Katja Hebestreit

3.6k total citations · 3 hit papers
19 papers, 2.4k citations indexed

About

Katja Hebestreit is a scholar working on Molecular Biology, Hematology and Developmental Neuroscience. According to data from OpenAlex, Katja Hebestreit has authored 19 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 5 papers in Hematology and 4 papers in Developmental Neuroscience. Recurrent topics in Katja Hebestreit's work include Epigenetics and DNA Methylation (8 papers), RNA modifications and cancer (5 papers) and Acute Myeloid Leukemia Research (5 papers). Katja Hebestreit is often cited by papers focused on Epigenetics and DNA Methylation (8 papers), RNA modifications and cancer (5 papers) and Acute Myeloid Leukemia Research (5 papers). Katja Hebestreit collaborates with scholars based in United States, Germany and United Kingdom. Katja Hebestreit's co-authors include Anne Brunet, Hans‐Ulrich Klein, Martin Dugas, Ben W. Dulken, Dena S. Leeman, Stéphane C. Boutet, Carsten Müller‐Tidow, Shuo Han, William B. Mair and Carlos G. Silva-García and has published in prestigious journals such as Nature, Science and Nature Medicine.

In The Last Decade

Katja Hebestreit

19 papers receiving 2.4k citations

Hit Papers

align trajectories sort by overperformance

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.

Inhibition of the LSD1 (KDM1A) demethylase reactivates the all-trans-retinoic acid differentiation pathway in acute myeloid leukemia

2012 502 citations Tino Schenk, Weihsu Claire Chen et al. Nature Medicine profile →
Lysosome activation clears aggregates and enhances quiescent neural stem cell activation during aging

2018 382 citations Dena S. Leeman, Katja Hebestreit et al. Science profile →
Single-cell analysis reveals T cell infiltration in old neurogenic niches

2019 363 citations Ben W. Dulken, Matthew T. Buckley et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Katja Hebestreit United States	15	1.6k	346	317	260	259	19	2.4k
Kazuhiro Sakurada Japan	20	1.8k 1.2×	135 0.4×	230 0.7×	256 1.0×	431 1.7×	58	3.0k
Chay T. Kuo United States	23	1.5k 1.0×	273 0.8×	693 2.2×	141 0.5×	111 0.4×	32	2.7k
Matthew Zimmer United States	19	1.2k 0.8×	345 1.0×	381 1.2×	262 1.0×	49 0.2×	31	1.9k
Kai Schönig Germany	24	2.0k 1.3×	165 0.5×	87 0.3×	440 1.7×	90 0.3×	49	3.1k
Timothy LaVaute United States	17	1.6k 1.0×	179 0.5×	352 1.1×	193 0.7×	652 2.5×	17	2.8k
H. Gao United States	27	1.6k 1.0×	142 0.4×	144 0.5×	332 1.3×	53 0.2×	71	2.7k
Alexander Y. Maslov United States	19	1.2k 0.7×	119 0.3×	316 1.0×	213 0.8×	43 0.2×	45	1.8k
François D. Boussin France	33	2.0k 1.3×	416 1.2×	668 2.1×	695 2.7×	38 0.1×	93	3.6k
Stephen J. Crocker United States	34	2.0k 1.3×	1.0k 2.9×	534 1.7×	648 2.5×	100 0.4×	72	4.1k
Claus Munck Petersen Denmark	33	1.7k 1.1×	121 0.3×	302 1.0×	894 3.4×	169 0.7×	69	3.6k

Countries citing papers authored by Katja Hebestreit

Since Specialization

Citations

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

Fields of papers citing papers by Katja Hebestreit

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katja Hebestreit. 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 Katja Hebestreit. The network helps show where Katja Hebestreit may publish in the future.

Co-authorship network of co-authors of Katja Hebestreit

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

All Works

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19 of 19 papers shown

Harel, Itamar, Inbal Ziv, Param Priya Singh, et al.. (2024). Identification of protein aggregates in the aging vertebrate brain with prion-like and phase-separation properties. Cell Reports. 43(6). 112787–112787. 3 indexed citations

Martirosyan, Araks, Rizwan Ansari, Katja Hebestreit, et al.. (2024). Unravelling cell type-specific responses to Parkinson’s Disease at single cell resolution. Molecular Neurodegeneration. 19(1). 7–7. 40 indexed citations

Booth, Lauren N., Cheng Shi, Robin W. Yeo, et al.. (2022). Males induce premature demise of the opposite sex by multifaceted strategies. Nature Aging. 2(9). 809–823. 14 indexed citations

Lamparter, David, Rajat Bhatnagar, Katja Hebestreit, et al.. (2020). A framework for integrating directed and undirected annotations to build explanatory models of cis-eQTL data. PLoS Computational Biology. 16(6). e1007770–e1007770. 2 indexed citations

Mahmoudi, Salah, Elena Mancini, Lucy Xu, et al.. (2019). Heterogeneity in old fibroblasts is linked to variability in reprogramming and wound healing. Nature. 574(7779). 553–558. 217 indexed citations

Dulken, Ben W., Matthew T. Buckley, Paloma Navarro Negredo, et al.. (2019). Single-cell analysis reveals T cell infiltration in old neurogenic niches. Nature. 571(7764). 205–210. 363 indexed citations breakdown →

Leeman, Dena S., Katja Hebestreit, Ashley E. Webb, et al.. (2018). Lysosome activation clears aggregates and enhances quiescent neural stem cell activation during aging. Science. 359(6381). 1277–1283. 382 indexed citations breakdown →

Dulken, Ben W., Dena S. Leeman, Stéphane C. Boutet, Katja Hebestreit, & Anne Brunet. (2017). Single-Cell Transcriptomic Analysis Defines Heterogeneity and Transcriptional Dynamics in the Adult Neural Stem Cell Lineage. Cell Reports. 18(3). 777–790. 234 indexed citations

Han, Shuo, Elizabeth A. Schroeder, Carlos G. Silva-García, et al.. (2017). Mono-unsaturated fatty acids link H3K4me3 modifiers to C. elegans lifespan. Nature. 544(7649). 185–190. 225 indexed citations

10.

Schulze, Isabell, Christian Rohde, Marina Scheller, et al.. (2016). Increased DNA methylation of Dnmt3b targets impairs leukemogenesis. Blood. 127(12). 1575–1586. 31 indexed citations

11.

Sauer, Tim, Marı́a Francisca Arteaga, Fabienne Isken, et al.. (2015). MYST2 acetyltransferase expression and Histone H4 Lysine acetylation are suppressed in AML. Experimental Hematology. 43(9). 794–802.e4. 20 indexed citations

12.

Schemionek, Mirle, Behzad Kharabi Masouleh, Utz Krug, et al.. (2015). Identification of the Adapter Molecule MTSS1 as a Potential Oncogene-Specific Tumor Suppressor in Acute Myeloid Leukemia. PLoS ONE. 10(5). e0125783–e0125783. 24 indexed citations

13.

Klein, Hans‐Ulrich & Katja Hebestreit. (2015). An evaluation of methods to test predefined genomic regions for differential methylation in bisulfite sequencing data. Briefings in Bioinformatics. 17(5). 796–807. 30 indexed citations

14.

Hascher, Antje, Katja Hebestreit, Christian Rohde, et al.. (2013). DNA Methyltransferase Inhibition Reverses Epigenetically Embedded Phenotypes in Lung Cancer Preferentially Affecting Polycomb Target Genes. Clinical Cancer Research. 20(4). 814–826. 41 indexed citations

15.

Hebestreit, Katja, Hans‐Ulrich Klein, & Martin Dugas. (2013). BiSeq: an R/Bioconductor package for analyzing targeted bisulfite sequencing data. 4. 1 indexed citations

16.

Hebestreit, Katja, Martin Dugas, & Hans‐Ulrich Klein. (2013). Detection of significantly differentially methylated regions in targeted bisulfite sequencing data. Bioinformatics. 29(13). 1647–1653. 172 indexed citations

17.

Hebestreit, Katja, Daniel Emden, Christian Rückert, et al.. (2012). Leukemia Gene Atlas – A Public Platform for Integrative Exploration of Genome-Wide Molecular Data. PLoS ONE. 7(6). e39148–e39148. 43 indexed citations

18.

Schenk, Tino, Weihsu Claire Chen, Stefanie Göllner, et al.. (2012). Inhibition of the LSD1 (KDM1A) demethylase reactivates the all-trans-retinoic acid differentiation pathway in acute myeloid leukemia. Nature Medicine. 18(4). 605–611. 502 indexed citations breakdown →

19.

Rohde, Christian, Katja Hebestreit, Hans‐Ulrich Klein, et al.. (2012). DNA methylation changes are a late event in acute promyelocytic leukemia and coincide with loss of transcription factor binding. Blood. 121(1). 178–187. 51 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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