Frank Bernhard

6.8k citations
138 papers · 5.4k · h-index 47

Impact in

    • RNA and protein synthesis mechanisms
    • Lipid Membrane Structure and Behavior
    • Protein Structure and Dynamics
    • Receptor Mechanisms and Signaling

Papers in

    • RNA and protein synthesis mechanisms 50
    • Lipid Membrane Structure and Behavior 33
    • Receptor Mechanisms and Signaling 18
    • Protein Structure and Dynamics 14
    • Bacterial Genetics and Biotechnology 25

Frank Bernhard

134 papers receiving 5.3k citations

Peers

Frank Bernhard
Comparison fields: 5 of 125
  • Molecular Biology 4.1k
  • Biotechnology 327
  • Pharmacology 555
  • Endocrinology 166
  • Genetics 891
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Citations per field
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Citations per year

Countries citing papers authored by Frank Bernhard

Since Specialization
Citations

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

Fields of papers citing papers by Frank Bernhard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 138 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999226
2 2007218
3 2004196
4 2005171
5 2002149
6 2011148
7 2000136
8 2006123
9 2008119
10 2008108
11 2010107
12 2006105
13 2011102
14 201090
15 200786
16 200885
17 201174
18 199372
19 201570
20 201767

About Frank Bernhard

Frank Bernhard is a scholar working on Molecular Biology, Genetics, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience and Plant Science, having authored 138 papers that have together received 5.4k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (50 papers), Lipid Membrane Structure and Behavior (33 papers), Bacterial Genetics and Biotechnology (25 papers), Monoclonal and Polyclonal Antibodies Research (24 papers), Receptor Mechanisms and Signaling (18 papers), Protein Structure and Dynamics (14 papers), Plant Pathogenic Bacteria Studies (12 papers) and Photoreceptor and optogenetics research (8 papers). The work is most often cited by research in Molecular Biology (4.1k citations), Biotechnology (327 citations), Pharmacology (555 citations), Endocrinology (166 citations) and Genetics (891 citations). Frank Bernhard has collaborated with scholars based in Germany, United States and Russia. Frequent co-authors include Volker Dötsch, Dániel Schwarz, Frank Löhr, Markus Wehland, Christian Klammt, Friederike Junge, Birgit Schneider, Sina Reckel, Erik Henrich and Christian Roos. Their work appears in journals such as Journal of Biological Chemistry, Journal of Biomolecular NMR, Biochimica et Biophysica Acta (BBA) - Biomembranes, Journal of Molecular Biology and FEBS Journal.

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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