Robert E. W. Hancock
Impact in
- Microbiology top 0.01%
- Antimicrobial Peptides and Activities
- Molecular Medicine top 0.01%
- Antibiotic Resistance in Bacteria
Papers in
- Microbiology 362
- Antimicrobial Peptides and Activities 346
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- Antibiotic Resistance in Bacteria 148
- Co-authors
- Kai Hilpert (19 shared papers)Irith Wiegand (11 shared papers)Hans‐Georg Sahl (2 shared papers)César de la Fuente‐Núñez (40 shared papers)Monisha G. Scott (16 shared papers)Håvard Jenssen (26 shared papers)Evan F. Haney (50 shared papers)Lucía Fernández (16 shared papers)
- Journals
- Antimicrobial Agents and Chemotherapy (74 papers)Journal of Bacteriology (72 papers)Infection and Immunity (37 papers)PLoS ONE (22 papers)The Journal of Immunology (22 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Robert E. W. Hancock
834 papers receiving 97.8k citations
Robert E. W. Hancock's Hit Papers
Peers
Comparison fields: 5 of 205
- Microbiology 44.8k
- Molecular Medicine 14.8k
- Endocrinology 4.9k
- Immunology 16.6k
- Molecular Biology 54.8k
Countries citing papers authored by Robert E. W. Hancock
This map shows the geographic impact of Robert E. W. Hancock'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 Robert E. W. Hancock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert E. W. Hancock more than expected).
Fields of papers citing papers by Robert E. W. Hancock
This network shows the impact of papers produced by Robert E. W. Hancock. 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 Robert E. W. Hancock. The network helps show where Robert E. W. Hancock may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert E. W. Hancock, 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 840 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Agar and broth dilution methods to determine the minimal inhibitory concentration (MIC) of antimicrobial substances Hit paper breakdown → | 2008 | 4985 |
| 2 | Complete genome sequence of Pseudomonas aeruginosa PAO1, an opportunistic pathogen Hit paper breakdown → | 2000 | 3770 |
| 3 | Antimicrobial and host-defense peptides as new anti-infective therapeutic strategies Hit paper breakdown → | 2006 | 3659 |
| 4 | Peptide Antimicrobial Agents Hit paper breakdown → | 2006 | 2155 |
| 5 | Designing antimicrobial peptides: form follows function Hit paper breakdown → | 2011 | 1753 |
| 6 | NetworkAnalyst 3.0: a visual analytics platform for comprehensive gene expression profiling and meta-analysis Hit paper breakdown → | 2019 | 1370 |
| 7 | Cationic peptides: a new source of antibiotics Hit paper breakdown → | 1998 | 1174 |
| 8 | Peptide Antibiotics Hit paper breakdown → | 1999 | 1103 |
| 9 | Pseudomonas aeruginosa : new insights into pathogenesis and host defenses Hit paper breakdown → | 2013 | 1064 |
| 10 | The role of cationic antimicrobial peptides in innate host defences Hit paper breakdown → | 2000 | 1058 |
| 11 | Peptide antibiotics Hit paper breakdown → | 1997 | 1021 |
| 12 | Pseudomonas aeruginosa: all roads lead to resistance Hit paper breakdown → | 2011 | 1010 |
| 13 | InnateDB: systems biology of innate immunity and beyond—recent updates and continuing curation Hit paper breakdown → | 2012 | 956 |
| 14 | The value of antimicrobial peptides in the age of resistance Hit paper breakdown → | 2020 | 929 |
| 15 | The role of antimicrobial peptides in animal defenses Hit paper breakdown → | 2000 | 851 |
| 16 | Cationic peptides: effectors in innate immunity and novel antimicrobials Hit paper breakdown → | 2001 | 841 |
| 17 | The relationship between peptide structure and antibacterial activity Hit paper breakdown → | 2003 | 809 |
| 18 | The immunology of host defence peptides: beyond antimicrobial activity Hit paper breakdown → | 2016 | 783 |
| 19 | NetworkAnalyst for statistical, visual and network-based meta-analysis of gene expression data Hit paper breakdown → | 2015 | 755 |
| 20 | Cationic host defense (antimicrobial) peptides Hit paper breakdown → | 2005 | 730 |
About Robert E. W. Hancock
Robert E. W. Hancock is a scholar working on Microbiology, Molecular Medicine, Molecular Biology, Immunology and Genetics, having authored 840 papers that have together received 101.3k indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (346 papers), Bacterial biofilms and quorum sensing (172 papers), Bacterial Genetics and Biotechnology (152 papers), Antibiotic Resistance in Bacteria (148 papers), Biochemical and Structural Characterization (116 papers), Immune Response and Inflammation (108 papers), Bacteriophages and microbial interactions (86 papers) and Lipid Membrane Structure and Behavior (74 papers). The work is most often cited by research in Microbiology (44.8k citations), Molecular Medicine (14.8k citations), Endocrinology (4.9k citations), Immunology (16.6k citations) and Molecular Biology (54.8k citations). Robert E. W. Hancock has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Kai Hilpert, Irith Wiegand, Hans‐Georg Sahl, César de la Fuente‐Núñez, Monisha G. Scott, Håvard Jenssen, Evan F. Haney, Lucía Fernández, Christopher D. Fjell and Shaan L. Gellatly. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Bacteriology, Infection and Immunity, PLoS ONE and The Journal of Immunology.
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.