Bob Berno

1.2k citations
26 papers · 985 · h-index 18

Impact in

Papers in

    • Lipid Membrane Structure and Behavior 7
    • Mitochondrial Function and Pathology 6
    • ATP Synthase and ATPases Research 2
    • Porphyrin and Phthalocyanine Chemistry 3

Bob Berno

25 papers receiving 973 citations

Peers

Bob Berno
Comparison fields: 5 of 104
  • Microbiology 186
  • Clinical Biochemistry 68
  • Surfaces, Coatings and Films 59
  • Biochemistry 58
  • Molecular Biology 528
Replace David S. Johnston with:
David S. Johnston United Kingdom
J. J. López Cascales Spain
Philippe Méléard France
Paul Free United Kingdom
Mario Salwiczek Germany
Xiaofeng Han China
Jeffrey D. Meyer United States
Kazuhiro Fukada Japan
Karin Enander Sweden
Christian Schwieger Germany
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Citations per field
00.5×10.3×
David S. Johnston · 1×
Citations per year

Countries citing papers authored by Bob Berno

Since Specialization
Citations

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

Fields of papers citing papers by Bob Berno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008145
2 2012102
3 199999
4 201696
5 200970
6 200549
7 201446
8 199540
9 201039
10 201839
11 201036
12 201933
13 201830
14 200629
15 200623
16 200622
17 199918
18 199618
19 200914
20 199611

About Bob Berno

Bob Berno is a scholar working on Molecular Biology, Materials Chemistry, Atomic and Molecular Physics, and Optics, Clinical Biochemistry and Spectroscopy, having authored 26 papers that have together received 985 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (7 papers), Mitochondrial Function and Pathology (6 papers), Metabolism and Genetic Disorders (3 papers), Porphyrin and Phthalocyanine Chemistry (3 papers), Antimicrobial Peptides and Activities (3 papers), Advanced NMR Techniques and Applications (2 papers), Dental Implant Techniques and Outcomes (2 papers) and ATP Synthase and ATPases Research (2 papers). The work is most often cited by research in Microbiology (186 citations), Clinical Biochemistry (68 citations), Surfaces, Coatings and Films (59 citations), Biochemistry (58 citations) and Molecular Biology (528 citations). Bob Berno has collaborated with scholars based in Canada, United States and Israel. Frequent co-authors include Richard M. Epand, Raquel F. Epand, Michael Schlame, Alex D. Bain, Mindong Ren, Yang Xu, N. S. McIntyre, Mary Jane Walzak, Shahar Rotem and Heng‐Yong Nie. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Nature Chemical Biology, Biophysical Journal and Journal of the American Chemical Society.

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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