Markus Kirkilionis

927 citations
23 papers · 634 · h-index 11

Impact in

Papers in

Markus Kirkilionis

23 papers receiving 614 citations

Peers

Markus Kirkilionis
Comparison fields: 5 of 110
  • Modeling and Simulation 106
  • Public Health, Environmental and Occupational Health 213
  • Applied Mathematics 69
  • Mathematical Physics 55
  • Genetics 159
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Countries citing papers authored by Markus Kirkilionis

Since Specialization
Citations

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

Fields of papers citing papers by Markus Kirkilionis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Markus Kirkilionis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Markus Kirkilionis Line = papers co-authored together Markus Kirkilionis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001159
2 2003147
3 201360
4 200847
5 200037
6 200835
7 200133
8 200423
9 200921
10 200915
11 200814
12 20098
13 20107
14 20086
15 20004
16 20094
17 20103
18 20063
19 20112
20
Proceedings of the European Conference on Complex Systems 2012: Springer Proceedings in Complexity
20132

About Markus Kirkilionis

Markus Kirkilionis is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Genetics, Modeling and Simulation and Computer Networks and Communications, having authored 23 papers that have together received 634 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (8 papers), Mathematical and Theoretical Epidemiology and Ecology Models (6 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Evolution and Genetic Dynamics (4 papers), Mathematical Biology Tumor Growth (4 papers), Photosynthetic Processes and Mechanisms (3 papers), Bioinformatics and Genomic Networks (3 papers) and Nonlinear Dynamics and Pattern Formation (2 papers). The work is most often cited by research in Modeling and Simulation (106 citations), Public Health, Environmental and Occupational Health (213 citations), Applied Mathematics (69 citations), Mathematical Physics (55 citations) and Genetics (159 citations). Markus Kirkilionis has collaborated with scholars based in United Kingdom, Germany and Netherlands. Frequent co-authors include Friedrich Tomi, Odo Diekmann, Rolf Rannacher, J.A.J. Metz, Horst R. Thieme, Mats Gyllenberg, Huaxiong Huang, Mirela Domijan, Thomas W. Gilbert and G. Nìcolis. Their work appears in journals such as Theory in Biosciences, Journal of Mathematical Biology, Mathematical Models and Methods in Applied Sciences, Molecular Microbiology and Environmental Modeling & Assessment.

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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