Jan Ewald

1.3k citations
16 papers · 145 · h-index 8

Impact in

Papers in

    • Microbial Metabolic Engineering and Bioproduction 6
    • Gene Regulatory Network Analysis 4
    • Bioinformatics and Genomic Networks 3
    • Protein Structure and Dynamics 2
    • Gene expression and cancer classification 2
    • Evolution and Genetic Dynamics 3

Jan Ewald

14 papers receiving 144 citations

Peers

Jan Ewald
Comparison fields: 5 of 58
  • Infectious Diseases 29
  • Modeling and Simulation 6
  • Molecular Biology 79
  • Genetics 32
  • Immunology 21
Replace Ruipeng Lei with:
Ruipeng Lei United States
Xiaoying Koh Singapore
Simon Dökel Germany
Mari Shiratori United States
Karthik Bharadwaj Tallapaka India
Agnes Bonifacius Germany
Esteban Abeyta United States
Dejan Mesner United Kingdom
Roxana Cintrón United States
I’ah Donovan-Banfield United Kingdom
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Citations per field
00.5×2.7×
Ruipeng Lei · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Jan Ewald, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jan Ewald Line = papers co-authored together Jan Ewald links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201932
2 202119
3 201717
4 202113
5 201512
6 202011
7 201711
8 201711
9 20255
10 20245
11 20154
12 20222
13 20252
14 20241
15 20250
16 20240

About Jan Ewald

Jan Ewald is a scholar working on Molecular Biology, Genetics, Public Health, Environmental and Occupational Health, Computational Theory and Mathematics and Biomedical Engineering, having authored 16 papers that have together received 145 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (6 papers), Gene Regulatory Network Analysis (4 papers), Evolution and Genetic Dynamics (3 papers), Mathematical and Theoretical Epidemiology and Ecology Models (3 papers), Bioinformatics and Genomic Networks (3 papers), Computational Drug Discovery Methods (2 papers), Protein Structure and Dynamics (2 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Infectious Diseases (29 citations), Modeling and Simulation (6 citations), Molecular Biology (79 citations), Genetics (32 citations) and Immunology (21 citations). Jan Ewald has collaborated with scholars based in Germany, Morocco and Kuwait. Frequent co-authors include Christoph Kaleta, Stefan Schuster, M. Bartl, Stefan Schuster, Thomas Dandekar, Bashar Ibrahim, Patricia Sieber, Sebastian Germerodt, Ákos T. Kovács and Sebastian J. Vollmer. Their work appears in journals such as PLoS Computational Biology, BMC Bioinformatics, Nature Computational Science, Royal Society Open Science and Gastric Cancer.

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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