations), Oncology (162 citations), Immunology (118 citations), Genetics (47 citations) and Molecular Biology (299 citations). Anna Paruzynski has collaborated with scholars based in Germany, United Kingdom and Austria. Frequent co-authors include Manfred Schmidt, Christof von Kalle, Hanno Glimm, Anne I.J. Arens, Cynthia C. Bartholomae, Richard Gabriel, Stephan Wolf, Wei Wang, Raffaele Fronza and Sergij Goerdt. Their work appears in journals such as Molecular Therapy, Human Gene Therapy Methods, British Journal of Haematology, Nature Communications and Leukemia.
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.