Jan Ewald

1.3k total citations
16 papers, 145 citations indexed

About

Jan Ewald is a scholar working on Molecular Biology, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Jan Ewald has authored 16 papers receiving a total of 145 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Jan Ewald's work include Microbial Metabolic Engineering and Bioproduction (6 papers), Gene Regulatory Network Analysis (4 papers) and Bioinformatics and Genomic Networks (3 papers). Jan Ewald is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (6 papers), Gene Regulatory Network Analysis (4 papers) and Bioinformatics and Genomic Networks (3 papers). Jan Ewald collaborates with scholars based in Germany, Kuwait and Morocco. Jan Ewald's co-authors include Christoph Kaleta, Stefan Schuster, Stefan Schuster, M. Bartl, Bashar Ibrahim, Thomas Dandekar, Patricia Sieber, Ákos T. Kovács, Sebastian Germerodt and Axel A. Brakhage and has published in prestigious journals such as Nature Reviews Genetics, Cellular and Molecular Life Sciences and BMC Bioinformatics.

In The Last Decade

Jan Ewald

14 papers receiving 144 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Ewald Germany 8 79 32 29 21 15 16 145
Kimberley A. Lewis United States 5 140 1.8× 28 0.9× 16 0.6× 20 1.0× 7 0.5× 7 180
Esteban Abeyta United States 5 180 2.3× 36 1.1× 30 1.0× 4 0.2× 19 1.3× 7 228
Steven Froelich United States 8 75 0.9× 53 1.7× 14 0.5× 13 0.6× 11 0.7× 10 122
Darryl Sampey United States 7 83 1.1× 15 0.5× 40 1.4× 21 1.0× 41 2.7× 11 155
S. Tsimbalyuk Australia 9 186 2.4× 33 1.0× 38 1.3× 82 3.9× 49 3.3× 14 274
Clare Miller United States 6 128 1.6× 5 0.2× 30 1.0× 23 1.1× 16 1.1× 7 196
Simon Dökel Germany 5 170 2.2× 20 0.6× 73 2.5× 28 1.3× 20 1.3× 9 285
Anne L. Thielke Denmark 5 113 1.4× 21 0.7× 22 0.8× 37 1.8× 17 1.1× 7 153
Matthew Hirano United States 3 179 2.3× 36 1.1× 18 0.6× 8 0.4× 19 1.3× 4 228
Paige Haas United States 3 73 0.9× 14 0.4× 22 0.8× 30 1.4× 28 1.9× 3 123

Countries citing papers authored by Jan Ewald

Since Specialization
Citations

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

Fields of papers citing papers by Jan Ewald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Ewald

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

All Works

16 of 16 papers shown
2.
Maani, Nason, et al.. (2025). Visible neural networks for multi-omics integration: a critical review. Frontiers in Artificial Intelligence. 8. 1595291–1595291. 2 indexed citations
3.
Ewald, Jan, et al.. (2025). Beyond the black box with biologically informed neural networks. Nature Reviews Genetics. 26(6). 371–372. 5 indexed citations
4.
Molinari, Chiara, Leonardo Solaini, Gianluca Tedaldi, et al.. (2024). Genomic events stratifying prognosis of early gastric cancer. Gastric Cancer. 27(6). 1189–1200.
5.
Ewald, Jan, et al.. (2024). Including glutamine in a resource allocation model of energy metabolism in cancer and yeast cells. npj Systems Biology and Applications. 10(1). 77–77. 5 indexed citations
6.
Maani, Nason, et al.. (2024). Visible neural networks for multi-omics integration: a critical review. bioRxiv (Cold Spring Harbor Laboratory). 1 indexed citations
7.
Ewald, Jan, et al.. (2022). Agent-based modelling of iron cycling bacteria provides a framework for testing alternative environmental conditions and modes of action. Royal Society Open Science. 9(5). 211553–211553. 2 indexed citations
8.
Ewald, Jan, et al.. (2021). Dynamic optimization reveals alveolar epithelial cells as key mediators of host defense in invasive aspergillosis. PLoS Computational Biology. 17(12). e1009645–e1009645. 13 indexed citations
9.
Schuster, Stefan, Jan Ewald, & Christoph Kaleta. (2021). Modeling the energy metabolism in immune cells. Current Opinion in Biotechnology. 68. 282–291. 19 indexed citations
10.
Ewald, Jan, et al.. (2020). Modelling population dynamics in a unicellular social organism community using a minimal model and evolutionary game theory. Open Biology. 10(11). 200206–200206. 11 indexed citations
11.
Ewald, Jan, et al.. (2019). Trends in mathematical modeling of host–pathogen interactions. Cellular and Molecular Life Sciences. 77(3). 467–480. 32 indexed citations
12.
Ewald, Jan, M. Bartl, Thomas Dandekar, & Christoph Kaleta. (2017). Optimality principles reveal a complex interplay of intermediate toxicity and kinetic efficiency in the regulation of prokaryotic metabolism. PLoS Computational Biology. 13(2). e1005371–e1005371. 11 indexed citations
13.
Ewald, Jan, M. Bartl, & Christoph Kaleta. (2017). Deciphering the regulation of metabolism with dynamic optimization: an overview of recent advances. Biochemical Society Transactions. 45(4). 1035–1043. 11 indexed citations
14.
Ewald, Jan, et al.. (2017). Modelling the host–pathogen interactions of macrophages and Candida albicans using Game Theory and dynamic optimization. Journal of The Royal Society Interface. 14(132). 20170095–20170095. 17 indexed citations
15.
Ewald, Jan, et al.. (2015). Footprints of Optimal Protein Assembly Strategies in the Operonic Structure of Prokaryotes. Metabolites. 5(2). 252–269. 4 indexed citations
16.
Balsa‐Canto, Eva, Jan Ewald, M. Bartl, et al.. (2015). Optimal programs of pathway control: dissecting the influence of pathway topology and feedback inhibition on pathway regulation. BMC Bioinformatics. 16(1). 12 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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