Daniel Nowak

9.2k total citations · 2 hit papers
102 papers, 3.5k citations indexed

About

Daniel Nowak is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Daniel Nowak has authored 102 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Hematology, 48 papers in Molecular Biology and 19 papers in Genetics. Recurrent topics in Daniel Nowak's work include Acute Myeloid Leukemia Research (42 papers), Chronic Myeloid Leukemia Treatments (16 papers) and Acute Lymphoblastic Leukemia research (12 papers). Daniel Nowak is often cited by papers focused on Acute Myeloid Leukemia Research (42 papers), Chronic Myeloid Leukemia Treatments (16 papers) and Acute Lymphoblastic Leukemia research (12 papers). Daniel Nowak collaborates with scholars based in Germany, United States and Japan. Daniel Nowak's co-authors include Maximilian Mossner, H. Phillip Koeffler, Gero Hütter, Eckhard Thiel, Wolf K. Hofmann, Jörg Hofmann, Susanne Ganepola, Kristina Allers, Claudia Kücherer and Igor Wolfgang Blau and has published in prestigious journals such as New England Journal of Medicine, Nature Communications and Nature Genetics.

In The Last Decade

Daniel Nowak

98 papers receiving 3.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Long-Term Control of HIV by CCR5 Delta32/Delta32 Stem-Cell Transplantation

2009 1.3k citations Gero Hütter, Daniel Nowak et al. New England Journal of Medicine profile →
Human haematopoietic stem cell lineage commitment is a continuous process

2017 539 citations Lars Velten, Simon Haas et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Daniel Nowak Germany	22	1.7k	864	854	788	525	102	3.5k
Franak Batliwalla United States	28	1.1k 0.7×	304 0.4×	243 0.3×	3.0k 3.8×	163 0.3×	37	5.2k
Shigemi Kinoshita Japan	19	1.6k 1.0×	397 0.5×	135 0.2×	1.4k 1.8×	186 0.4×	29	3.5k
Anna Tsykin Australia	26	3.7k 2.2×	942 1.1×	92 0.1×	731 0.9×	519 1.0×	35	5.8k
James Scott United Kingdom	31	3.3k 1.9×	396 0.5×	135 0.2×	476 0.6×	216 0.4×	51	5.6k
Hugh J.M. Brady United Kingdom	35	2.0k 1.2×	118 0.1×	489 0.6×	2.0k 2.5×	74 0.1×	73	4.4k
Daniela Milani Italy	28	1.2k 0.7×	429 0.5×	113 0.1×	581 0.7×	89 0.2×	80	2.2k
Daniel E. Sabath United States	24	1.0k 0.6×	85 0.1×	445 0.5×	543 0.7×	98 0.2×	66	2.7k
Marianne T. Sweetser United States	31	2.1k 1.2×	72 0.1×	399 0.5×	2.2k 2.8×	191 0.4×	76	6.2k
Cornelis L. Verweij Netherlands	34	2.4k 1.4×	88 0.1×	433 0.5×	2.0k 2.6×	113 0.2×	62	6.1k
Mary Gerhart United States	14	1.7k 1.0×	111 0.1×	346 0.4×	1.4k 1.7×	122 0.2×	22	4.2k

Countries citing papers authored by Daniel Nowak

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel Nowak

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Nowak. A scholar is included among the top collaborators of Daniel Nowak based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Nowak. Daniel Nowak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Diehl, Steffen J., Tobias Boch, Frank G. Zöllner, et al.. (2025). Targeting tumoral heterogeneity in lung cancer: a novel, CT-texture-guided targeted biopsy approach with exome sequencing. npj Precision Oncology. 9(1). 342–342.

Xu, Qingyu, Ling Ma, Eva Altrock, et al.. (2025). Machine learning-based in-silico analysis identifies signatures of lysyl oxidases for prognostic and therapeutic response prediction in cancer. Cell Communication and Signaling. 23(1). 169–169.

Garcia, Jacqueline S., Uwe Platzbecker, Olatoyosi Odenike, et al.. (2024). Efficacy and safety of venetoclax plus azacitidine for patients with treatment-naive high-risk myelodysplastic syndromes. Blood. 145(11). 1126–1135. 7 indexed citations

Xu, Qingyu, Eva Altrock, Verena Nowak, et al.. (2023). In Silico Pan-Cancer Analysis Reveals Prognostic Role of the Erythroferrone (ERFE) Gene in Human Malignancies. International Journal of Molecular Sciences. 24(2). 1725–1725. 1 indexed citations

Grimm, Veronika, Daniel Nowak, Lars Schewe, et al.. (2021). A tractable multi-leader multi-follower peak-load-pricing model with strategic interaction. Mathematical Programming. 195(1-2). 605–647. 3 indexed citations

Velten, Lars, Pablo Hernández-Malmierca, Simon Raffel, et al.. (2021). Identification of leukemic and pre-leukemic stem cells by clonal tracking from single-cell transcriptomics. Nature Communications. 12(1). 1366–1366. 89 indexed citations

Metzger, Patrick, Martin Boeker, Till Acker, et al.. (2020). Requirements Analysis and Specification for a Molecular Tumor Board Platform Based on cBioPortal. Diagnostics. 10(2). 93–93. 25 indexed citations

Jann, Johann-Christoph, Florian Nolte, Verena Nowak, et al.. (2020). RNA-sequencing of acute promyelocytic leukemia primary blasts reveals novel molecular biomarkers of early death events. Leukemia & lymphoma. 61(13). 3066–3077. 4 indexed citations

Flach, Johanna, Johann-Christoph Jann, Vladimir Riabov, et al.. (2020). Replication stress signaling is a therapeutic target in myelodysplastic syndromes with splicing factor mutations. Haematologica. 106(11). 2906–2917. 24 indexed citations

10.

Neumann, Martín, Sebastian Vosberg, Alva Rani James, et al.. (2016). Molecular alterations in bone marrow mesenchymal stromal cells derived from acute myeloid leukemia patients. Leukemia. 31(5). 1069–1078. 81 indexed citations

11.

Erben, Philipp, Daniel Nowak, Christian Sauer, et al.. (2012). Molecular Analysis of Desmoid Tumors with a High-Density Single-Nucleotide Polymorphism Array Identifies New Molecular Candidate Lesions. Oncology Research and Treatment. 35(11). 684–689. 2 indexed citations

12.

Akagi, Tadayuki, Nils H. Thoennissen, Gay M. Crooks, et al.. (2010). In Vivo Deficiency of Both C/EBPβ and C/EBPε Results in Highly Defective Myeloid Differentiation and Lack of Cytokine Response. PLoS ONE. 5(11). e15419–e15419. 44 indexed citations

13.

Nowak, Daniel, Marc‐Henri Stern, Norihiko Kawamata, et al.. (2009). Molecular allelokaryotyping of T-cell prolymphocytic leukemia cells with high density single nucleotide polymorphism arrays identifies novel common genomic lesions and acquired uniparental disomy. Haematologica. 94(4). 518–527. 19 indexed citations

14.

Hütter, Gero, Daniel Nowak, Maximilian Mossner, et al.. (2009). Long-Term Control of HIV by CCR5 Delta32/Delta32 Stem-Cell Transplantation. New England Journal of Medicine. 360(7). 692–698. 1250 indexed citations breakdown →

15.

Boehrer, Simone, Daniel Nowak, Elena Puccetti, et al.. (2006). Prostate-apoptosis-response-gene-4 increases sensitivity to TRAIL-induced apoptosis. Leukemia Research. 30(5). 597–605. 21 indexed citations

16.

Nowak, Daniel, Maximilian Mossner, Claudia D. Baldus, et al.. (2006). Mutation Analysis of hCDC4 in AML Cells Identifies a New Intronic Polymorphism. International Journal of Medical Sciences. 3(4). 148–151. 11 indexed citations

17.

Boehrer, Simone, Daniel Nowak, Seung Wook Kim, et al.. (2005). Expression of Daxx sensitizes Jurkat T-cells to the apoptosis-inducing effect of chemotherapeutic agents. Pharmacological Research. 51(4). 367–374. 4 indexed citations

18.

Boehrer, Simone, Daniel Nowak, Dieter Hoelzer, et al.. (2004). Daxx overexpression in T-lymphoblastic Jurkat cells enhances caspase-dependent death receptor- and drug-induced apoptosis in distinct ways. Cellular Signalling. 17(5). 581–595. 16 indexed citations

19.

Boehrer, Simone, Daniel Nowak, Marion Bergmann, et al.. (2004). In malignant myeloid cells expression of Daxx downregulates expression of p53 and of the inhibitors of apoptosis proteins. The Hematology Journal. 5(6). 513–518. 1 indexed citations

20.

Chow, Kai Uwe, Daniel Nowak, Simone Boehrer, et al.. (2003). Synergistic effects of chemotherapeutic drugs in lymphoma cells are associated with down-regulation of inhibitor of apoptosis proteins (IAPs), prostate-apoptosis-response-gene 4 (Par-4), death-associated protein (Daxx) and with enforced caspase activation. Biochemical Pharmacology. 66(5). 711–724. 32 indexed citations

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.

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