Petr Tauš

1.0k total citations · 1 hit paper
5 papers, 336 citations indexed

About

Petr Tauš is a scholar working on Molecular Biology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Petr Tauš has authored 5 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Petr Tauš's work include Single-cell and spatial transcriptomics (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Advanced Breast Cancer Therapies (1 paper). Petr Tauš is often cited by papers focused on Single-cell and spatial transcriptomics (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Advanced Breast Cancer Therapies (1 paper). Petr Tauš collaborates with scholars based in Czechia and Germany. Petr Tauš's co-authors include Jana M. Braunger, Ricardo O. Ramirez Flores, Pau Badia-i-Mompel, Julio Sáez-Rodríguez, Aurélien Dugourd, Daniel Dimitrov, Sophia Müller‐Dott, Celina Geiß, Christian H. Holland and Karla Plevová and has published in prestigious journals such as Cell Reports, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research and Frontiers in Genetics.

In The Last Decade

Petr Tauš

5 papers receiving 334 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.

decoupleR: ensemble of computational methods to infer biological activities from omics data

2022 302 citations Pau Badia-i-Mompel, Jana M. Braunger et al. Bioinformatics Advances profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Petr Tauš Czechia	3	182	91	46	39	31	5	336
Jana M. Braunger Germany	3	227 1.2×	95 1.0×	48 1.0×	48 1.2×	31 1.0×	5	385
Isidoro Cobo United States	9	153 0.8×	81 0.9×	31 0.7×	29 0.7×	15 0.5×	16	296
Xiaoxuan Fan United States	9	184 1.0×	142 1.6×	77 1.7×	44 1.1×	32 1.0×	32	337
Hidetaka Ohnuki United States	10	204 1.1×	83 0.9×	75 1.6×	47 1.2×	33 1.1×	23	385
Tian-Xia Jiang China	7	206 1.1×	48 0.5×	60 1.3×	47 1.2×	22 0.7×	10	289
Julian Wolf Germany	15	195 1.1×	166 1.8×	47 1.0×	26 0.7×	28 0.9×	47	777
Andrey Brydun Japan	10	215 1.2×	76 0.8×	38 0.8×	62 1.6×	55 1.8×	15	321
Gloria E. Hernandez United States	8	192 1.1×	181 2.0×	31 0.7×	40 1.0×	53 1.7×	11	396
Sonja Smith United States	10	206 1.1×	117 1.3×	39 0.8×	73 1.9×	22 0.7×	19	399
Bhairavi Swaminathan United States	11	130 0.7×	106 1.2×	61 1.3×	29 0.7×	16 0.5×	14	293

Countries citing papers authored by Petr Tauš

Since Specialization

Citations

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

Fields of papers citing papers by Petr Tauš

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Petr Tauš

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

All Works

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5 of 5 papers shown

1.

Váňová, Tereza, Jiří Sedmík, Jan Raška, et al.. (2023). Cerebral organoids derived from patients with Alzheimer’s disease with PSEN1/2 mutations have defective tissue patterning and altered development. Cell Reports. 42(11). 113310–113310. 23 indexed citations

2.

Badia-i-Mompel, Pau, Jana M. Braunger, Celina Geiß, et al.. (2022). decoupleR: ensemble of computational methods to infer biological activities from omics data. Bioinformatics Advances. 2(1). vbac016–vbac016. 302 indexed citations breakdown →

3.

Mančíková, Veronika, Šárka Pavlová, Petr Tauš, et al.. (2022). Distinct p53 phosphorylation patterns in chronic lymphocytic leukemia patients are reflected in the activation of circumjacent pathways upon DNA damage. Molecular Oncology. 17(1). 82–97. 2 indexed citations

4.

Tauš, Petr, et al.. (2022). Single-cell RNA sequencing analysis of T helper cell differentiation and heterogeneity. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1869(10). 119321–119321. 7 indexed citations

5.

Tauš, Petr, Šárka Pospı́šilová, & Karla Plevová. (2021). Identification of Clinically Relevant Subgroups of Chronic Lymphocytic Leukemia Through Discovery of Abnormal Molecular Pathways. Frontiers in Genetics. 12. 627964–627964. 2 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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