Michael Hörnquist

1.1k total citations
24 papers, 452 citations indexed

About

Michael Hörnquist is a scholar working on Molecular Biology, Statistical and Nonlinear Physics and Materials Chemistry. According to data from OpenAlex, Michael Hörnquist has authored 24 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Statistical and Nonlinear Physics and 5 papers in Materials Chemistry. Recurrent topics in Michael Hörnquist's work include Gene Regulatory Network Analysis (10 papers), Bioinformatics and Genomic Networks (9 papers) and Gene expression and cancer classification (6 papers). Michael Hörnquist is often cited by papers focused on Gene Regulatory Network Analysis (10 papers), Bioinformatics and Genomic Networks (9 papers) and Gene expression and cancer classification (6 papers). Michael Hörnquist collaborates with scholars based in Sweden, Denmark and South Africa. Michael Hörnquist's co-authors include Anna Maria Lombardi, Mika Gustafsson, R. Riklund, Magnus Johansson, John Hertz, Mattias Wahde, Kasper Astrup Eriksen, Johan Björkegren, Jesper Tegnér and Jesper Lundström and has published in prestigious journals such as Physical review. B, Condensed matter, PLoS ONE and Annals of the New York Academy of Sciences.

In The Last Decade

Michael Hörnquist

24 papers receiving 427 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Hörnquist Sweden 12 243 173 90 62 30 24 452
Ruoshi Yuan China 14 229 0.9× 143 0.8× 25 0.3× 38 0.6× 31 1.0× 31 414
Bastien Fernandez France 11 93 0.4× 237 1.4× 205 2.3× 25 0.4× 29 1.0× 41 416
M. P. Joy India 8 388 1.6× 248 1.4× 202 2.2× 14 0.2× 27 0.9× 17 784
Michael Field United States 15 89 0.4× 226 1.3× 200 2.2× 11 0.2× 14 0.5× 34 530
Da-Quan Jiang China 11 144 0.6× 311 1.8× 22 0.2× 56 0.9× 34 1.1× 30 440
Vivek Kohar United States 14 200 0.8× 381 2.2× 222 2.5× 21 0.3× 16 0.5× 29 585
Bianka Kovács Hungary 5 349 1.4× 151 0.9× 35 0.4× 6 0.1× 41 1.4× 5 530
Steve Guillouzic Canada 6 85 0.3× 340 2.0× 195 2.2× 26 0.4× 22 0.7× 6 501
Jianguo Tan China 12 62 0.3× 188 1.1× 89 1.0× 15 0.2× 13 0.4× 37 396
Delphine Salort France 11 59 0.2× 212 1.2× 99 1.1× 23 0.4× 11 0.4× 34 361

Countries citing papers authored by Michael Hörnquist

Since Specialization
Citations

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

Fields of papers citing papers by Michael Hörnquist

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Hörnquist

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Hörnquist. A scholar is included among the top collaborators of Michael Hörnquist 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 Michael Hörnquist. Michael Hörnquist 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.
Bout, Iman van den, Charlotte Örndal, Janusz Marcickiewicz, et al.. (2016). Lowered Expression of Tumor Suppressor Candidate MYO1C Stimulates Cell Proliferation, Suppresses Cell Adhesion and Activates AKT. PLoS ONE. 11(10). e0164063–e0164063. 15 indexed citations
2.
Gustafsson, Mika & Michael Hörnquist. (2010). Gene Expression Prediction by Soft Integration and the Elastic Net—Best Performance of the DREAM3 Gene Expression Challenge. PLoS ONE. 5(2). e9134–e9134. 24 indexed citations
3.
Gustafsson, Mika, Michael Hörnquist, Jesper Lundström, Johan Björkegren, & Jesper Tegnér. (2009). Reverse Engineering of Gene Networks with LASSO and Nonlinear Basis Functions. Annals of the New York Academy of Sciences. 1158(1). 265–275. 21 indexed citations
4.
Gustafsson, Mika, Michael Hörnquist, Johan Björkegren, & Jesper Tegnér. (2008). Soft Integration of Data for Reverse Engineering. 127–127. 4 indexed citations
5.
Gustafsson, Mika & Michael Hörnquist. (2008). Gene expression prediction by the elastic net. 48–48. 1 indexed citations
6.
Lombardi, Anna Maria & Michael Hörnquist. (2007). Controllability analysis of networks. Physical Review E. 75(5). 56110–56110. 96 indexed citations
7.
Hörnquist, Michael, et al.. (2007). Order or chaos in Boolean gene networks depends on the mean fraction of canalizing functions. Physica A Statistical Mechanics and its Applications. 384(2). 747–757. 25 indexed citations
8.
Gustafsson, Mika, Michael Hörnquist, & Anna Maria Lombardi. (2006). Comparison and validation of community structures in complex networks. Physica A Statistical Mechanics and its Applications. 367. 559–576. 40 indexed citations
9.
Gustafsson, Mika, Michael Hörnquist, & Anna Maria Lombardi. (2005). Constructing and Analyzing a Large-Scale Gene-to-Gene Regulatory Network-Lasso-Constrained Inference and Biological Validation. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2(3). 254–261. 66 indexed citations
10.
Thórsson, Vésteinn, Michael Hörnquist, Andrew F. Siegel, & Leroy Hood. (2005). Reverse Engineering Galactose Regulation in Yeast through Model Selection. Statistical Applications in Genetics and Molecular Biology. 4(1). Article28–Article28. 9 indexed citations
11.
Hörnquist, Michael, et al.. (2003). Revisiting Salerno’s sine-Gordon model of DNA: active regions and robustness. Physica D Nonlinear Phenomena. 177(1-4). 233–241. 24 indexed citations
12.
Hörnquist, Michael, John Hertz, & Mattias Wahde. (2003). Effective dimensionality for principal component analysis of time series expression data. Biosystems. 71(3). 311–317. 11 indexed citations
13.
Hörnquist, Michael, John Hertz, & Mattias Wahde. (2002). Effective dimensionality of large-scale expression data using principal component analysis. Biosystems. 65(2-3). 147–156. 13 indexed citations
14.
Eriksen, Kasper Astrup & Michael Hörnquist. (2001). Scale-free growing networks imply linear preferential attachment. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 65(1). 17102–17102. 14 indexed citations
15.
Hörnquist, Michael. (2001). Scale-free networks are not robust under neutral evolution. Europhysics Letters (EPL). 56(3). 461–467. 2 indexed citations
16.
Hörnquist, Michael, et al.. (1998). Quantum dots in aperiodic order. Physica E Low-dimensional Systems and Nanostructures. 3(4). 213–223. 3 indexed citations
17.
Hörnquist, Michael & R. Riklund. (1997). Stationary anharmonic gap modes in diatomic aperiodic lattices. Physical review. B, Condensed matter. 55(2). 875–881. 5 indexed citations
18.
Hörnquist, Michael & R. Riklund. (1996). Solitary Wave Propagation in Periodic and Aperiodic Diatomic Toda Lattices. Journal of the Physical Society of Japan. 65(9). 2872–2879. 11 indexed citations
19.
Hörnquist, Michael & Magnus Johansson. (1995). . Journal of Physics A Mathematical and General. 28(2). 479–495. 5 indexed citations
20.
Johansson, Magnus, Michael Hörnquist, & R. Riklund. (1995). Effects of nonlinearity on the time evolution of single-site localized states in periodic and aperiodic discrete systems. Physical review. B, Condensed matter. 52(1). 231–240. 46 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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