Daria Ezeriņa

2.2k total citations · 2 hit papers
18 papers, 1.2k citations indexed

About

Daria Ezeriņa is a scholar working on Molecular Biology, Biochemistry and Cell Biology. According to data from OpenAlex, Daria Ezeriņa has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Biochemistry and 3 papers in Cell Biology. Recurrent topics in Daria Ezeriņa's work include Redox biology and oxidative stress (10 papers), Sulfur Compounds in Biology (5 papers) and Heat shock proteins research (3 papers). Daria Ezeriņa is often cited by papers focused on Redox biology and oxidative stress (10 papers), Sulfur Compounds in Biology (5 papers) and Heat shock proteins research (3 papers). Daria Ezeriņa collaborates with scholars based in Belgium, Germany and Russia. Daria Ezeriņa's co-authors include Tobias P. Dick, Bruce Morgan, Brandán Pedre, Uladzimir Barayeu, Yasuteru Urano, Kenjiro Hanaoka, Yoko Takano, Matthias Seedorf, Jan Riemer and Daniel Pastor‐Flores and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Daria Ezeriņa

16 papers receiving 1.2k citations

Hit Papers

N-Acetyl Cysteine Functio... 2018 2026 2020 2023 2018 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daria Ezeriņa Belgium 12 722 297 119 106 82 18 1.2k
Ari Zeida Uruguay 19 660 0.9× 281 0.9× 143 1.2× 67 0.6× 52 0.6× 52 1.0k
Carsten Uhd Nielsen Denmark 27 693 1.0× 454 1.5× 178 1.5× 90 0.8× 52 0.6× 107 2.1k
Lucía Turell Uruguay 15 817 1.1× 353 1.2× 164 1.4× 123 1.2× 81 1.0× 22 1.4k
Amelia Barilli Italy 23 472 0.7× 209 0.7× 154 1.3× 70 0.7× 139 1.7× 52 1.4k
Lara Console Italy 23 1.2k 1.7× 581 2.0× 176 1.5× 64 0.6× 119 1.5× 67 2.0k
Suping Yang United States 9 741 1.0× 130 0.4× 198 1.7× 74 0.7× 123 1.5× 13 1.4k
Marc O. Anderson United States 23 1.2k 1.6× 115 0.4× 118 1.0× 58 0.5× 83 1.0× 56 2.0k
Margaret E. Tome United States 26 1.1k 1.5× 122 0.4× 124 1.0× 145 1.4× 108 1.3× 59 1.8k
Laurence Huc France 15 852 1.2× 86 0.3× 176 1.5× 104 1.0× 91 1.1× 26 1.6k
Valentina Battaglia Italy 23 890 1.2× 218 0.7× 165 1.4× 62 0.6× 64 0.8× 50 1.8k

Countries citing papers authored by Daria Ezeriņa

Since Specialization
Citations

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

Fields of papers citing papers by Daria Ezeriņa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daria Ezeriņa

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

All Works

18 of 18 papers shown
1.
Elvira, Bernat, Ao Li, Joris Messens, et al.. (2025). Genome editing of TXNIP in human pluripotent stem cells for the generation of hepatocyte-like cells and insulin-producing islet-like aggregates. Stem Cell Research & Therapy. 16(1). 225–225.
2.
Bass, David, Daria Ezeriņa, Valeriy V. Pak, et al.. (2025). A color-tailored fluorogenic sensor for hydrogen peroxide. Nature Chemical Biology.
3.
Gilglioni, Eduardo Hideo, Didier Vertommen, Nicolas Baeyens, et al.. (2024). Tracking fructose 1,6-bisphosphate dynamics in liver cancer cells using a fluorescent biosensor. iScience. 27(12). 111336–111336. 2 indexed citations
4.
Ezeriņa, Daria, Julia Ivanova, Natalia Pugovkina, et al.. (2024). HyPer as a tool to determine the reductive activity in cellular compartments. Redox Biology. 70. 103058–103058. 12 indexed citations
5.
Ezeriņa, Daria, Yvon Elkrim, Gaëtan Herinckx, et al.. (2023). Peroxiredoxin-1 is an H2O2 safe-guard antioxidant and signalling enzyme in M1 macrophages. SHILAP Revista de lepidopterología. 9. 100083–100083. 1 indexed citations
6.
Kostyuk, Alexander I., Maria‐Armineh Tossounian, Marion Thauvin, et al.. (2022). Hypocrates is a genetically encoded fluorescent biosensor for (pseudo)hypohalous acids and their derivatives. Nature Communications. 13(1). 171–171. 16 indexed citations
7.
Wahni, Khadija, Tamás Lázár, Sébastien Pyr dit Ruys, et al.. (2021). Thiol-disulphide independent in-cell trapping for the identification of peroxiredoxin 2 interactors. Redox Biology. 46. 102066–102066. 6 indexed citations
8.
Pedre, Brandán, Uladzimir Barayeu, Daria Ezeriņa, & Tobias P. Dick. (2021). The mechanism of action of N-acetylcysteine (NAC): The emerging role of H2S and sulfane sulfur species. Pharmacology & Therapeutics. 228. 107916–107916. 288 indexed citations breakdown →
9.
Bolduc, Jesalyn, et al.. (2021). Peroxiredoxins wear many hats: Factors that fashion their peroxide sensing personalities. Redox Biology. 42. 101959–101959. 59 indexed citations
10.
Wahni, Khadija, et al.. (2021). Prdx1 Interacts with ASK1 upon Exposure to H2O2 and Independently of a Scaffolding Protein. Antioxidants. 10(7). 1060–1060. 11 indexed citations
11.
Gibhardt, Christine S., et al.. (2020). Redox regulation of the mitochondrial calcium transport machinery. Current Opinion in Physiology. 17. 138–148. 2 indexed citations
12.
Young, David, Brandán Pedre, Daria Ezeriņa, et al.. (2018). Protein Promiscuity in H 2 O 2 Signaling. Antioxidants and Redox Signaling. 30(10). 1285–1324. 25 indexed citations
13.
Ezeriņa, Daria, Yoko Takano, Kenjiro Hanaoka, Yasuteru Urano, & Tobias P. Dick. (2018). N-Acetyl Cysteine Functions as a Fast-Acting Antioxidant by Triggering Intracellular H2S and Sulfane Sulfur Production. Cell chemical biology. 25(4). 447–459.e4. 304 indexed citations breakdown →
14.
Morgan, Bruce, Koen Van Laer, Daria Ezeriņa, et al.. (2016). Real-time monitoring of basal H2O2 levels with peroxiredoxin-based probes. Nature Chemical Biology. 12(6). 437–443. 187 indexed citations
15.
Ezeriņa, Daria, Bruce Morgan, & Tobias P. Dick. (2014). Imaging dynamic redox processes with genetically encoded probes. Journal of Molecular and Cellular Cardiology. 73. 43–49. 54 indexed citations
16.
Kisseljova, N. P., Petr Dmitriev, Daria Ezeriņa, et al.. (2014). DNA polymorphism and epigenetic marks modulate the affinity of a scaffold/matrix attachment region to the nuclear matrix. European Journal of Human Genetics. 22(9). 1117–1123. 12 indexed citations
17.
Ezeriņa, Daria, et al.. (2012). Exploring ORFan Domains in Giant Viruses: Structure of Mimivirus Sulfhydryl Oxidase R596. PLoS ONE. 7(11). e50649–e50649. 12 indexed citations
18.
Morgan, Bruce, et al.. (2012). Multiple glutathione disulfide removal pathways mediate cytosolic redox homeostasis. Nature Chemical Biology. 9(2). 119–125. 237 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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