Johannes Geiselmann

4.4k citations
63 papers · 3.0k indexed · h-index 31

Impact in

    • Vibrio bacteria research studies
  • Genetics top 1%
    • Bacterial Genetics and Biotechnology
    • Evolution and Genetic Dynamics

Papers in

    • Bacterial Genetics and Biotechnology 39
    • Evolution and Genetic Dynamics 7
    • Gene Regulatory Network Analysis 28
    • Microbial Metabolic Engineering and Bioproduction 20
    • RNA and protein synthesis mechanisms 20
    • DNA and Nucleic Acid Chemistry 8
    • Protein Structure and Dynamics 6

Johannes Geiselmann

62 papers receiving 3.0k citations

Peers

Johannes Geiselmann
Comparison fields: 5 of 131
  • Endocrinology 290
  • Genetics 1.2k
  • Molecular Biology 2.4k
  • Molecular Medicine 114
  • Ecology 399
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Johannes Geiselmann relative to Anat Bren Israel Anat Bren's profile →
Citations per field
00.5×1.5×1.9×
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Citations per year

Countries citing papers authored by Johannes Geiselmann

Since Specialization
Citations

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

Fields of papers citing papers by Johannes Geiselmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20255
2 20223
3 20214
4 201817
5 201740
6 201718
7 201542
8 201493
9 201110
10 200751
11 200580
12 200520
13 200523
14 200366
15 2003241
16 200134
17
Qualitative simulation of genetic regulatory networks: method and application
200124
18 199837
19 199723
20 199250

About Johannes Geiselmann

Johannes Geiselmann is a scholar working on Genetics, Molecular Biology, Biophysics, Ecology and Physical and Theoretical Chemistry, having authored 63 papers that have together received 3.0k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (39 papers), Gene Regulatory Network Analysis (28 papers), Microbial Metabolic Engineering and Bioproduction (20 papers), RNA and protein synthesis mechanisms (20 papers), Bacteriophages and microbial interactions (9 papers), DNA and Nucleic Acid Chemistry (8 papers), Evolution and Genetic Dynamics (7 papers) and Protein Structure and Dynamics (6 papers). The work is most often cited by research in Endocrinology (290 citations), Genetics (1.2k citations), Molecular Biology (2.4k citations), Molecular Medicine (114 citations) and Ecology (399 citations). Johannes Geiselmann has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Hidde de Jong, Delphine Ropers, Céline Hernandez, Dominique Schneider, Michel Le Page, Nadège Philippe, Peter H. von Hippel, Jean‐Pierre Alcaraz, Evelyne Coursange and Jean‐Luc Gouzé. Their work appears in journals such as PLoS Computational Biology, Bioinformatics, Biochemistry, Nucleic Acids Research and Proceedings of the National Academy of Sciences.

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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