Iván Domenzain

1.8k total citations
13 papers, 986 citations indexed

About

Iván Domenzain is a scholar working on Molecular Biology, Biomedical Engineering and Food Science. According to data from OpenAlex, Iván Domenzain has authored 13 papers receiving a total of 986 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Biomedical Engineering and 2 papers in Food Science. Recurrent topics in Iván Domenzain's work include Microbial Metabolic Engineering and Bioproduction (11 papers), Biofuel production and bioconversion (8 papers) and Fungal and yeast genetics research (4 papers). Iván Domenzain is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (11 papers), Biofuel production and bioconversion (8 papers) and Fungal and yeast genetics research (4 papers). Iván Domenzain collaborates with scholars based in Sweden, Denmark and Ireland. Iván Domenzain's co-authors include Jens Nielsen, Eduard J. Kerkhoven, Benjamín J. Sánchez, Simonas Marcišauskas, Hao Wang, Mihail Anton, Rasmus Ågren, Feiran Li, Nikolaus Sonnenschein and Hongzhong Lu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Protocols.

In The Last Decade

Iván Domenzain

13 papers receiving 980 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iván Domenzain Sweden 10 901 319 45 41 36 13 986
Mihail Anton Sweden 8 666 0.7× 198 0.6× 47 1.0× 33 0.8× 41 1.1× 10 735
Sorena Rahmanian United States 5 1.4k 1.5× 559 1.8× 37 0.8× 30 0.7× 38 1.1× 7 1.5k
Dominik Heer Switzerland 8 612 0.7× 375 1.2× 33 0.7× 50 1.2× 25 0.7× 15 791
Anne‐Gaëlle Planson France 14 553 0.6× 84 0.3× 23 0.5× 15 0.4× 14 0.4× 18 707
Hilal Taymaz‐Nikerel Netherlands 12 536 0.6× 144 0.5× 8 0.2× 37 0.9× 20 0.6× 19 665
Marco J. L. de Groot Netherlands 8 414 0.5× 157 0.5× 10 0.2× 41 1.0× 10 0.3× 11 501
Klaus Natter Austria 20 1.4k 1.5× 279 0.9× 127 2.8× 44 1.1× 41 1.1× 27 1.7k
Tatsuji Enoki Japan 14 433 0.5× 66 0.2× 26 0.6× 37 0.9× 11 0.3× 24 978
Agustín Hernández Spain 12 507 0.6× 107 0.3× 10 0.2× 44 1.1× 22 0.6× 30 659
Anne Richelle United States 15 502 0.6× 110 0.3× 18 0.4× 12 0.3× 25 0.7× 34 606

Countries citing papers authored by Iván Domenzain

Since Specialization
Citations

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

Fields of papers citing papers by Iván Domenzain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iván Domenzain

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

All Works

13 of 13 papers shown
1.
Domenzain, Iván, et al.. (2025). Computational biology predicts metabolic engineering targets for increased production of 103 valuable chemicals in yeast. Proceedings of the National Academy of Sciences. 122(9). e2417322122–e2417322122. 2 indexed citations
2.
Chen, Yu, Johan Gustafsson, Mihail Anton, et al.. (2024). Reconstruction, simulation and analysis of enzyme-constrained metabolic models using GECKO Toolbox 3.0. Nature Protocols. 19(3). 629–667. 45 indexed citations
3.
4.
Domenzain, Iván, Benjamín J. Sánchez, Mihail Anton, et al.. (2022). Reconstruction of a catalogue of genome-scale metabolic models with enzymatic constraints using GECKO 2.0. Nature Communications. 13(1). 3766–3766. 90 indexed citations
5.
Ishchuk, Olena P., Iván Domenzain, Benjamín J. Sánchez, et al.. (2022). Genome-scale modeling drives 70-fold improvement of intracellular heme production in Saccharomyces cerevisiae. Proceedings of the National Academy of Sciences. 119(30). e2108245119–e2108245119. 61 indexed citations
6.
Domenzain, Iván, et al.. (2021). A novel yeast hybrid modeling framework integrating Boolean and enzyme-constrained networks enables exploration of the interplay between signaling and metabolism. PLoS Computational Biology. 17(4). e1008891–e1008891. 21 indexed citations
7.
Sánchez, Benjamín J., Petri‐Jaan Lahtvee, Kate Campbell, et al.. (2021). Benchmarking accuracy and precision of intensity‐based absolute quantification of protein abundances in Saccharomyces cerevisiae. PROTEOMICS. 21(6). e2000093–e2000093. 12 indexed citations
8.
Domenzain, Iván, Feiran Li, Eduard J. Kerkhoven, & Verena Siewers. (2021). Evaluating accessibility, usability and interoperability of genome-scale metabolic models for diverse yeasts species. FEMS Yeast Research. 21(1). 7 indexed citations
9.
Lu, Hongzhong, Feiran Li, Le Yuan, et al.. (2021). Yeast metabolic innovations emerged via expanded metabolic network and gene positive selection. Molecular Systems Biology. 17(10). e10427–e10427. 28 indexed citations
10.
Domenzain, Iván, Aarón Millán-Oropeza, Rui Pereira, et al.. (2020). Stress-induced expression is enriched for evolutionarily young genes in diverse budding yeasts. Nature Communications. 11(1). 2144–2144. 20 indexed citations
11.
Robinson, Jonathan L., Pınar Kocabaş, Hao Wang, et al.. (2020). An atlas of human metabolism. Science Signaling. 13(624). 240 indexed citations
12.
Lu, Hongzhong, Feiran Li, Benjamín J. Sánchez, et al.. (2019). A consensus S. cerevisiae metabolic model Yeast8 and its ecosystem for comprehensively probing cellular metabolism. Nature Communications. 10(1). 3586–3586. 224 indexed citations
13.
Wang, Hao, Simonas Marcišauskas, Benjamín J. Sánchez, et al.. (2018). RAVEN 2.0: A versatile toolbox for metabolic network reconstruction and a case study on Streptomyces coelicolor. PLoS Computational Biology. 14(10). e1006541–e1006541. 233 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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