Mihail Anton

1.4k total citations
10 papers, 735 citations indexed

About

Mihail Anton is a scholar working on Molecular Biology, Biomedical Engineering and Pharmacology. According to data from OpenAlex, Mihail Anton has authored 10 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Biomedical Engineering and 1 paper in Pharmacology. Recurrent topics in Mihail Anton's work include Microbial Metabolic Engineering and Bioproduction (9 papers), Biofuel production and bioconversion (5 papers) and Bioinformatics and Genomic Networks (3 papers). Mihail Anton is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (9 papers), Biofuel production and bioconversion (5 papers) and Bioinformatics and Genomic Networks (3 papers). Mihail Anton collaborates with scholars based in Sweden, Denmark and China. Mihail Anton's co-authors include Jens Nielsen, Eduard J. Kerkhoven, Iván Domenzain, Feiran Li, Benjamín J. Sánchez, Nikolaus Sonnenschein, Johan Gustafsson, Jonathan L. Robinson, Pınar Kocabaş and Mathias Uhlén and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Mihail Anton

10 papers receiving 731 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mihail Anton Sweden 8 666 198 47 41 33 10 735
Iván Domenzain Sweden 10 901 1.4× 319 1.6× 45 1.0× 36 0.9× 41 1.2× 13 986
Tianxing Zhou China 14 267 0.4× 128 0.6× 25 0.5× 35 0.9× 38 1.2× 38 594
Maria Pires Pacheco Luxembourg 11 422 0.6× 85 0.4× 35 0.7× 41 1.0× 14 0.4× 24 512
Anne Richelle United States 15 502 0.8× 110 0.6× 18 0.4× 25 0.6× 12 0.4× 34 606
Haosong Zhang China 8 222 0.3× 52 0.3× 19 0.4× 59 1.4× 20 0.6× 19 443
Matthias Festag Switzerland 10 155 0.2× 49 0.2× 25 0.5× 30 0.7× 15 0.5× 16 363
Ayako Kita Japan 18 668 1.0× 58 0.3× 24 0.5× 36 0.9× 9 0.3× 43 795
Yoann Gloaguen Germany 10 270 0.4× 60 0.3× 27 0.6× 35 0.9× 6 0.2× 15 356
Mark F. Ciaccio United States 9 282 0.4× 31 0.2× 14 0.3× 22 0.5× 22 0.7× 11 403
Karl Alex Hedin Denmark 8 296 0.4× 31 0.2× 26 0.6× 32 0.8× 53 1.6× 10 374

Countries citing papers authored by Mihail Anton

Since Specialization
Citations

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

Fields of papers citing papers by Mihail Anton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mihail Anton

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

All Works

10 of 10 papers shown
1.
Wu, Ke, Yuanyuan Huang, Mihail Anton, et al.. (2025). GotEnzymes2: expanding coverage of enzyme kinetics and thermal properties. Nucleic Acids Research. 54(D1). D583–D592. 1 indexed citations
2.
Mazurenko, Stanislav, Martin Scheringer, Vítor A. P. Martins dos Santos, et al.. (2024). Making PBPK models more reproducible in practice. Briefings in Bioinformatics. 25(6). 5 indexed citations
3.
Sánchez, Benjamín J., Feiran Li, William T. Scott, et al.. (2024). Yeast9: a consensus genome-scale metabolic model for S. cerevisiae curated by the community. Molecular Systems Biology. 20(10). 1134–1150. 13 indexed citations
4.
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
5.
Gustafsson, Johan, Mihail Anton, Rebecka Jörnsten, et al.. (2023). Generation and analysis of context-specific genome-scale metabolic models derived from single-cell RNA-Seq data. Proceedings of the National Academy of Sciences. 120(6). e2217868120–e2217868120. 27 indexed citations
6.
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
7.
Li, Feiran, Yu Chen, Mihail Anton, & Jens Nielsen. (2022). GotEnzymes: an extensive database of enzyme parameter predictions. Nucleic Acids Research. 51(D1). D583–D586. 32 indexed citations
8.
Wang, Hao, Jonathan L. Robinson, Pınar Kocabaş, et al.. (2021). Genome-scale metabolic network reconstruction of model animals as a platform for translational research. Proceedings of the National Academy of Sciences. 118(30). 58 indexed citations
9.
Robinson, Jonathan L., Pınar Kocabaş, Hao Wang, et al.. (2020). An atlas of human metabolism. Science Signaling. 13(624). 240 indexed citations
10.
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

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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