Peter Jehl

748 citations
4 papers · 202 · h-index 4

Impact in

    • Proteins in Food Systems
    • Probiotics and Fermented Foods
    • Protein Hydrolysis and Bioactive Peptides
    • RNA and protein synthesis mechanisms
    • Genomics and Phylogenetic Studies
    • Protein Structure and Dynamics
    • Machine Learning in Bioinformatics

Papers in

    • Bioinformatics and Genomic Networks 2
    • Protein Structure and Dynamics 2
    • Genomics and Phylogenetic Studies 2
    • Machine Learning in Bioinformatics 1
    • Microbial Metabolic Engineering and Bioproduction 1
    • vaccines and immunoinformatics approaches 1
    • Anomaly Detection Techniques and Applications 1

Peter Jehl

4 papers receiving 199 citations

Peers

Peter Jehl
Comparison fields: 5 of 61
  • Food Science 48
  • Molecular Biology 158
  • Immunology and Allergy 13
  • Microbiology 12
  • Animal Science and Zoology 16
Replace Toan K. Phung with:
Toan K. Phung Australia
Zsolt Ráduly Hungary
Svend Dam Denmark
Hugues Caillat France
C J Slangen Netherlands
Pascaline Garnot France
Emilia Krypotou Greece
Anett Stephan Germany
Guy Hardy Netherlands
Ali H. A. Maghrabi United Kingdom
Peter Jehl relative to Toan K. Phung Australia Toan K. Phung's profile →
Citations per field
00.5×10×16×
Toan K. Phung · 1×
Citations per year

Countries citing papers authored by Peter Jehl

Since Specialization
Citations

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

Fields of papers citing papers by Peter Jehl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Peter Jehl, 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 Peter Jehl Line = papers co-authored together Peter Jehl links everyone, so they are left out of the graph.

All Works

About Peter Jehl

Peter Jehl is a scholar working on Molecular Biology, Artificial Intelligence, Public Health, Environmental and Occupational Health, Spectroscopy and Infectious Diseases, having authored 4 papers that have together received 202 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (2 papers), Protein Structure and Dynamics (2 papers), Genomics and Phylogenetic Studies (2 papers), Machine Learning in Bioinformatics (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper), vaccines and immunoinformatics approaches (1 paper), Streptococcal Infections and Treatments (1 paper) and Anomaly Detection Techniques and Applications (1 paper). The work is most often cited by research in Food Science (48 citations), Molecular Biology (158 citations), Immunology and Allergy (13 citations), Microbiology (12 citations) and Animal Science and Zoology (16 citations). Peter Jehl has collaborated with scholars based in Ireland and Germany. Frequent co-authors include Norman E. Davey, Denis C. Shields, Desmond G. Higgins, Eugène Dillon, Thérèse A. Holton, Fabian Sievers, Robert J. Weatheritt, Holger Dinkel and Toby J. Gibson. Their work appears in journals such as Nucleic Acids Research, Journal of Proteome Research and BMC 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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