Daniel Hebenstreit

2.7k total citations
45 papers, 1.9k citations indexed

About

Daniel Hebenstreit is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Daniel Hebenstreit has authored 45 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 10 papers in Immunology and 7 papers in Oncology. Recurrent topics in Daniel Hebenstreit's work include Single-cell and spatial transcriptomics (10 papers), Genomics and Chromatin Dynamics (6 papers) and Gene Regulatory Network Analysis (6 papers). Daniel Hebenstreit is often cited by papers focused on Single-cell and spatial transcriptomics (10 papers), Genomics and Chromatin Dynamics (6 papers) and Gene Regulatory Network Analysis (6 papers). Daniel Hebenstreit collaborates with scholars based in United Kingdom, Austria and Slovakia. Daniel Hebenstreit's co-authors include Jutta Horejs‐Hoeck, Albert Duschl, Sarah A. Teichmann, Gerald Wirnsberger, Muxin Gu, Alexander van Oudenaarden, Varodom Charoensawan, Mark D. Walsh, Angela E. Taylor and Wiebke Arlt and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Daniel Hebenstreit

42 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Hebenstreit United Kingdom 21 1.0k 525 291 231 151 45 1.9k
Maria Grazia Malabarba Italy 25 773 0.8× 458 0.9× 576 2.0× 163 0.7× 131 0.9× 32 1.7k
Marcos Vidal United Kingdom 25 1.3k 1.2× 724 1.4× 557 1.9× 241 1.0× 116 0.8× 36 2.6k
Junko Sasaki Japan 25 1.7k 1.6× 307 0.6× 227 0.8× 287 1.2× 214 1.4× 53 2.8k
Jean-Philippe Stéphan France 25 1.3k 1.2× 343 0.7× 405 1.4× 339 1.5× 95 0.6× 36 2.2k
John Coadwell United Kingdom 24 2.3k 2.3× 788 1.5× 339 1.2× 221 1.0× 214 1.4× 38 3.3k
Kazuhiko Uchida Japan 26 1.0k 1.0× 356 0.7× 647 2.2× 227 1.0× 125 0.8× 76 2.0k
Denis Banville Canada 25 1.5k 1.5× 563 1.1× 420 1.4× 211 0.9× 212 1.4× 37 2.4k
Véronique Fafeur France 25 1.1k 1.1× 167 0.3× 371 1.3× 241 1.0× 77 0.5× 47 1.8k
Florian Finkernagel Germany 31 1.6k 1.5× 647 1.2× 552 1.9× 508 2.2× 131 0.9× 68 2.5k
Ekrem Emrah Er United States 9 1.7k 1.7× 534 1.0× 791 2.7× 397 1.7× 122 0.8× 12 3.0k

Countries citing papers authored by Daniel Hebenstreit

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Hebenstreit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Hebenstreit

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

All Works

20 of 20 papers shown
1.
Hebenstreit, Daniel, et al.. (2024). Transcriptional bursting: from fundamentals to novel insights. Biochemical Society Transactions. 52(4). 1695–1702. 1 indexed citations
2.
Cavallaro, Massimo, et al.. (2023). Bayesian inference of polymerase dynamics over the exclusion process. Royal Society Open Science. 10(8). 221469–221469. 2 indexed citations
3.
Ashe, Mark, et al.. (2023). Ceg1 depletion reveals mechanisms governing degradation of non-capped RNAs in Saccharomyces cerevisiae. Communications Biology. 6(1). 1112–1112. 2 indexed citations
4.
Hebenstreit, Daniel, et al.. (2023). Synergising single-cell resolution and 4sU labelling boosts inference of transcriptional bursting. Genome biology. 24(1). 138–138. 4 indexed citations
5.
Mischo, Hannah E., et al.. (2022). Non-coding RNAs associated with Prader–Willi syndrome regulate transcription of neurodevelopmental genes in human induced pluripotent stem cells. Human Molecular Genetics. 32(4). 608–620. 12 indexed citations
6.
Haussmann, Irmgard U., Yanying Wu, Nathan Archer, et al.. (2022). CMTr cap-adjacent 2′-O-ribose mRNA methyltransferases are required for reward learning and mRNA localization to synapses. Nature Communications. 13(1). 1209–1209. 15 indexed citations
7.
Westgate, Connar Stanley James, Hannah Botfield, Zerin Alimajstorovic, et al.. (2021). Systemic and adipocyte transcriptional and metabolic dysregulation in idiopathic intracranial hypertension. JCI Insight. 6(10). 50 indexed citations
8.
Cavallaro, Massimo, et al.. (2021). 3 ′-5 ′ crosstalk contributes to transcriptional bursting. Genome biology. 22(1). 56–56. 14 indexed citations
9.
Gassner, Franz Josef, Nadja Zaborsky, Ilana Buchumenski, et al.. (2020). RNA editing contributes to epitranscriptome diversity in chronic lymphocytic leukemia. Leukemia. 35(4). 1053–1063. 22 indexed citations
10.
Privitera, Lucia, Lorenzo Morè, Philippa Richardson, et al.. (2020). Experience Recruits MSK1 to Expand the Dynamic Range of Synapses and Enhance Cognition. Journal of Neuroscience. 40(24). 4644–4660. 12 indexed citations
11.
Dyer, Nigel, Vahid Shahrezaei, & Daniel Hebenstreit. (2019). LiBiNorm: an htseq-count analogue with improved normalisation of Smart-seq2 data and library preparation diagnostics. PeerJ. 7. e6222–e6222. 19 indexed citations
12.
Gassner, Franz Josef, Maria Schubert, Stefan Rebhandl, et al.. (2017). Imprecision and DNA Break Repair Biased towards Incompatible End Joining in Leukemia. Molecular Cancer Research. 16(3). 428–438. 79 indexed citations
13.
O’Reilly, Michael, Punith Kempegowda, Mark D. Walsh, et al.. (2017). AKR1C3-Mediated Adipose Androgen Generation Drives Lipotoxicity in Women With Polycystic Ovary Syndrome. The Journal of Clinical Endocrinology & Metabolism. 102(9). 3327–3339. 153 indexed citations
14.
Mahata, Bidesh, Xiuwei Zhang, Aleksandra A. Kolodziejczyk, et al.. (2014). Single-Cell RNA Sequencing Reveals T Helper Cells Synthesizing Steroids De Novo to Contribute to Immune Homeostasis. Cell Reports. 7(4). 1130–1142. 163 indexed citations
15.
Hebenstreit, Daniel. (2013). Are gene loops the cause of transcriptional noise?. Trends in Genetics. 29(6). 333–338. 21 indexed citations
16.
Hebenstreit, Daniel & Sarah A. Teichmann. (2011). Analysis and simulation of gene expression profiles in pure and mixed cell populations. Physical Biology. 8(3). 35013–35013. 16 indexed citations
17.
Hebenstreit, Daniel, Muxin Gu, Syed Haider, et al.. (2010). EpiChIP: gene-by-gene quantification of epigenetic modification levels. Nucleic Acids Research. 39(5). e27–e27. 34 indexed citations
18.
Hebenstreit, Daniel & Fátima Ferreira. (2005). Structural changes in calcium‐binding allergens: use of circular dichroism to study binding characteristics. Allergy. 60(9). 1208–1211. 8 indexed citations
19.
Hebenstreit, Daniel, Gerhard Regl, Anna‐Maria Frischauf, et al.. (2003). IL-4 and IL-13 Induce SOCS-1 Gene Expression in A549 Cells by Three Functional STAT6-Binding Motifs Located Upstream of the Transcription Initiation Site. The Journal of Immunology. 171(11). 5901–5907. 57 indexed citations
20.
Ferreira, Fátima, Martin Himly, Daniel Hebenstreit, et al.. (2001). Isolation and Characterization of cDNA Clones Coding for Mugwort <i>(Artemisia vulgaris)</i> Pollen Allergens. International Archives of Allergy and Immunology. 124(1-3). 77–79. 1 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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