Matúš Medo

4.3k total citations · 3 hit papers
55 papers, 3.0k citations indexed

About

Matúš Medo is a scholar working on Statistical and Nonlinear Physics, Economics and Econometrics and Molecular Biology. According to data from OpenAlex, Matúš Medo has authored 55 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Statistical and Nonlinear Physics, 12 papers in Economics and Econometrics and 11 papers in Molecular Biology. Recurrent topics in Matúš Medo's work include Complex Network Analysis Techniques (28 papers), Opinion Dynamics and Social Influence (17 papers) and Recommender Systems and Techniques (6 papers). Matúš Medo is often cited by papers focused on Complex Network Analysis Techniques (28 papers), Opinion Dynamics and Social Influence (17 papers) and Recommender Systems and Techniques (6 papers). Matúš Medo collaborates with scholars based in Switzerland, China and Germany. Matúš Medo's co-authors include Tao Zhou, Yicheng Zhang, Yi‐Cheng Zhang, Jie Ren, Linyuan Lü, Zi‐Ke Zhang, Chi Ho Yeung, Jian-Guo Liu, Joseph Wakeling and Giulio Cimini and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.

In The Last Decade

Matúš Medo

55 papers receiving 2.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Bipartite network projection and personal recommendation

2007 758 citations Tao Zhou, Jie Ren et al. Physical Review E profile →
Recommender systems

2012 712 citations Linyuan Lü, Matúš Medo et al. profile →
Solving the apparent diversity-accuracy dilemma of recommender systems

2010 663 citations Tao Zhou, Matúš Medo et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matúš Medo Switzerland	16	1.4k	1.2k	860	440	380	55	3.0k
Huawei Shen China	31	960 0.7×	2.0k 1.6×	2.0k 2.4×	513 1.2×	276 0.7×	129	3.9k
Herbert Van de Sompel United States	27	1.9k 1.4×	551 0.5×	858 1.0×	519 1.2×	182 0.5×	118	3.7k
Panayiotis Tsaparas Greece	24	932 0.7×	696 0.6×	1.3k 1.6×	299 0.7×	178 0.5×	63	2.5k
Rajan M. Lukose United States	11	1.0k 0.7×	716 0.6×	716 0.8×	1.2k 2.7×	97 0.3×	15	3.0k
Stefano Leonardi Italy	26	720 0.5×	573 0.5×	759 0.9×	875 2.0×	90 0.2×	116	2.5k
Yuxiao Dong China	29	1.6k 1.1×	1.5k 1.2×	3.7k 4.4×	575 1.3×	677 1.8×	115	5.7k
Kuansan Wang United States	23	960 0.7×	479 0.4×	2.0k 2.3×	207 0.5×	276 0.7×	65	3.1k
Ming Zhang China	31	1.1k 0.8×	408 0.3×	1.7k 2.0×	188 0.4×	220 0.6×	126	3.2k
Tina Eliassi‐Rad United States	29	847 0.6×	1.9k 1.6×	3.0k 3.5×	709 1.6×	416 1.1×	106	4.6k
Sitaram Asur United States	15	426 0.3×	1.0k 0.8×	817 0.9×	209 0.5×	163 0.4×	23	2.4k

Countries citing papers authored by Matúš Medo

Since Specialization

Citations

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

Fields of papers citing papers by Matúš Medo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matúš Medo

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Medo, Matúš, et al.. (2025). Replicability of bulk RNA-Seq differential expression and enrichment analysis results for small cohort sizes. PLoS Computational Biology. 21(5). e1011630–e1011630. 3 indexed citations

Medo, Matúš, Charlotte K.Y. Ng, & Michaela Medová. (2024). A comprehensive comparison of tools for fitting mutational signatures. Nature Communications. 15(1). 9467–9467. 3 indexed citations

Medo, Matúš, Manja Friese‐Hamim, Si’Ana A. Coggins, et al.. (2024). E2F1-Associated Purine Synthesis Pathway Is a Major Component of the MET-DNA Damage Response Network. Cancer Research Communications. 4(7). 1863–1880. 1 indexed citations

Aebersold, Ruedi, Deborah Stroka, Daniel M. Aebersold, et al.. (2023). A DNA-PK phosphorylation site on MET regulates its signaling interface with the DNA damage response. Oncogene. 42(26). 2113–2125. 3 indexed citations

Medo, Matúš, Ariel Bensimon, Carsten Riether, et al.. (2022). An oncogene addiction phosphorylation signature and its derived scores inform tumor responsiveness to targeted therapies. Cellular and Molecular Life Sciences. 80(1). 6–6. 3 indexed citations

Mariani, Manuel Sebastian, et al.. (2020). Unbiased evaluation of ranking metrics reveals consistent performance in science and technology citation data. Zurich Open Repository and Archive (University of Zurich). 6 indexed citations

Medo, Matúš, et al.. (2020). Time-invariant degree growth in preferential attachment network models. Physical review. E. 101(2). 22309–22309. 8 indexed citations

Medo, Matúš. (2020). Contact network models matching the dynamics of the COVID-19 spreading. Journal of Physics A Mathematical and Theoretical. 54(3). 35601–35601. 10 indexed citations

Nisa, Lluís, Paola Francica, Roland Giger, et al.. (2019). Targeting the MET Receptor Tyrosine Kinase as a Strategy for Radiosensitization in Locoregionally Advanced Head and Neck Squamous Cell Carcinoma. Molecular Cancer Therapeutics. 19(2). 614–626. 11 indexed citations

10.

Nisa, Lluís, David Barras, Michaela Medová, et al.. (2018). Comprehensive Genomic Profiling of Patient-matched Head and Neck Cancer Cells: A Preclinical Pipeline for Metastatic and Recurrent Disease. Molecular Cancer Research. 16(12). 1912–1926. 23 indexed citations

11.

Mariani, Manuel Sebastian, Matúš Medo, & François Lafond. (2018). Early identification of important patents: Design and validation of citation network metrics. Technological Forecasting and Social Change. 146. 644–654. 47 indexed citations

12.

Ren, Zhuo-Ming, Manuel Sebastian Mariani, Yi‐Cheng Zhang, & Matúš Medo. (2018). Randomizing growing networks with a time-respecting null model. Physical review. E. 97(5). 52311–52311. 13 indexed citations

13.

Ren, Zhuo-Ming, Manuel Sebastian Mariani, Yi‐Cheng Zhang, & Matúš Medo. (2017). A time-respecting null model to explore the structure of growing networks.. arXiv (Cornell University). 1 indexed citations

14.

Ren, Zhuo-Ming, Manuel Sebastian Mariani, Yicheng Zhang, & Matúš Medo. (2017). A time-respecting null model for growing networks. arXiv (Cornell University). 1 indexed citations

15.

Zhu, Xuzhen, Yujie Yang, Guilin Chen, et al.. (2017). Information filtering based on corrected redundancy-eliminating mass diffusion. PLoS ONE. 12(7). e0181402–e0181402. 7 indexed citations

16.

Medo, Matúš. (2014). Statistical validation of high-dimensional models of growing networks. Physical Review E. 89(3). 32801–32801. 15 indexed citations

17.

Medová, Michaela, Daniel M. Aebersold, Bruno Streit, et al.. (2010). MET Inhibition Results in DNA Breaks and Synergistically Sensitizes Tumor Cells to DNA-Damaging Agents Potentially by Breaching a Damage-Induced Checkpoint Arrest. Genes & Cancer. 1(10). 1053–1062. 39 indexed citations

18.

Lü, Linyuan, Matúš Medo, Yi‐Cheng Zhang, & Damien Challet. (2009). Emergence of product differentiation from consumer heterogeneity and asymmetric information. reroDoc Digital Library. 9 indexed citations

19.

Medo, Matúš & Yicheng Zhang. (2008). Market model with heterogeneous buyers. Physica A Statistical Mechanics and its Applications. 387(12). 2889–2908. 9 indexed citations

20.

Zhou, Tao, Jie Ren, Matúš Medo, & Yi‐Cheng Zhang. (2007). Bipartite network projection and personal recommendation. Physical Review E. 76(4). 46115–46115. 758 indexed citations breakdown →

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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