Carsten O. Daub

18.7k total citations · 1 hit paper
77 papers, 4.7k citations indexed

About

Carsten O. Daub is a scholar working on Molecular Biology, Cancer Research and Physiology. According to data from OpenAlex, Carsten O. Daub has authored 77 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 23 papers in Cancer Research and 9 papers in Physiology. Recurrent topics in Carsten O. Daub's work include Cancer-related molecular mechanisms research (19 papers), Genomics and Chromatin Dynamics (19 papers) and RNA Research and Splicing (19 papers). Carsten O. Daub is often cited by papers focused on Cancer-related molecular mechanisms research (19 papers), Genomics and Chromatin Dynamics (19 papers) and RNA Research and Splicing (19 papers). Carsten O. Daub collaborates with scholars based in Japan, Sweden and Australia. Carsten O. Daub's co-authors include Yoshihide Hayashizaki, Joachim Selbig, Ralf Steuer, Timo Lassmann, Yoshihide Hayashizaki, Piero Carninci, Jens Weise, Jürgen Kurths, Alistair R. R. Forrest and Harukazu Suzuki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Genetics.

In The Last Decade

Carsten O. Daub

77 papers receiving 4.6k 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.

The mutual information: Detecting and evaluating dependencies betweenvariables

2002 565 citations Carsten O. Daub et al. profile →

Peers

Carsten O. Daub

GENET

PHYSI

Jan Gorodkin Denmark

Alberto Pascual-Montano Spain

Hans‐Peter Lenhof Germany

Luciano Milanesi Italy

Panayiotis V. Benos United States

Youping Deng United States

Jennifer Harrow United Kingdom

Keiichiro Ono United States

Magnus Åstrand Sweden

Zhijin Wu United States

Jan Gorodkin Denmark

Carsten O. Daub

4.9k ×1.4

1.7k ×1.3

532 ×1.3

GENET

149 ×0.4

PHYSI

316 ×0.9

Citations per year, relative to Carsten O. Daub Carsten O. Daub (= 1×) peers Jan Gorodkin

Countries citing papers authored by Carsten O. Daub

Since Specialization

Citations

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

Fields of papers citing papers by Carsten O. Daub

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carsten O. Daub. 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 Carsten O. Daub. The network helps show where Carsten O. Daub may publish in the future.

Co-authorship network of co-authors of Carsten O. Daub

This figure shows the co-authorship network connecting the top 25 collaborators of Carsten O. Daub. A scholar is included among the top collaborators of Carsten O. Daub 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 Carsten O. Daub. Carsten O. Daub 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

Katayama, Shintaro, Andres Salumets, Tõnis Org, et al.. (2025). Oxygen level alters energy metabolism in bovine preimplantation embryos. Scientific Reports. 15(1). 11327–11327. 1 indexed citations

Ezer, Sini, Masahito Yoshihara, Shintaro Katayama, et al.. (2021). Generation of RNA sequencing libraries for transcriptome analysis of globin-rich tissues of the domestic dog. STAR Protocols. 2(4). 100995–100995. 5 indexed citations

Arnberg, Fabian, et al.. (2021). Micro-biopsy for detection of gene expression changes in ischemic swine myocardium: A pilot study. PLoS ONE. 16(4). e0250582–e0250582. 1 indexed citations

Ha, Thomas J, Peter Zhang, Joanna Yeung, et al.. (2019). Identification of novel cerebellar developmental transcriptional regulators with motif activity analysis. BMC Genomics. 20(1). 11 indexed citations

Alhendi, Ahmad M. N., Margaret Patrikakis, Carsten O. Daub, et al.. (2018). Promoter Usage and Dynamics in Vascular Smooth Muscle Cells Exposed to Fibroblast Growth Factor-2 or Interleukin-1β. Scientific Reports. 8(1). 13164–13164. 8 indexed citations

Yu, Nancy, Shintaro Katayama, Elísabet Einarsdóttir, et al.. (2017). Acute doses of caffeine shift nervous system cell expression profiles toward promotion of neuronal projection growth. Scientific Reports. 7(1). 11458–11458. 14 indexed citations

Baillie, J. Kenneth, Erik Arner, Carsten O. Daub, et al.. (2017). Analysis of the human monocyte-derived macrophage transcriptome and response to lipopolysaccharide provides new insights into genetic aetiology of inflammatory bowel disease. PLoS Genetics. 13(3). e1006641–e1006641. 94 indexed citations

Klein, Sarah, Lothar C. Dieterich, Anthony Mathelier, et al.. (2016). DeepCAGE transcriptomics identify HOXD10 as a transcription factor regulating lymphatic endothelial responses to VEGF-C. Journal of Cell Science. 129(13). 2573–2585. 16 indexed citations

Mina, Marco, Giuseppe Jurman, Masayoshi Itoh, et al.. (2015). Promoter-level expression clustering identifies time development of transcriptional regulatory cascades initiated by ErbB receptors in breast cancer cells. Scientific Reports. 5(1). 11999–11999. 23 indexed citations

10.

Sakata, Katsumi, Hajime Ohyanagi, Shinji Sato, et al.. (2015). System-wide analysis of the transcriptional network of human myelomonocytic leukemia cells predicts attractor structure and phorbol-ester-induced differentiation and dedifferentiation transitions. Scientific Reports. 5(1). 8283–8283. 3 indexed citations

11.

Gao, Hui, Niklas Mejhert, Jackie A. Fretz, et al.. (2014). Early B Cell Factor 1 Regulates Adipocyte Morphology and Lipolysis in White Adipose Tissue. Cell Metabolism. 19(6). 981–992. 83 indexed citations

12.

Hasegawa, Akira, Carsten O. Daub, Piero Carninci, Yoshihide Hayashizaki, & Timo Lassmann. (2014). MOIRAI: a compact workflow system for CAGE analysis. BMC Bioinformatics. 15(1). 144–144. 48 indexed citations

13.

Pardo, Luba M., Patrizia Rizzu, Margherita Francescatto, et al.. (2013). Regional differences in gene expression and promoter usage in aged human brains. Neurobiology of Aging. 34(7). 1825–1836. 25 indexed citations

14.

Tammimies, Kristiina, Morana Vitezic, Hans Matsson, et al.. (2012). Molecular Networks of DYX1C1 Gene Show Connection to Neuronal Migration Genes and Cytoskeletal Proteins. Biological Psychiatry. 73(6). 583–590. 31 indexed citations

15.

Plessy, Charles, Giovanni Pascarella, Nicolas Bertin, et al.. (2011). Promoter architecture of mouse olfactory receptor genes. Genome Research. 22(3). 486–497. 48 indexed citations

16.

Kimura, Yasumasa, Michiel de Hoon, Yuri Ishizu, et al.. (2011). Optimization of turn-back primers in isothermal amplification. Nucleic Acids Research. 39(9). e59–e59. 70 indexed citations

17.

Kanamori-Katayama, Mutsumi, Masayoshi Itoh, Hideya Kawaji, et al.. (2011). Unamplified cap analysis of gene expression on a single-molecule sequencer. Genome Research. 21(7). 1150–1159. 127 indexed citations

18.

Balwierz, Piotr J., Piero Carninci, Carsten O. Daub, et al.. (2009). Methods for analyzing deep sequencing expression data: constructing the human and mouse promoterome with deepCAGE data. Genome biology. 10(7). 109 indexed citations

19.

Akalin, Altuna, David Fredman, Erik Arner, et al.. (2009). Transcriptional features of genomic regulatory blocks. Genome biology. 10(4). R38–R38. 75 indexed citations

20.

Kawaji, Hideya, Yoshihide Hayashizaki, & Carsten O. Daub. (2009). SDRF2GRAPH – a visualization tool of a spreadsheet-based description of experimental processes. BMC Bioinformatics. 10(1). 133–133. 2 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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