Jovan Tanevski

3.1k total citations
19 papers, 456 citations indexed

About

Jovan Tanevski is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Physiology. According to data from OpenAlex, Jovan Tanevski has authored 19 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 3 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Physiology. Recurrent topics in Jovan Tanevski's work include Single-cell and spatial transcriptomics (8 papers), Gene Regulatory Network Analysis (8 papers) and Thermoregulation and physiological responses (3 papers). Jovan Tanevski is often cited by papers focused on Single-cell and spatial transcriptomics (8 papers), Gene Regulatory Network Analysis (8 papers) and Thermoregulation and physiological responses (3 papers). Jovan Tanevski collaborates with scholars based in Slovenia, Germany and United Kingdom. Jovan Tanevski's co-authors include Julio Sáez-Rodríguez, Ricardo O. Ramirez Flores, Denis Schapiro, Attila Gábor, Sašo Džeroski, Jan Gleixner, Manu P. Kumar, Holger Heyn, Javier Perales-Patón and Oliver Stegle and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Cell Biology.

In The Last Decade

Jovan Tanevski

18 papers receiving 448 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jovan Tanevski Slovenia 7 297 88 67 52 51 19 456
Mika Sarkin Jain United States 6 486 1.6× 169 1.9× 120 1.8× 20 0.4× 68 1.3× 12 646
Jiaqiang Zhu China 9 612 2.1× 101 1.1× 101 1.5× 21 0.4× 35 0.7× 16 729
Aline Roch Switzerland 11 233 0.8× 104 1.2× 51 0.8× 99 1.9× 44 0.9× 14 557
Olle Holmberg Germany 5 374 1.3× 109 1.2× 50 0.7× 16 0.3× 41 0.8× 6 501
Jordi Martorell‐Marugán Spain 16 469 1.6× 176 2.0× 234 3.5× 30 0.6× 91 1.8× 31 845
Rachel A. Rigg United States 15 114 0.4× 72 0.8× 48 0.7× 74 1.4× 132 2.6× 20 616
Lantian Wang China 9 327 1.1× 61 0.7× 245 3.7× 57 1.1× 95 1.9× 32 559
Lin Wan China 13 280 0.9× 129 1.5× 223 3.3× 20 0.4× 63 1.2× 31 618
Christina V. Theodoris United States 9 654 2.2× 39 0.4× 69 1.0× 51 1.0× 15 0.3× 14 912

Countries citing papers authored by Jovan Tanevski

Since Specialization
Citations

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

Fields of papers citing papers by Jovan Tanevski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jovan Tanevski

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

All Works

19 of 19 papers shown
1.
Wünnemann, Florian, Junedh Amrute, Jovan Tanevski, et al.. (2025). Spatial multiomics of acute myocardial infarction reveals immune cell infiltration through the endocardium. Nature Cardiovascular Research. 4(10). 1345–1362.
2.
Tanevski, Jovan, et al.. (2025). Learning tissue representation by identification of persistent local patterns in spatial omics data. Nature Communications. 16(1). 4071–4071. 3 indexed citations
3.
Flores, Ricardo O. Ramirez, Attila Gábor, Pau Badia-i-Mompel, et al.. (2024). Assessing the impact of transcriptomics data analysis pipelines on downstream functional enrichment results. Nucleic Acids Research. 52(14). 8100–8111. 2 indexed citations
4.
Dimitrov, Daniel, Philipp Schäfer, Pablo Rodríguez-Mier, et al.. (2024). LIANA+ provides an all-in-one framework for cell–cell communication inference. Nature Cell Biology. 26(9). 1613–1622. 48 indexed citations
5.
Vale-Silva, Luís A., et al.. (2024). DOT: a flexible multi-objective optimization framework for transferring features across single-cell and spatial omics. Nature Communications. 15(1). 4994–4994. 7 indexed citations
6.
Laury, Anna, Shuyu Zheng, Robin Fallegger, et al.. (2024). Opening the Black Box: Spatial Transcriptomics and the Relevance of Artificial Intelligence–Detected Prognostic Regions in High-Grade Serous Carcinoma. Modern Pathology. 37(7). 100508–100508. 4 indexed citations
7.
Tanevski, Jovan, et al.. (2022). Surrogate models of radiative transfer codes for atmospheric trace gas retrievals from satellite observations. Machine Learning. 112(4). 1337–1363. 1 indexed citations
8.
Tanevski, Jovan, Ricardo O. Ramirez Flores, Attila Gábor, Denis Schapiro, & Julio Sáez-Rodríguez. (2022). Explainable multiview framework for dissecting spatial relationships from highly multiplexed data. Genome biology. 23(1). 97–97. 115 indexed citations
9.
Tanevski, Jovan, et al.. (2020). Predictive model for the quantitative analysis of human skin using photothermal radiometry and diffuse reflectance spectroscopy. Biomedical Optics Express. 11(3). 1679–1679. 14 indexed citations
10.
Holland, Christian H., Jovan Tanevski, Javier Perales-Patón, et al.. (2020). Robustness and applicability of transcription factor and pathway analysis tools on single-cell RNA-seq data. Genome biology. 21(1). 36–36. 180 indexed citations
11.
Tanevski, Jovan, et al.. (2019). Meta-Model Framework for Surrogate-Based Parameter Estimation in Dynamical Systems. IEEE Access. 7. 181829–181841. 6 indexed citations
12.
Simjanoska, Monika, et al.. (2019). Multi-level information fusion for learning a blood pressure predictive model using sensor data. Information Fusion. 58. 24–39. 38 indexed citations
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15.
Tanevski, Jovan, Ljupčo Todorovski, & Sašo Džeroski. (2019). Combinatorial search for selecting the structure of models of dynamical systems with equation discovery. Engineering Applications of Artificial Intelligence. 89. 103423–103423. 6 indexed citations
16.
Tanevski, Jovan, Sašo Džeroski, & Ljupčo Kocarev. (2017). APPROXIMATE BAYESIAN PARAMETER INFERENCE FOR DYNAMICAL SYSTEMS IN SYSTEMS BIOLOGY. 31(1-2). 1 indexed citations
17.
Tanevski, Jovan, Ljupčo Todorovski, & Sašo Džeroski. (2016). Learning stochastic process-based models of dynamical systems from knowledge and data. BMC Systems Biology. 10(1). 30–30. 12 indexed citations
18.
Tanevski, Jovan, Ljupčo Todorovski, & Sašo Džeroski. (2016). Process-based design of dynamical biological systems. Scientific Reports. 6(1). 34107–34107. 5 indexed citations
19.
Tanevski, Jovan, Ljupčo Todorovski, Yannis Kalaidzidis, & Sašo Džeroski. (2015). Domain-specific model selection for structural identification of the Rab5-Rab7 dynamics in endocytosis. BMC Systems Biology. 9(1). 31–31. 6 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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