Marko Marhl

4.2k total citations
104 papers, 3.3k citations indexed

About

Marko Marhl is a scholar working on Molecular Biology, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Marko Marhl has authored 104 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 37 papers in Statistical and Nonlinear Physics and 29 papers in Computer Networks and Communications. Recurrent topics in Marko Marhl's work include Nonlinear Dynamics and Pattern Formation (29 papers), stochastic dynamics and bifurcation (27 papers) and Gene Regulatory Network Analysis (21 papers). Marko Marhl is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (29 papers), stochastic dynamics and bifurcation (27 papers) and Gene Regulatory Network Analysis (21 papers). Marko Marhl collaborates with scholars based in Slovenia, Germany and Austria. Marko Marhl's co-authors include Matjaž Perc, Marko Gosak, Stefan Schuster, Rene Markovič, Marjan Slak Rupnik, Andraž Stožer, Thomas Höfer, Jurij Dolenšek, Milan Brumen and Reinhart Heinrich and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Marko Marhl

102 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marko Marhl Slovenia 31 1.3k 1.3k 791 616 375 104 3.3k
Marko Gosak Slovenia 25 628 0.5× 806 0.6× 414 0.5× 492 0.8× 200 0.5× 80 2.0k
Erik Mosekilde Denmark 40 629 0.5× 2.9k 2.3× 2.8k 3.5× 646 1.0× 195 0.5× 251 5.8k
James Sneyd New Zealand 43 3.2k 2.5× 1.2k 0.9× 1.1k 1.4× 592 1.0× 1.4k 3.7× 162 7.6k
Naoki Masuda Japan 44 925 0.7× 2.1k 1.6× 443 0.6× 1.1k 1.8× 903 2.4× 281 6.5k
Jianwei Shuai China 36 2.3k 1.8× 754 0.6× 367 0.5× 523 0.8× 558 1.5× 196 4.3k
Wei Lin China 35 1.0k 0.8× 1.1k 0.8× 902 1.1× 355 0.6× 117 0.3× 218 4.5k
Alexey Zaikin United Kingdom 31 964 0.7× 1.5k 1.2× 1.2k 1.5× 614 1.0× 194 0.5× 146 3.2k
Alvin Shrier Canada 40 2.4k 1.9× 1.2k 0.9× 1.0k 1.3× 686 1.1× 1.2k 3.1× 135 5.1k
Wentian Li United States 41 2.8k 2.2× 355 0.3× 118 0.1× 194 0.3× 173 0.5× 212 7.0k
Seunghwan Kim South Korea 40 557 0.4× 1.8k 1.4× 1.1k 1.5× 1.3k 2.1× 342 0.9× 238 5.0k

Countries citing papers authored by Marko Marhl

Since Specialization
Citations

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

Fields of papers citing papers by Marko Marhl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marko Marhl

This figure shows the co-authorship network connecting the top 25 collaborators of Marko Marhl. A scholar is included among the top collaborators of Marko Marhl 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 Marko Marhl. Marko Marhl 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.
Grubelnik, Vladimir, et al.. (2025). The Synergistic Impact of Glycolysis, Mitochondrial OxPhos, and PEP Cycling on ATP Production in Beta Cells. International Journal of Molecular Sciences. 26(4). 1454–1454. 2 indexed citations
2.
Marhl, Marko, Rene Markovič, Vladimir Grubelnik, & Matjaž Perc. (2024). The changing world dynamics of research performance. Scientometrics. 130(1). 469–488.
3.
Markovič, Rene, et al.. (2024). Cardiovascular Comorbidities in COVID-19: Comprehensive Analysis of Key Topics. SHILAP Revista de lepidopterología. 13. e55699–e55699. 1 indexed citations
4.
Bombek, Lidija Križančić, Maša Skelin Klemen, Marjan Slak Rupnik, et al.. (2021). NMDA receptor inhibition increases, synchronizes, and stabilizes the collective pancreatic beta cell activity: Insights through multilayer network analysis. PLoS Computational Biology. 17(5). e1009002–e1009002. 24 indexed citations
5.
Markovič, Rene, Marko Marhl, & Marko Gosak. (2020). Mechanical Cell-to-Cell Interactions as a Regulator of Topological Defects in Planar Cell Polarity Patterns in Epithelial Tissues. Frontiers in Materials. 7. 3 indexed citations
6.
Marhl, Marko, et al.. (2020). Diabetes and metabolic syndrome as risk factors for COVID-19. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 14(4). 671–677. 74 indexed citations
7.
Gosak, Marko, Rene Markovič, Jurij Dolenšek, et al.. (2018). Loosening the shackles of scientific disciplines with network science. Physics of Life Reviews. 24. 162–167. 6 indexed citations
8.
Gosak, Marko, Rene Markovič, Jurij Dolenšek, et al.. (2017). Network science of biological systems at different scales: A review. Physics of Life Reviews. 24. 118–135. 317 indexed citations
9.
Roux, Étienne & Marko Marhl. (2017). Theoretical Analysis of the Vascular System and its Relation to Adrian Bejan's constructal Theory. 2(1). 15–20. 3 indexed citations
10.
Gosak, Marko, Andraž Stožer, Rene Markovič, et al.. (2015). The relationship between node degree and dissipation rate in networks of diffusively coupled oscillators and its significance for pancreatic beta cells. Chaos An Interdisciplinary Journal of Nonlinear Science. 25(7). 73115–73115. 29 indexed citations
11.
Markovič, Rene, Andraž Stožer, Marko Gosak, et al.. (2015). Progressive glucose stimulation of islet beta cells reveals a transition from segregated to integrated modular functional connectivity patterns. Scientific Reports. 5(1). 7845–7845. 50 indexed citations
12.
Gosak, Marko, et al.. (2012). Modeling the Seasonal Adaptation of Circadian Clocks by Changes in the Network Structure of the Suprachiasmatic Nucleus. PLoS Computational Biology. 8(9). e1002697–e1002697. 51 indexed citations
13.
Gosak, Marko, Dean Korošak, & Marko Marhl. (2010). Optimal network configuration for maximal coherence resonance in excitable systems. Physical Review E. 81(5). 56104–56104. 23 indexed citations
14.
Grubelnik, Vladimir, et al.. (2009). Signal amplification in biological and electrical engineering systems. Biophysical Chemistry. 143(3). 132–138. 17 indexed citations
15.
Perc, Matjaž, Anne K. Green, C. Jane Dixon, & Marko Marhl. (2007). Establishing the stochastic nature of intracellular calcium oscillations from experimental data. Biophysical Chemistry. 132(1). 33–38. 79 indexed citations
16.
Marhl, Marko, Denis Noble, & Étienne Roux. (2006). Modeling of Molecular and Cellular Mechanisms Involved in Ca<sup>2+</sup> Signal Encoding in Airway Myocytes. Cell Biochemistry and Biophysics. 46(3). 285–302. 8 indexed citations
17.
Kummer, Ursula, et al.. (2005). Transition from Stochastic to Deterministic Behavior in Calcium Oscillations. Biophysical Journal. 89(3). 1603–1611. 71 indexed citations
18.
Roux, Étienne & Marko Marhl. (2004). Role of Sarcoplasmic Reticulum and Mitochondria in Ca2+ Removal in Airway Myocytes. Biophysical Journal. 86(4). 2583–2595. 25 indexed citations
19.
Perc, Matjaž & Marko Marhl. (2003). Sensitivity and flexibility of regular and chaotic calcium oscillations. Biophysical Chemistry. 104(2). 509–522. 41 indexed citations
20.
Marhl, Marko, et al.. (2001). Birhythmicity, trirhythmicity and chaos in bursting calcium oscillations. Biophysical Chemistry. 90(1). 17–30. 55 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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