Wolf‐Karsten Hofmann

12.4k total citations · 1 hit paper
251 papers, 6.7k citations indexed

About

Wolf‐Karsten Hofmann is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Wolf‐Karsten Hofmann has authored 251 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 141 papers in Hematology, 77 papers in Molecular Biology and 70 papers in Genetics. Recurrent topics in Wolf‐Karsten Hofmann's work include Acute Myeloid Leukemia Research (88 papers), Chronic Myeloid Leukemia Treatments (59 papers) and Eosinophilic Disorders and Syndromes (37 papers). Wolf‐Karsten Hofmann is often cited by papers focused on Acute Myeloid Leukemia Research (88 papers), Chronic Myeloid Leukemia Treatments (59 papers) and Eosinophilic Disorders and Syndromes (37 papers). Wolf‐Karsten Hofmann collaborates with scholars based in Germany, United States and United Kingdom. Wolf‐Karsten Hofmann's co-authors include Stefanie Dimmeler, Dieter Hoelzer, Andreas M. Zeiher, Eckhard Thiel, Oliver G. Ottmann, Alice Fabarius, Thomas J. Vogl, Birgit Aßmus, Nasreddin Abolmaali and Volker Schächinger and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Wolf‐Karsten Hofmann

238 papers receiving 6.6k 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.

Transplantation of progenitor cells and regeneration enhancement in acute myocardial infarction

2004 813 citations Volker Schächinger, Birgit Aßmus et al. Journal of the American College of Cardiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wolf‐Karsten Hofmann Germany	42	2.9k	2.6k	1.9k	1.1k	805	251	6.7k
Irene Roberts United Kingdom	49	2.7k 0.9×	3.7k 1.4×	3.3k 1.7×	2.0k 1.7×	531 0.7×	190	9.4k
Norio Komatsu Japan	44	2.6k 0.9×	2.8k 1.1×	1.8k 1.0×	1.4k 1.2×	525 0.7×	384	6.7k
Benjamin H. Lee United States	34	3.4k 1.2×	2.7k 1.0×	2.1k 1.1×	722 0.6×	440 0.5×	70	6.2k
Oskar A. Haas Austria	48	2.4k 0.8×	3.6k 1.4×	1.1k 0.6×	743 0.7×	480 0.6×	264	7.2k
Peter Hokland Denmark	39	2.5k 0.9×	3.2k 1.2×	1.2k 0.6×	1.1k 0.9×	572 0.7×	232	6.1k
Walter Fiedler Germany	45	5.0k 1.7×	3.9k 1.5×	1.8k 0.9×	1.4k 1.3×	1.2k 1.5×	299	9.5k
Carmelo Carlo‐Stella Italy	40	2.4k 0.8×	2.4k 0.9×	3.4k 1.8×	2.1k 1.9×	640 0.8×	350	9.1k
Leslie E. Silberstein United States	43	2.8k 1.0×	1.8k 0.7×	1.5k 0.8×	2.8k 2.4×	465 0.6×	116	7.9k
Andre C. Schuh Canada	35	4.9k 1.7×	2.5k 1.0×	947 0.5×	868 0.8×	1.0k 1.3×	181	7.8k
Yasuhide Hayashi Japan	45	4.1k 1.4×	2.9k 1.1×	727 0.4×	604 0.5×	849 1.1×	226	7.1k

Countries citing papers authored by Wolf‐Karsten Hofmann

Since Specialization

Citations

This map shows the geographic impact of Wolf‐Karsten Hofmann'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 Wolf‐Karsten Hofmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wolf‐Karsten Hofmann more than expected).

Fields of papers citing papers by Wolf‐Karsten Hofmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wolf‐Karsten Hofmann. 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 Wolf‐Karsten Hofmann. The network helps show where Wolf‐Karsten Hofmann may publish in the future.

Co-authorship network of co-authors of Wolf‐Karsten Hofmann

This figure shows the co-authorship network connecting the top 25 collaborators of Wolf‐Karsten Hofmann. A scholar is included among the top collaborators of Wolf‐Karsten Hofmann 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 Wolf‐Karsten Hofmann. Wolf‐Karsten Hofmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Lübke, Johannes, Nicole Naumann, Roland Repp, et al.. (2025). Midostaurin in daily clinical practice of patients with advanced systemic mastocytosis. British Journal of Haematology. 207(4). 1388–1396. 1 indexed citations

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.

Metzgeroth, Georgia, Nicole Naumann, Johannes Lübke, et al.. (2023). Myeloid/lymphoid neoplasms with eosinophilia and tyrosine kinase gene fusions: reevaluation of the defining characteristics in a registry-based cohort. Leukemia. 37(9). 1860–1867. 10 indexed citations

Schumacher, G., et al.. (2023). Hemodynamic and Stress Response After Sound Intervention with Different Headphone Systems: A Double-Blind Randomized Study in Healthy Volunteers Working in the Health Care Sector. Journal of Integrative and Complementary Medicine. 30(4). 360–370.

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

Naumann, Nicole, Johannes Lübke, William Shomali, et al.. (2021). Clinical and histopathological features of myeloid neoplasms with concurrent Janus kinase 2 (JAK2) V617F and KIT proto‐oncogene, receptor tyrosine kinase (KIT) D816V mutations. British Journal of Haematology. 194(2). 344–354. 9 indexed citations

Schwaab, Juliana, Knut Brockow, Philipp Riffel, et al.. (2021). Low risk of contrast media-induced hypersensitivity reactions in all subtypes of systemic mastocytosis. Annals of Allergy Asthma & Immunology. 128(3). 314–318. 4 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

Buchheidt, Dieter, Mark Reinwald, Wolf‐Karsten Hofmann, Tobias Boch, & Birgit Spieß. (2017). Evaluating the use of PCR for diagnosing invasive aspergillosis. Expert Review of Molecular Diagnostics. 17(6). 603–610. 13 indexed citations

10.

Haaß, Wiltrud, Christel Weiß, Brigitte Schlegelberger, et al.. (2015). Clonal Evolution and Blast Crisis Correlate with Enhanced Proteolytic Activity of Separase in BCR-ABL b3a2 Fusion Type CML under Imatinib Therapy. PLoS ONE. 10(6). e0129648–e0129648. 14 indexed citations

11.

Neumann, Martín, Sandra Heesch, Cornelia Schlee, et al.. (2013). Whole-exome sequencing in adult ETP-ALL reveals a high rate of DNMT3A mutations. Blood. 121(23). 4749–4752. 143 indexed citations

12.

Erben, Philipp, Juliana Schwaab, Georgia Metzgeroth, et al.. (2013). The KIT D816V expressed allele burden for diagnosis and disease monitoring of systemic mastocytosis. Annals of Hematology. 93(1). 81–88. 80 indexed citations

13.

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

14.

Steidler, Annette, Jens Mayer, Philipp Erben, et al.. (2012). HERV-E-Mediated Modulation of PLA2G4A Transcription in Urothelial Carcinoma. PLoS ONE. 7(11). e49341–e49341. 28 indexed citations

15.

Mossner, Maximilian, Martín Neumann, Uwe Platzbecker, et al.. (2010). Transcriptional down-regulation of the Wnt antagonist SFRP1 in haematopoietic cells of patients with different risk types of MDS. Leukemia Research. 34(12). 1610–1616. 31 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.

Klein, Florian, Niklas Feldhahn, Jana L. Mooster, et al.. (2005). Tracing the Pre-B to Immature B Cell Transition in Human Leukemia Cells Reveals a Coordinated Sequence of Primary and Secondary IGK Gene Rearrangement, IGK Deletion, and IGL Gene Rearrangement. The Journal of Immunology. 174(1). 367–375. 34 indexed citations

18.

Vogel, Jens‐Uwe, et al.. (2004). Impact of persistent cytomegalovirus infection on human neuroblastoma cell gene expression. Biochemical and Biophysical Research Communications. 326(2). 395–401. 7 indexed citations

19.

Schächinger, Volker, Birgit Aßmus, Martina Britten, et al.. (2004). Transplantation of progenitor cells and regeneration enhancement in acute myocardial infarction. Journal of the American College of Cardiology. 44(8). 1690–1699. 813 indexed citations breakdown →

20.

Kalina, Uwe, Noriko Koyama, Steffen Koschmieder, et al.. (2000). IL-18 Activates STAT3 in the Natural Killer Cell Line 92, Augments Cytotoxic Activity, and Mediates IFN-γ Production by the Stress Kinase p38 and by the Extracellular Regulated Kinases p44 erk-1 and p42 erk-2 1. The Journal of Immunology. 165(3). 1307–1313. 122 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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