Bob Berno
Impact in
- Microbiology top 2%
- Antimicrobial Peptides and Activities
- Clinical Biochemistry top 10%
- Metabolism and Genetic Disorders
Papers in
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- Metabolism and Genetic Disorders 3
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- Antimicrobial Peptides and Activities 3
- Co-authors
- Richard M. Epand (13 shared papers)Raquel F. Epand (4 shared papers)Michael Schlame (6 shared papers)Yang Xu (4 shared papers)Mindong Ren (5 shared papers)Mary Jane Walzak (2 shared papers)Heng‐Yong Nie (2 shared papers)N. Stewart McIntyre (2 shared papers)
- Journals
- Biochemistry (2 papers)Journal of Biological Chemistry (2 papers)Biophysical Journal (2 papers)Nature Chemical Biology (2 papers)Antimicrobial Agents and Chemotherapy (1 paper)
- Partner nations
- CanadaUnited StatesIsrael
In The Last Decade
Bob Berno
26 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 105
- Microbiology 203
- Clinical Biochemistry 69
- Surfaces, Coatings and Films 62
- Biochemistry 62
- Molecular Biology 565
Countries citing papers authored by Bob Berno
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
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.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 155 | |
| 2 | 2012 | 113 | |
| 3 | 1999 | 105 | |
| 4 | 2016 | 103 | |
| 5 | 2009 | 80 | |
| 6 | 2014 | 52 | |
| 7 | 2005 | 50 | |
| 8 | 2018 | 42 | |
| 9 | 1995 | 40 | |
| 10 | 2019 | 40 | |
| 11 | 2010 | 38 | |
| 12 | 2010 | 36 | |
| 13 | 2018 | 33 | |
| 14 | 2006 | 29 | |
| 15 | 2006 | 24 | |
| 16 | 2006 | 23 | |
| 17 | 1996 | 19 | |
| 18 | 1999 | 19 | |
| 19 | 2009 | 15 | |
| 20 | 1996 | 11 |
About Bob Berno
Bob Berno is a scholar working on Clinical Biochemistry, Microbiology, Molecular Biology, Spectroscopy and Electrochemistry, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (7 papers), Mitochondrial Function and Pathology (6 papers), Antimicrobial Peptides and Activities (3 papers), Metabolism and Genetic Disorders (3 papers), Porphyrin and Phthalocyanine Chemistry (3 papers), Advanced NMR Techniques and Applications (2 papers), Force Microscopy Techniques and Applications (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Microbiology (203 citations), Clinical Biochemistry (69 citations), Surfaces, Coatings and Films (62 citations), Biochemistry (62 citations) and Molecular Biology (565 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, Yang Xu, Mindong Ren, Mary Jane Walzak, Heng‐Yong Nie, N. Stewart McIntyre, Alex D. Bain and Amram Mor. Their work appears in journals such as Biochemistry, Journal of Biological Chemistry, Biophysical Journal, Nature Chemical Biology and Antimicrobial Agents and Chemotherapy.
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.