Sune Danø

1.1k total citations
11 papers, 833 citations indexed

About

Sune Danø is a scholar working on Molecular Biology, Computer Networks and Communications and Physiology. According to data from OpenAlex, Sune Danø has authored 11 papers receiving a total of 833 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Computer Networks and Communications and 2 papers in Physiology. Recurrent topics in Sune Danø's work include Gene Regulatory Network Analysis (7 papers), Nonlinear Dynamics and Pattern Formation (6 papers) and Photosynthetic Processes and Mechanisms (4 papers). Sune Danø is often cited by papers focused on Gene Regulatory Network Analysis (7 papers), Nonlinear Dynamics and Pattern Formation (6 papers) and Photosynthetic Processes and Mechanisms (4 papers). Sune Danø collaborates with scholars based in Denmark, Sweden and Germany. Sune Danø's co-authors include Preben Graae Sørensen, F. Hynne, P. G. Sørensen, Silvia De Monte, Francesco d’Ovidio, Mads Madsen, Gunnar Cedersund, Henning Schmidt, Hans V. Westerhoff and Bjørn Quistorff and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Bioinformatics.

In The Last Decade

Sune Danø

11 papers receiving 817 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sune Danø Denmark	8	564	348	151	98	74	11	833
Preben Graae Sørensen Denmark	14	427 0.8×	462 1.3×	146 1.0×	155 1.6×	86 1.2×	22	823
David G. Míguez Spain	17	379 0.7×	310 0.9×	114 0.8×	105 1.1×	88 1.2×	41	775
Philip Bittihn Germany	15	497 0.9×	204 0.6×	150 1.0×	131 1.3×	195 2.6×	29	1.1k
Dorjsuren Battogtokh United States	14	364 0.6×	412 1.2×	102 0.7×	261 2.7×	12 0.2×	27	869
Marcin Leda United Kingdom	18	500 0.9×	172 0.5×	136 0.9×	51 0.5×	144 1.9×	35	976
E.E. Sel'kov Russia	9	458 0.8×	337 1.0×	41 0.3×	150 1.5×	76 1.0×	15	836
Theo Plesser Germany	13	154 0.3×	453 1.3×	167 1.1×	174 1.8×	56 0.8×	22	596
Evgeni V. Nikolaev United States	13	587 1.0×	157 0.5×	173 1.1×	130 1.3×	27 0.4×	28	902
Ronny Straube Germany	14	515 0.9×	69 0.2×	39 0.3×	145 1.5×	38 0.5×	31	664
Edward H. Hellen United States	11	209 0.4×	59 0.2×	144 1.0×	80 0.8×	48 0.6×	25	480

Countries citing papers authored by Sune Danø

Since Specialization

Citations

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

Fields of papers citing papers by Sune Danø

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sune Danø

This figure shows the co-authorship network connecting the top 25 collaborators of Sune Danø. A scholar is included among the top collaborators of Sune Danø 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 Sune Danø. Sune Danø 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

Madsen, Mads, Sune Danø, & Bjørn Quistorff. (2012). A Strategy for Development of Realistic Mathematical Models of Whole-Body Metabolism. Open Journal of Applied Sciences. 2(1). 11–27. 3 indexed citations

Hald, Bjørn Olav, Mads Madsen, Sune Danø, Bjørn Quistorff, & Preben Graae Sørensen. (2009). Quantitative evaluation of respiration induced metabolic oscillations in erythrocytes. Biophysical Chemistry. 141(1). 41–48. 7 indexed citations

Schmidt, Henning, Mads Madsen, Sune Danø, & Gunnar Cedersund. (2008). Complexity reduction of biochemical rate expressions. Bioinformatics. 24(6). 848–854. 33 indexed citations

Danø, Sune, et al.. (2007). Quantitative characterization of cell synchronization in yeast. Proceedings of the National Academy of Sciences. 104(31). 12732–12736. 41 indexed citations

Monte, Silvia De, Francesco d’Ovidio, Sune Danø, & Preben Graae Sørensen. (2007). Dynamical quorum sensing: Population density encoded in cellular dynamics. Proceedings of the National Academy of Sciences. 104(47). 18377–18381. 173 indexed citations

Danø, Sune, Mads Madsen, Henning Schmidt, & Gunnar Cedersund. (2006). Reduction of a biochemical model with preservation of its basic dynamic properties. FEBS Journal. 273(21). 4862–4877. 61 indexed citations

Madsen, Mads, Sune Danø, & Preben Graae Sørensen. (2005). On the mechanisms of glycolytic oscillations in yeast. FEBS Journal. 272(11). 2648–2660. 63 indexed citations

Danø, Sune, Mads Madsen, & Preben Graae Sørensen. (2005). Chemical interpretation of oscillatory modes at a Hopf point. Physical Chemistry Chemical Physics. 7(8). 1674–1679. 7 indexed citations

Hynne, F., Sune Danø, & P. G. Sørensen. (2001). Full-scale model of glycolysis in Saccharomyces cerevisiae. Biophysical Chemistry. 94(1-2). 121–163. 211 indexed citations

10.

Danø, Sune, F. Hynne, Silvia De Monte, et al.. (2001). Synchronization of glycolytic oscillations in a yeast cell population. Faraday Discussions. 120(120). 261–275. 46 indexed citations

11.

Danø, Sune, Preben Graae Sørensen, & F. Hynne. (1999). Sustained oscillations in living cells. Nature. 402(6759). 320–322. 188 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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