Wolf-Karsten Hofmann

4.7k total citations · 1 hit paper
11 papers, 1.7k citations indexed

About

Wolf-Karsten Hofmann is a scholar working on Molecular Biology, Hematology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Wolf-Karsten Hofmann has authored 11 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Hematology and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Wolf-Karsten Hofmann's work include Acute Myeloid Leukemia Research (3 papers), Acute Lymphoblastic Leukemia research (3 papers) and Single-cell and spatial transcriptomics (2 papers). Wolf-Karsten Hofmann is often cited by papers focused on Acute Myeloid Leukemia Research (3 papers), Acute Lymphoblastic Leukemia research (3 papers) and Single-cell and spatial transcriptomics (2 papers). Wolf-Karsten Hofmann collaborates with scholars based in Germany, United States and France. Wolf-Karsten Hofmann's co-authors include Wolfgang Huber, Sandra Blaszkiewicz, Daniel Nowak, Andreas Trumpp, Simon Haas, Simon Raffel, Bianca P. Hennig, Anthony D. Ho, Tobias Boch and Marieke Essers and has published in prestigious journals such as The Journal of Experimental Medicine, Journal of Clinical Oncology and Blood.

In The Last Decade

Wolf-Karsten Hofmann

9 papers receiving 1.7k 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.

Human haematopoietic stem cell lineage commitment is a continuous process

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

Peers

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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11 of 11 papers shown

#	Work	Indexed citations
1	Preanalytical framework for routine clinical use of liquid biopsies: combining EVs and cfDNA 2025 ·PubMed ·(unknown), (unknown), (unknown), Tatjana Wedig, (unknown), (unknown), (unknown), Dominic Helm, Michelle Neßling, (unknown), (unknown), (unknown), Monika Mauermann, Wolf-Karsten Hofmann, Stefan M. Pfister, Kristian W. Pajtler, Kendra K. Maaß, (unknown)	0
2	Machine learning-based in-silico analysis identifies signatures of lysyl oxidases for prognostic and therapeutic response prediction in cancer 2025 ·Cell Communication and Signaling ·Qingyu Xu, Ling Ma, (unknown), Eva Altrock, (unknown), (unknown), (unknown), Verena Nowak, Julia Obländer, (unknown), (unknown), (unknown), (unknown), Wolf-Karsten Hofmann, Daniel Nowak, Vladimir Riabov	0
3	Human haematopoietic stem cell lineage commitment is a continuous process breakdown → 2017 ·Nature Cell Biology ·Lars Velten, Simon Haas, Simon Raffel, Sandra Blaszkiewicz, Saiful Islam, Bianca P. Hennig, Christoph Hirche, Christoph Lutz, Eike C. Buss, Daniel Nowak, Tobias Boch, Wolf-Karsten Hofmann, Anthony D. Ho, Wolfgang Huber, Andreas Trumpp, Marieke Essers, Lars M. Steinmetz	539
4	Updated recommendations on the management of gastrointestinal disturbances during iron chelation therapy with Deferasirox in transfusion dependent patients with myelodysplastic syndrome – Emphasis on optimized dosing schedules and new formulations 2015 ·Leukemia Research ·Florian Nolte, Emanuele Angelucci, Massimo Breccia, Norbert Gattermann, Valeria Santini, Norbert Vey, Wolf-Karsten Hofmann	13
5	A novel autosomal recessive TERT T1129P mutation in a dyskeratosis congenita family leads to cellular senescence and loss of CD34+ hematopoietic stem cells not reversible by mTOR-inhibition 2015 ·Aging ·Clemens Stockklausner, Simon Raffel, Julia Klermund, Obul Reddy Bandapalli, Fabian Beier, Tim H. Brümmendorf, Friederike Bürger, Sven W. Sauer, Georg F. Hoffmann, Holger Lorenz, (unknown), Daniel Nowak, Wolf-Karsten Hofmann, (unknown), (unknown), Tobias Rausch, Jan O. Korbel, Brian Luke, Andreas Trumpp, Andreas E. Kulozik	12
6	Targeting survivin overcomes drug resistance in acute lymphoblastic leukemia 2011 ·Blood ·Eugene Park, Eun Ji Gang, (unknown), Paul Schaefer, (unknown), Lars Klemm, (unknown), Mignon L. Loh, Edward M. Conway, Eun‐Suk Kang, Hong Hoe Koo, Wolf-Karsten Hofmann, Nora Heisterkamp, Louis M. Pelus, Ganesan Keerthivasan, John D. Crispino, Michaël Kahn, Markus Müschen, Yong‐Mi Kim	90
7	BCL6-mediated repression of p53 is critical for leukemia stem cell survival in chronic myeloid leukemia 2011 ·The Journal of Experimental Medicine ·Christian Hurtz, Katerina Hatzi, Leandro Cerchietti, Melanie Braig, Eugene Park, Yong‐Mi Kim, Sebastian Herzog, Parham Ramezani-Rad, Hassan Jumaa, Martin C. Müller, Wolf-Karsten Hofmann, Andreas Hochhaus, B. Hilda Ye, Anupriya Agarwal, Brian Druker, Neil P. Shah, Ari Melnick, Markus Müschen	138
8	Clinical Utility of Microarray-Based Gene Expression Profiling in the Diagnosis and Subclassification of Leukemia: Report From the International Microarray Innovations in Leukemia Study Group 2010 ·Journal of Clinical Oncology ·Torsten Haferlach, Alexander Kohlmann, Lothar Wieczorek, Giuseppe Basso, Geertruy te Kronnie, Marie C. Béné, John De Vos, Jesús María Hernández‐Rivas, Wolf-Karsten Hofmann, Ken Mills, Amanda Gilkes, Sabina Chiaretti, Sheila Shurtleff, Thomas J. Kipps, Laura Z. Rassenti, Allen Eng Juh Yeoh, Peter Papenhausen, Wei‐Min Liu, Paul Williams, Robin Foà	468
9	A clinical and immunologic phase 2 trial of Wilms tumor gene product 1 (WT1) peptide vaccination in patients with AML and MDS 2009 ·Blood ·Ulrich Keilholz, Anne Letsch, Antonia Busse, Anne Marie Asemissen, Sandra Bauer, Igor Wolfgang Blau, Wolf-Karsten Hofmann, Lutz Uharek, Eckhard Thiel, Carmen Scheibenbogen	236
10	HDAC5 is a repressor of angiogenesis and determines the angiogenic gene expression pattern of endothelial cells 2009 ·Blood ·Carmen Urbich, Lothar Rössig, David Kaluza, Michael Potente, Jes-Niels Boeckel, Andrea Knau, Florian Diehl, Jian-Guo Geng, Wolf-Karsten Hofmann, Andreas M. Zeiher, Stefanie Dimmeler	133
11	Gene Expression Profile of Serial Samples of Transformed B-Cell Lymphomas 2003 ·Laboratory Investigation ·Sven de Vos, Wolf-Karsten Hofmann, Thomas M. Grogan, Utz Krug, (unknown), Thomas P. Miller, Jonathan Braun, William Wachsman, H. Phillip Koeffler, Jonathan W. Said	98

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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