Daniel Nowak
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
Papers in ⓘ
- Hematology 55
- Acute Myeloid Leukemia Research 42
- Chronic Myeloid Leukemia Treatments 16
- Genetics 19
- Myeloproliferative Neoplasms: Diagnosis and Treatment 8
- Chronic Lymphocytic Leukemia Research 8
- Co-authors
- Maximilian Mossner (20 shared papers)Gero Hütter (7 shared papers)H. Phillip Koeffler (9 shared papers)Eckhard Thiel (8 shared papers)Wolf K. Hofmann (4 shared papers)Olga Blau (1 shared paper)Susanne Ganepola (1 shared paper)Claudia Kücherer (1 shared paper)
- Journals
- Blood (21 papers)Leukemia Research (5 papers)Experimental Hematology (5 papers)Haematologica (4 papers)Nature Communications (2 papers)
- Partner nations
- GermanyUnited StatesJapan
In The Last Decade
Daniel Nowak
98 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Virology 864
- Hematology 854
- Immunology 788
- Infectious Diseases 525
- Genetics 300
Countries citing papers authored by Daniel Nowak
This map shows the geographic impact of Daniel Nowak'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 Daniel Nowak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Nowak more than expected).
Fields of papers citing papers by Daniel Nowak
This network shows the impact of papers produced by Daniel Nowak. 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 Daniel Nowak. The network helps show where Daniel Nowak may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Nowak, 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 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Long-Term Control of HIV by CCR5 Delta32/Delta32 Stem-Cell Transplantation Hit paper breakdown → | 2009 | 1250 |
| 2 | Human haematopoietic stem cell lineage commitment is a continuous process Hit paper breakdown → | 2017 | 539 |
| 3 | 2009 | 280 | |
| 4 | 2011 | 132 | |
| 5 | 2021 | 89 | |
| 6 | 2008 | 89 | |
| 7 | 2016 | 81 | |
| 8 | 2004 | 66 | |
| 9 | 2018 | 52 | |
| 10 | 2021 | 49 | |
| 11 | 2010 | 44 | |
| 12 | 2010 | 41 | |
| 13 | 2018 | 34 | |
| 14 | 2003 | 32 | |
| 15 | 2009 | 31 | |
| 16 | 2002 | 28 | |
| 17 | 2020 | 25 | |
| 18 | 2011 | 25 | |
| 19 | 2020 | 24 | |
| 20 | 1986 | 23 |
About Daniel Nowak
Daniel Nowak is a scholar working on Hematology, Genetics, Immunology, Molecular Biology and Cancer Research, having authored 102 papers that have together received 3.5k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (42 papers), Chronic Myeloid Leukemia Treatments (16 papers), Acute Lymphoblastic Leukemia research (12 papers), Retinoids in leukemia and cellular processes (10 papers), Cell death mechanisms and regulation (10 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (8 papers), Chronic Lymphocytic Leukemia Research (8 papers) and CAR-T cell therapy research (6 papers). The work is most often cited by research in Virology (864 citations), Hematology (854 citations), Immunology (788 citations), Infectious Diseases (525 citations) and Genetics (300 citations). Daniel Nowak has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include Maximilian Mossner, Gero Hütter, H. Phillip Koeffler, Eckhard Thiel, Wolf K. Hofmann, Olga Blau, Susanne Ganepola, Claudia Kücherer, Kristina Allers and Igor Wolfgang Blau. Their work appears in journals such as Blood, Leukemia Research, Experimental Hematology, Haematologica and Nature Communications.
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.