Matej Ušaj

3.8k total citations
11 papers, 544 citations indexed

About

Matej Ušaj is a scholar working on Molecular Biology, Biophysics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Matej Ušaj has authored 11 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Biophysics and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Matej Ušaj's work include Bioinformatics and Genomic Networks (6 papers), Fungal and yeast genetics research (4 papers) and Single-cell and spatial transcriptomics (3 papers). Matej Ušaj is often cited by papers focused on Bioinformatics and Genomic Networks (6 papers), Fungal and yeast genetics research (4 papers) and Single-cell and spatial transcriptomics (3 papers). Matej Ušaj collaborates with scholars based in Canada, United States and Spain. Matej Ušaj's co-authors include Charles Boone, Brenda Andrews, Chad L. Myers, Michael Costanzo, Benjamin VanderSluis, Elena Kuzmin, Wen Wang, Anastasia Baryshnikova, Leopold Parts and Omar Wagih and has published in prestigious journals such as Science, Nucleic Acids Research and Genetics.

In The Last Decade

Matej Ušaj

11 papers receiving 540 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matej Ušaj Canada	9	483	91	69	51	41	11	544
Daniel Jaschob United States	7	593 1.2×	53 0.6×	57 0.8×	109 2.1×	30 0.7×	14	673
Mariona Nadal‐Ribelles Spain	9	475 1.0×	34 0.4×	82 1.2×	60 1.2×	20 0.5×	17	523
Christophe Normand France	13	619 1.3×	73 0.8×	83 1.2×	30 0.6×	19 0.5×	23	654
Anna Ligasová Czechia	14	354 0.7×	38 0.4×	25 0.4×	28 0.5×	57 1.4×	29	478
Dale M. Cameron United States	8	618 1.3×	119 1.3×	59 0.9×	85 1.7×	8 0.2×	11	683
Antonia Lock United Kingdom	11	684 1.4×	46 0.5×	76 1.1×	96 1.9×	13 0.3×	16	756
Pierre Therizols France	9	831 1.7×	68 0.7×	191 2.8×	43 0.8×	15 0.4×	11	873
Danny Zeevi Israel	8	894 1.9×	239 2.6×	71 1.0×	16 0.3×	33 0.8×	13	1.0k
Keun-Joon Park Japan	6	563 1.2×	57 0.6×	118 1.7×	24 0.5×	12 0.3×	10	682
Daniel F. Jaramillo United States	6	843 1.7×	163 1.8×	107 1.6×	47 0.9×	15 0.4×	8	956

Countries citing papers authored by Matej Ušaj

Since Specialization

Citations

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

Fields of papers citing papers by Matej Ušaj

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matej Ušaj

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

All Works

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11 of 11 papers shown

Litsios, Athanasios, et al.. (2024). Expanding TheCellVision.org: a central repository for visualizing and mining high-content cell imaging projects. Genetics. 227(1). 1 indexed citations

Valton, Anne-Laure, Sergey V. Venev, Barbara Mair, et al.. (2022). A cohesin traffic pattern genetically linked to gene regulation. Nature Structural & Molecular Biology. 29(12). 1239–1251. 43 indexed citations

Arita, Yuko, Zhijian Li, Helena Friesen, et al.. (2021). A genome‐scale yeast library with inducible expression of individual genes. Molecular Systems Biology. 17(6). e10207–e10207. 35 indexed citations

Costanzo, Michael, Jing Hou, Vincent Messier, et al.. (2021). Environmental robustness of the global yeast genetic interaction network. Science. 372(6542). 40 indexed citations

Kuzmin, Elena, Benjamin VanderSluis, Alex N. Nguyen Ba, et al.. (2020). Exploring whole-genome duplicate gene retention with complex genetic interaction analysis. Science. 368(6498). 70 indexed citations

Leeuwen, Jolanda van, Carles Pons, Guihong Tan, et al.. (2020). Systematic analysis of bypass suppression of essential genes. Molecular Systems Biology. 16(9). e9828–e9828. 37 indexed citations

Ušaj, Mojca Mattiazzi, et al.. (2020). TheCellVision.org: A Database for Visualizing and Mining High-Content Cell Imaging Projects. G3 Genes Genomes Genetics. 10(11). 3969–3976. 6 indexed citations

Ušaj, Mojca Mattiazzi, Helena Friesen, Carles Pons, et al.. (2020). Systematic genetics and single‐cell imaging reveal widespread morphological pleiotropy and cell‐to‐cell variability. Molecular Systems Biology. 16(2). e9243–e9243. 38 indexed citations

Mair, Barbara, Jelena Tomić, Sanna N. Masud, et al.. (2019). Essential Gene Profiles for Human Pluripotent Stem Cells Identify Uncharacterized Genes and Substrate Dependencies. Cell Reports. 27(2). 599–615.e12. 80 indexed citations

10.

Ušaj, Matej, Wen Wang, Benjamin VanderSluis, et al.. (2017). TheCellMap.org: A Web-Accessible Database for Visualizing and Mining the Global Yeast Genetic Interaction Network. G3 Genes Genomes Genetics. 7(5). 1539–1549. 84 indexed citations

11.

Wagih, Omar, Matej Ušaj, Anastasia Baryshnikova, et al.. (2013). SGAtools: one-stop analysis and visualization of array-based genetic interaction screens. Nucleic Acids Research. 41(W1). W591–W596. 110 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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