Elena Kuzmin

3.4k total citations
21 papers, 855 citations indexed

About

Elena Kuzmin is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Elena Kuzmin has authored 21 papers receiving a total of 855 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Plant Science. Recurrent topics in Elena Kuzmin's work include Bioinformatics and Genomic Networks (8 papers), Fungal and yeast genetics research (8 papers) and Gene Regulatory Network Analysis (4 papers). Elena Kuzmin is often cited by papers focused on Bioinformatics and Genomic Networks (8 papers), Fungal and yeast genetics research (8 papers) and Gene Regulatory Network Analysis (4 papers). Elena Kuzmin collaborates with scholars based in Canada, United States and United Kingdom. Elena Kuzmin's co-authors include Charles Boone, Michael Costanzo, Brenda Andrews, John S. Taylor, Jolanda van Leeuwen, Chad L. Myers, Barbara Mair, Jason Moffat, Anastasia Baryshnikova and Benjamin VanderSluis and has published in prestigious journals such as Science, Cell and Nucleic Acids Research.

In The Last Decade

Elena Kuzmin

18 papers receiving 846 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Elena Kuzmin Canada	12	595	138	129	124	99	21	855
Benjamin VanderSluis United States	13	593 1.0×	76 0.6×	134 1.0×	87 0.7×	53 0.5×	16	769
Satoru Nogami Japan	20	924 1.6×	241 1.7×	119 0.9×	181 1.5×	85 0.9×	54	1.3k
Dimitris Tzamarias Greece	17	1.5k 2.5×	102 0.7×	112 0.9×	280 2.3×	85 0.9×	26	1.6k
Stephanie Chu Singapore	12	689 1.2×	102 0.7×	81 0.6×	68 0.5×	29 0.3×	26	1.2k
Benjamin Pavie Belgium	16	437 0.7×	80 0.6×	53 0.4×	197 1.6×	45 0.5×	27	818
Maureen McLeod United States	15	1.0k 1.7×	195 1.4×	173 1.3×	156 1.3×	77 0.8×	21	1.1k
Yoshito Kakihara Japan	16	929 1.6×	204 1.5×	65 0.5×	72 0.6×	50 0.5×	40	1.1k
Marcius S. Almeida Brazil	18	823 1.4×	87 0.6×	36 0.3×	125 1.0×	91 0.9×	42	1.2k
Oleg I. Klychnikov Netherlands	14	483 0.8×	43 0.3×	79 0.6×	79 0.6×	59 0.6×	29	796

Countries citing papers authored by Elena Kuzmin

Since Specialization

Citations

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

Fields of papers citing papers by Elena Kuzmin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elena Kuzmin

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

All Works

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20 of 20 papers shown

Zapata, Gerardo, et al.. (2025). PARPAL: PARalog Protein redistribution using Abundance and Localization in yeast database. G3 Genes Genomes Genetics. 15(9).

Luppi, Andrea I., Zhen-Qi Liu, Justine Y. Hansen, et al.. (2025). Benchmarking macaque brain gene expression for horizontal and vertical translation. Science Advances. 11(9). eads6967–eads6967. 3 indexed citations

Fishman, Dmytro, Helena Friesen, Erin B. Styles, et al.. (2025). Single-cell imaging of protein dynamics of paralogs reveals sources of gene retention. iScience. 28(7). 112771–112771. 1 indexed citations

Kuzmin, Elena, Toby M. Baker, Peter Van Loo, & Leon Glass. (2024). Dynamics of karyotype evolution. Chaos An Interdisciplinary Journal of Nonlinear Science. 34(5).

Kuzmin, Elena, et al.. (2024). Trans-regulatory variant network contributes to missing heritability. Cell Genomics. 4(1). 100470–100470. 1 indexed citations

Coelho, Paula P., Geoffrey G. Hesketh, Elena Kuzmin, et al.. (2022). Endosomal LC3C-pathway selectively targets plasma membrane cargo for autophagic degradation. Nature Communications. 13(1). 3812–3812. 19 indexed citations

Hansen, Justine Y., Ross D. Markello, Lauri Tuominen, et al.. (2022). Correspondence between gene expression and neurotransmitter receptor and transporter density in the human brain. NeuroImage. 264. 119671–119671. 31 indexed citations

Kuzmin, Elena, Jean Monlong, Hellen Kuasne, et al.. (2021). Inferring Copy Number from Triple-Negative Breast Cancer Patient Derived Xenograft scRNAseq Data Using scCNA. Methods in molecular biology. 2381. 285–303.

Kuzmin, Elena, Mahfuzur Rahman, Benjamin VanderSluis, et al.. (2021). τ-SGA: synthetic genetic array analysis for systematically screening and quantifying trigenic interactions in yeast. Nature Protocols. 16(2). 1219–1250. 7 indexed citations

10.

Kuzmin, Elena, John S. Taylor, & Charles Boone. (2021). Retention of duplicated genes in evolution. Trends in Genetics. 38(1). 59–72. 123 indexed citations

11.

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

12.

Halaoui, Ruba, Elena Kuzmin, Andrew J. Putnam, et al.. (2019). Dispersible hydrogel force sensors reveal patterns of solid mechanical stress in multicellular spheroid cultures. Nature Communications. 10(1). 144–144. 98 indexed citations

13.

Costanzo, Michael, Elena Kuzmin, Jolanda van Leeuwen, et al.. (2019). Global Genetic Networks and the Genotype-to-Phenotype Relationship. Cell. 177(1). 85–100. 143 indexed citations

14.

Kuzmin, Elena, Michael Costanzo, Brenda Andrews, & Charles Boone. (2016). Synthetic Genetic Arrays: Automation of Yeast Genetics. Cold Spring Harbor Protocols. 2016(4). pdb.top086652–pdb.top086652. 8 indexed citations

15.

Kuzmin, Elena, Michael Costanzo, Brenda Andrews, & Charles Boone. (2016). Synthetic Genetic Array Analysis. Cold Spring Harbor Protocols. 2016(4). pdb.prot088807–pdb.prot088807. 24 indexed citations

16.

Kuzmin, Elena, Sara Sharifpoor, Anastasia Baryshnikova, et al.. (2014). Synthetic Genetic Array Analysis for Global Mapping of Genetic Networks in Yeast. Methods in molecular biology. 1205. 143–168. 26 indexed citations

17.

Mann, Paul A., Catherine A. McLellan, Sandra Koseoglu, et al.. (2014). Chemical Genomics-Based Antifungal Drug Discovery: Targeting Glycosylphosphatidylinositol (GPI) Precursor Biosynthesis. ACS Infectious Diseases. 1(1). 59–72. 65 indexed citations

18.

Deshpande, Raamesh, Michael K. Asiedu, Mitchell Klebig, et al.. (2013). A Comparative Genomic Approach for Identifying Synthetic Lethal Interactions in Human Cancer. Cancer Research. 73(20). 6128–6136. 47 indexed citations

19.

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

20.

Magtanong, Leslie, Cheuk Hei Ho, Sarah L. Barker, et al.. (2011). Dosage suppression genetic interaction networks enhance functional wiring diagrams of the cell. Nature Biotechnology. 29(6). 505–511. 78 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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