Daniel Horbelt

759 total citations
10 papers, 593 citations indexed

About

Daniel Horbelt is a scholar working on Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Daniel Horbelt has authored 10 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Daniel Horbelt's work include TGF-β signaling in diseases (5 papers), Muscle Physiology and Disorders (2 papers) and Connective tissue disorders research (2 papers). Daniel Horbelt is often cited by papers focused on TGF-β signaling in diseases (5 papers), Muscle Physiology and Disorders (2 papers) and Connective tissue disorders research (2 papers). Daniel Horbelt collaborates with scholars based in Germany, United Kingdom and Israel. Daniel Horbelt's co-authors include Petra Knaus, Peter N. Robinson, Gao Guo, Yoav I. Henis, Marcelo Ehrlich, Jessica Kopf, Christian Hiepen, Klaus Kallenbach, Johannes Grünhagen and Marten Jäger and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.

In The Last Decade

Daniel Horbelt

10 papers receiving 586 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Horbelt Germany	9	342	102	94	76	64	10	593
Aaron Proweller United States	13	702 2.1×	69 0.7×	129 1.4×	108 1.4×	59 0.9×	18	906
Alexander Y. L. Cheah Canada	7	268 0.8×	54 0.5×	73 0.8×	82 1.1×	51 0.8×	7	546
Jennifer Heinke Germany	12	494 1.4×	69 0.7×	188 2.0×	76 1.0×	50 0.8×	12	673
Siddharth R. Vora United States	11	340 1.0×	107 1.0×	77 0.8×	45 0.6×	43 0.7×	21	527
Catherine Sweeney Ireland	11	493 1.4×	80 0.8×	114 1.2×	113 1.5×	63 1.0×	11	819
Sandrine Levet France	8	362 1.1×	86 0.8×	44 0.5×	120 1.6×	91 1.4×	10	656
Chiaki Hidai Japan	12	436 1.3×	101 1.0×	90 1.0×	46 0.6×	79 1.2×	33	759
Koji Takeda Japan	13	189 0.6×	70 0.7×	141 1.5×	98 1.3×	117 1.8×	31	609
Justin Allen United States	12	206 0.6×	60 0.6×	79 0.8×	132 1.7×	55 0.9×	20	578
Jacqueline D. Peacock United States	12	299 0.9×	102 1.0×	79 0.8×	122 1.6×	65 1.0×	16	628

Countries citing papers authored by Daniel Horbelt

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Horbelt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Horbelt

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

All Works

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10 of 10 papers shown

Sarma, Uddipan, Stefan Bohn, Caibin Sheng, et al.. (2018). Cell‐specific responses to the cytokine TGF β are determined by variability in protein levels. Molecular Systems Biology. 14(1). e7733–e7733. 43 indexed citations

Jatzlau, Jerome, Daniel Horbelt, Christina Heroven, et al.. (2017). IRS4, a novel modulator of BMP/Smad and Akt signalling during early muscle differentiation. Scientific Reports. 7(1). 8778–8778. 17 indexed citations

Lorenz, Mario, Michael Mertens, Wolfgang M. Kuebler, et al.. (2015). Does cellular sex matter? Dimorphic transcriptional differences between female and male endothelial cells. Atherosclerosis. 240(1). 61–72. 53 indexed citations

Horbelt, Daniel, Jan H. Boergermann, A. Chaikuad, et al.. (2014). Small Molecules Dorsomorphin and LDN-193189 Inhibit Myostatin/GDF8 Signaling and Promote Functional Myoblast Differentiation. Journal of Biological Chemistry. 290(6). 3390–3404. 46 indexed citations

Kopf, Jessica, et al.. (2013). BMP growth factor signaling in a biomechanical context. BioFactors. 40(2). 171–187. 49 indexed citations

Ott, Claus‐Eric, Johannes Grünhagen, Marten Jäger, et al.. (2011). MicroRNAs Differentially Expressed in Postnatal Aortic Development Downregulate Elastin via 3′ UTR and Coding-Sequence Binding Sites. PLoS ONE. 6(1). e16250–e16250. 87 indexed citations

Horbelt, Daniel, et al.. (2011). A portrait of Transforming Growth Factor β superfamily signalling: Background matters. The International Journal of Biochemistry & Cell Biology. 44(3). 469–474. 172 indexed citations

Ehrlich, Marcelo, et al.. (2011). Homomeric and heteromeric complexes among TGF-β and BMP receptors and their roles in signaling. Cellular Signalling. 23(9). 1424–1432. 66 indexed citations

Horbelt, Daniel, Gao Guo, Peter N. Robinson, & Petra Knaus. (2010). Quantitative analysis of TGFBR2 mutations in Marfan-syndrome-related disorders suggests a correlation between phenotypic severity and Smad signaling activity. Journal of Cell Science. 123(24). 4340–4350. 53 indexed citations

10.

Horbelt, Daniel, et al.. (2009). Antiviral activity of highly potent siRNAs against echovirus 30 and its receptor. Journal of Virological Methods. 157(2). 211–218. 7 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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