Bernard Offmann

2.1k citations
60 papers · 1.6k · h-index 22

Impact in

    • Protein Structure and Dynamics
    • Machine Learning in Bioinformatics
    • RNA and protein synthesis mechanisms
    • Genomics and Phylogenetic Studies

Papers in

Bernard Offmann

55 papers receiving 1.5k citations

Peers

Bernard Offmann
Comparison fields: 5 of 101
  • Insect Science 170
  • Molecular Biology 899
  • Cellular and Molecular Neuroscience 209
  • Horticulture 11
  • Plant Science 346
Replace Hartmut Kayser with:
Hartmut Kayser Germany
Hervé Degand Belgium
Hong Fang China
Karin Athenstaedt Austria
Masahiro Miyashita Japan
Gianni Cappugi Italy
Seiji Takeda Japan
Jiao Wu China
Michaela Sedlářová Czechia
James L. Kerwin United States
Bernard Offmann relative to Hartmut Kayser Germany Hartmut Kayser's profile →
Citations per field
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Citations per year

Countries citing papers authored by Bernard Offmann

Since Specialization
Citations

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

Fields of papers citing papers by Bernard Offmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001133
2 2018110
3 2002106
4 2010103
5 2013102
6 201688
7 200773
8 201058
9 200750
10 200648
11 200645
12 199741
13 200640
14 201639
15 200938
16 200837
17 202034
18 202034
19 199733
20 201928

About Bernard Offmann

Bernard Offmann is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Insect Science, Biotechnology and Analytical Chemistry, having authored 60 papers that have together received 1.6k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (21 papers), Enzyme Structure and Function (12 papers), RNA and protein synthesis mechanisms (10 papers), Machine Learning in Bioinformatics (9 papers), Neurobiology and Insect Physiology Research (7 papers), Enzyme Production and Characterization (5 papers), Spectroscopy and Chemometric Analyses (5 papers) and Glycosylation and Glycoproteins Research (5 papers). The work is most often cited by research in Insect Science (170 citations), Molecular Biology (899 citations), Cellular and Molecular Neuroscience (209 citations), Horticulture (11 citations) and Plant Science (346 citations). Bernard Offmann has collaborated with scholars based in France, Réunion and India. Frequent co-authors include Frédéric Cadet, Manoj G Tyagi, Narayanaswamy Srinivasan, Alexandre G. de Brevern, Ramanathan Sowdhamini, Angélique D’Hont, Jean-Yves Hoarau, Matthieu Ng Fuk Chong, Philippe Arnaud and Brigitte Gontero. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Biochimie, Theoretical and Applied Genetics, PLoS ONE and Scientific Reports.

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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