Normann Strack

476 citations
5 papers · 351 · h-index 4

Impact in

    • Gene expression and cancer classification
    • Fungal and yeast genetics research
    • Bioinformatics and Genomic Networks
    • Microbial Metabolic Engineering and Bioproduction
    • Peroxisome Proliferator-Activated Receptors
    • RNA Research and Splicing
    • Molecular Biology Techniques and Applications
    • Aquaculture disease management and microbiota

Papers in

    • Bioinformatics and Genomic Networks 3
    • Genomics and Phylogenetic Studies 2
    • Fungal and yeast genetics research 1
    • RNA Research and Splicing 1
    • Microbial Metabolic Engineering and Bioproduction 1
    • Machine Learning in Bioinformatics 1
    • Microbial Natural Products and Biosynthesis 1

Normann Strack

5 papers receiving 339 citations

Peers

Normann Strack
Comparison fields: 5 of 71
  • Molecular Biology 218
  • Immunology 38
  • Cancer Research 23
  • Aquatic Science 12
  • Clinical Biochemistry 9
Replace D B Davison with:
D B Davison United States
J.L. Christmann United States
Jingfang Chen China
Arjun N. Sasikumar United States
Marek Koter Poland
Carlos H. Trasviña‐Arenas Mexico
Tetsuo Fukada Japan
Gang Lu China
Zhong-Zhi Sun China
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Citations per field
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D B Davison · 1×
Citations per year

Countries citing papers authored by Normann Strack

Since Specialization
Citations

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

Fields of papers citing papers by Normann Strack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Normann Strack, 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 Normann Strack Line = papers co-authored together Normann Strack links everyone, so they are left out of the graph.

All Works

About Normann Strack

Normann Strack is a scholar working on Molecular Biology, Pharmacology, Infectious Diseases, Organic Chemistry and Surgery, having authored 5 papers that have together received 351 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (3 papers), Genomics and Phylogenetic Studies (2 papers), Fungal and yeast genetics research (1 paper), Microbial Natural Products and Biosynthesis (1 paper), RNA Research and Splicing (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Molecular Biology (218 citations), Immunology (38 citations), Cancer Research (23 citations), Aquatic Science (12 citations) and Clinical Biochemistry (9 citations). Normann Strack has collaborated with scholars based in Germany, Netherlands and India. Frequent co-authors include Vladimı́r Beneš, Jan M. Ruijter, Bernard Dujon, Marian J.A. Groot Koerkamp, Kaj Albermann, Anton Jan van Zonneveld, Wilhelm Ansorge, Arnoud J. Kal, Henk F. Tabak and Marlene van den Berg. Their work appears in journals such as BMC Genomics, Molecular Biology of the Cell, Nucleic Acids Research, Methods in molecular biology and German Conference on Bioinformatics.

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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