Natali Pflug
Impact in
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
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- Lymphoma Diagnosis and Treatment
Papers in
- Genetics 23
- Chronic Lymphocytic Leukemia Research 23
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- Lymphoma Diagnosis and Treatment 21
- Co-authors
- Michael Hallek (21 shared papers)Barbara Eichhorst (14 shared papers)Stephan Stilgenbauer (14 shared papers)Kirsten Fischer (14 shared papers)Jasmin Bahlo (11 shared papers)Anna‐Maria Fink (8 shared papers)Paula Cramer (10 shared papers)Hartmut Döhner (8 shared papers)
- Journals
- Blood (8 papers)Leukemia (2 papers)Blood Advances (1 paper)Journal of the European Academy of Dermatology and Venereology (1 paper)OncoImmunology (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Natali Pflug
26 papers receiving 678 citations
Peers
Comparison fields: 5 of 56
- Genetics 434
- Pathology and Forensic Medicine 302
- Hematology 95
- Immunology 178
- Oncology 203
Countries citing papers authored by Natali Pflug
This map shows the geographic impact of Natali Pflug'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 Natali Pflug with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natali Pflug more than expected).
Fields of papers citing papers by Natali Pflug
This network shows the impact of papers produced by Natali Pflug. 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 Natali Pflug. The network helps show where Natali Pflug may publish in the future.
Co-authors
The 25 scholars most cited alongside Natali Pflug, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 182 | |
| 2 | 2017 | 87 | |
| 3 | 2016 | 84 | |
| 4 | 2010 | 48 | |
| 5 | 2013 | 41 | |
| 6 | 2010 | 39 | |
| 7 | 2016 | 37 | |
| 8 | 2015 | 28 | |
| 9 | 2015 | 26 | |
| 10 | 2013 | 19 | |
| 11 | 2016 | 18 | |
| 12 | 2017 | 13 | |
| 13 | 2018 | 13 | |
| 14 | 2011 | 8 | |
| 15 | 2017 | 7 | |
| 16 | 2010 | 7 | |
| 17 | 2011 | 7 | |
| 18 | 2022 | 4 | |
| 19 | 2015 | 4 | |
| 20 | 2021 | 4 |
About Natali Pflug
Natali Pflug is a scholar working on Genetics, Pathology and Forensic Medicine, Immunology, Pulmonary and Respiratory Medicine and Oncology, having authored 27 papers that have together received 688 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (23 papers), Lymphoma Diagnosis and Treatment (21 papers), Immunodeficiency and Autoimmune Disorders (9 papers), Advanced Breast Cancer Therapies (4 papers), Chronic Myeloid Leukemia Treatments (2 papers), Viral-associated cancers and disorders (2 papers), Immune Cell Function and Interaction (2 papers) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Genetics (434 citations), Pathology and Forensic Medicine (302 citations), Hematology (95 citations), Immunology (178 citations) and Oncology (203 citations). Natali Pflug has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Michael Hallek, Barbara Eichhorst, Stephan Stilgenbauer, Kirsten Fischer, Jasmin Bahlo, Anna‐Maria Fink, Paula Cramer, Hartmut Döhner, Raymonde Busch and Clemens‐Martin Wendtner. Their work appears in journals such as Blood, Leukemia, Blood Advances, Journal of the European Academy of Dermatology and Venereology and OncoImmunology.
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.