Ivan Topolsky

966 total citations
8 papers, 88 citations indexed

About

Ivan Topolsky is a scholar working on Infectious Diseases, Molecular Biology and Ecology. According to data from OpenAlex, Ivan Topolsky has authored 8 papers receiving a total of 88 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 3 papers in Molecular Biology and 3 papers in Ecology. Recurrent topics in Ivan Topolsky's work include SARS-CoV-2 and COVID-19 Research (3 papers), Bacteriophages and microbial interactions (3 papers) and SARS-CoV-2 detection and testing (3 papers). Ivan Topolsky is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (3 papers), Bacteriophages and microbial interactions (3 papers) and SARS-CoV-2 detection and testing (3 papers). Ivan Topolsky collaborates with scholars based in Switzerland, United Kingdom and France. Ivan Topolsky's co-authors include Niko Beerenwinkel, Karin J. Metzner, Kim Philipp Jablonski, David Seifert, Susana Posada-Céspedes, Tanja Stadler, David Dreifuss, Regina Hofmann‐Lehmann, Marina L. Meli and Claudia Bagutti and has published in prestigious journals such as Bioinformatics, Water Research and Viruses.

In The Last Decade

Ivan Topolsky

7 papers receiving 86 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ivan Topolsky Switzerland	4	44	37	22	16	11	8	88
Elisa Matarazzo Italy	3	67 1.5×	15 0.4×	6 0.3×	11 0.7×	14 1.3×	5	90
Maria Antonello Italy	2	66 1.5×	14 0.4×	6 0.3×	11 0.7×	13 1.2×	4	85
Stephen Tahan United States	6	57 1.3×	33 0.9×	5 0.2×	11 0.7×	12 1.1×	6	120
Marc R. Isabel Canada	4	121 2.8×	35 0.9×	12 0.5×	6 0.4×	16 1.5×	5	139
Grégory Quéromès France	5	73 1.7×	42 1.1×	14 0.6×	4 0.3×	14 1.3×	6	110
Susana Posada-Céspedes Switzerland	4	47 1.1×	62 1.7×	39 1.8×	8 0.5×	20 1.8×	4	128
Jennifer K. DeMarco United States	4	29 0.7×	38 1.0×	12 0.5×	3 0.2×	5 0.5×	5	91
Lauren E. Malsick United States	3	52 1.2×	95 2.6×	17 0.8×	16 1.0×	5 0.5×	4	136
Avery J. C. Noonan Canada	5	39 0.9×	20 0.5×	11 0.5×	5 0.3×	15 1.4×	9	79
Kwee Chin Liew Australia	5	39 0.9×	54 1.5×	7 0.3×	4 0.3×	53 4.8×	8	124

Countries citing papers authored by Ivan Topolsky

Since Specialization

Citations

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

Fields of papers citing papers by Ivan Topolsky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Topolsky

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

All Works

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8 of 8 papers shown

Kang, Seju, Lara Fuhrmann, Ivan Topolsky, et al.. (2025). Characterizing influenza A virus lineages and clinically relevant mutations through high-coverage wastewater sequencing. Water Research. 287(Pt B). 124453–124453.

Dreifuss, David, Anna Bratus-Neuenschwander, Ivan Topolsky, et al.. (2024). Assessing different next-generation sequencing technologies for wastewater-based epidemiology. Water Research. 267. 122465–122465. 3 indexed citations

Fuhrmann, Lara, Kim Philipp Jablonski, Ivan Topolsky, et al.. (2024). V-pipe 3.0: a sustainable pipeline for within-sample viral genetic diversity estimation. GigaScience. 13. 7 indexed citations

Fuhrmann, Lara, et al.. (2024). VILOCA: sequencing quality-aware viral haplotype reconstruction and mutation calling for short-read and long-read data. NAR Genomics and Bioinformatics. 6(4). lqae152–lqae152. 1 indexed citations

Willi, Barbara, Aline Wolfensberger, Christian Beisel, et al.. (2023). Detection and Molecular Characterization of the SARS-CoV-2 Delta Variant and the Specific Immune Response in Companion Animals in Switzerland. Viruses. 15(1). 245–245. 10 indexed citations

Chen, Chaoran, Sarah Nadeau, Ivan Topolsky, Niko Beerenwinkel, & Tanja Stadler. (2022). Advancing genomic epidemiology by addressing the bioinformatics bottleneck: Challenges, design principles, and a Swiss example. Epidemics. 39. 100576–100576. 3 indexed citations

Bagutti, Claudia, Philipp Hübner, Tanja Stadler, et al.. (2022). Wastewater monitoring of SARS-CoV-2 shows high correlation with COVID-19 case numbers and allowed early detection of the first confirmed B.1.1.529 infection in Switzerland: results of an observational surveillance study. Swiss Medical Weekly. 152(2526). w30202–w30202. 18 indexed citations

Posada-Céspedes, Susana, David Seifert, Ivan Topolsky, et al.. (2021). V-pipe: a computational pipeline for assessing viral genetic diversity from high-throughput data. Bioinformatics. 37(12). 1673–1680. 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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