Glenn E. Dale
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
Papers in
-
- Antibiotic Resistance in Bacteria 18
- Co-authors
- Christian Oefner (18 shared papers)A. D’Arcy (11 shared papers)Henk Schulz (8 shared papers)Dietrich Stüber (6 shared papers)Hanno Langen (5 shared papers)Michael Hennig (2 shared papers)Patrick H. Viollier (5 shared papers)Rudolf Then (5 shared papers)
- Journals
- Antimicrobial Agents and Chemotherapy (9 papers)Journal of Molecular Biology (7 papers)Journal of Antimicrobial Chemotherapy (5 papers)Journal of Bacteriology (4 papers)Protein Engineering Design and Selection (3 papers)
- Partner nations
- SwitzerlandUnited KingdomUnited States
In The Last Decade
Glenn E. Dale
60 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 119
- Molecular Medicine 448
- Applied Microbiology and Biotechnology 65
- Microbiology 177
- Pharmacology 445
- Molecular Biology 1.6k
Countries citing papers authored by Glenn E. Dale
This map shows the geographic impact of Glenn E. Dale'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 Glenn E. Dale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Glenn E. Dale more than expected).
Fields of papers citing papers by Glenn E. Dale
This network shows the impact of papers produced by Glenn E. Dale. 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 Glenn E. Dale. The network helps show where Glenn E. Dale may publish in the future.
Co-authors
The 25 scholars most cited alongside Glenn E. Dale, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 222 | |
| 2 | 2017 | 172 | |
| 3 | 1997 | 152 | |
| 4 | 2003 | 138 | |
| 5 | 1997 | 132 | |
| 6 | 2018 | 115 | |
| 7 | 2004 | 108 | |
| 8 | 1992 | 87 | |
| 9 | 2009 | 84 | |
| 10 | 2006 | 83 | |
| 11 | 1989 | 80 | |
| 12 | 2004 | 69 | |
| 13 | 2003 | 69 | |
| 14 | 2001 | 65 | |
| 15 | 1991 | 64 | |
| 16 | 2003 | 63 | |
| 17 | 1994 | 62 | |
| 18 | 1994 | 60 | |
| 19 | 2020 | 58 | |
| 20 | 2001 | 56 |
About Glenn E. Dale
Glenn E. Dale is a scholar working on Molecular Biology, Molecular Medicine, Infectious Diseases, Epidemiology and Pharmacology, having authored 64 papers that have together received 3.0k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (18 papers), Peptidase Inhibition and Analysis (9 papers), Antimicrobial Resistance in Staphylococcus (8 papers), Enzyme Structure and Function (7 papers), Pneumocystis jirovecii pneumonia detection and treatment (6 papers), Microbial Natural Products and Biosynthesis (6 papers), Neuropeptides and Animal Physiology (6 papers) and Bacterial Genetics and Biotechnology (5 papers). The work is most often cited by research in Molecular Medicine (448 citations), Applied Microbiology and Biotechnology (65 citations), Microbiology (177 citations), Pharmacology (445 citations) and Molecular Biology (1.6k citations). Glenn E. Dale has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Christian Oefner, A. D’Arcy, Henk Schulz, Dietrich Stüber, Hanno Langen, Michael Hennig, Patrick H. Viollier, Rudolf Then, Klaus Dembowsky and Malcolm G. P. Page. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Molecular Biology, Journal of Antimicrobial Chemotherapy, Journal of Bacteriology and Protein Engineering Design and Selection.
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.