D. Kenna
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
- Infections and bacterial resistance
Papers in
-
- Cystic Fibrosis Research Advances 16
- Epidemiology 16
- Mycobacterium research and diagnosis 11
- Co-authors
- Jane F. Turton (14 shared papers)John R. W. Govan (4 shared papers)Ken J. Forbes (4 shared papers)Claire Perry (6 shared papers)B. Watt (3 shared papers)Kate Martin (4 shared papers)Christine Doig (3 shared papers)Z. Fang (3 shared papers)
- Journals
- Journal of Cystic Fibrosis (10 papers)Journal of Medical Microbiology (6 papers)Journal of Bacteriology (2 papers)Journal of Clinical Microbiology (2 papers)Diagnostic Microbiology and Infectious Disease (2 papers)
- Partner nations
- United KingdomUnited StatesThailand
In The Last Decade
D. Kenna
36 papers receiving 663 citations
Peers
Comparison fields: 5 of 62
- Molecular Medicine 137
- Endocrinology 127
- Microbiology 14
- Small Animals 81
- Infectious Diseases 197
Countries citing papers authored by D. Kenna
This map shows the geographic impact of D. Kenna'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 D. Kenna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Kenna more than expected).
Fields of papers citing papers by D. Kenna
This network shows the impact of papers produced by D. Kenna. 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 D. Kenna. The network helps show where D. Kenna may publish in the future.
Co-authors
The 25 scholars most cited alongside D. Kenna, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 73 | |
| 2 | 2017 | 61 | |
| 3 | 2007 | 57 | |
| 4 | 2012 | 50 | |
| 5 | 2003 | 41 | |
| 6 | 2013 | 38 | |
| 7 | 1999 | 35 | |
| 8 | 2020 | 34 | |
| 9 | 2015 | 34 | |
| 10 | 2015 | 33 | |
| 11 | 2011 | 26 | |
| 12 | 2017 | 24 | |
| 13 | 2014 | 22 | |
| 14 | 1999 | 19 | |
| 15 | 2017 | 18 | |
| 16 | 2003 | 16 | |
| 17 | 2021 | 16 | |
| 18 | 2001 | 16 | |
| 19 | 2022 | 9 | |
| 20 | 2021 | 8 |
About D. Kenna
D. Kenna is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology, Endocrinology, Molecular Medicine and Molecular Biology, having authored 37 papers that have together received 685 indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (16 papers), Antibiotic Resistance in Bacteria (11 papers), Mycobacterium research and diagnosis (11 papers), Infections and bacterial resistance (10 papers), Bacterial biofilms and quorum sensing (6 papers), Plant Pathogenic Bacteria Studies (5 papers), Tuberculosis Research and Epidemiology (4 papers) and Bacteriophages and microbial interactions (3 papers). The work is most often cited by research in Molecular Medicine (137 citations), Endocrinology (127 citations), Microbiology (14 citations), Small Animals (81 citations) and Infectious Diseases (197 citations). D. Kenna has collaborated with scholars based in United Kingdom, United States and Thailand. Frequent co-authors include Jane F. Turton, John R. W. Govan, Ken J. Forbes, Claire Perry, B. Watt, Kate Martin, Christine Doig, Z. Fang, Kathryn Harris and Rachel Pike. Their work appears in journals such as Journal of Cystic Fibrosis, Journal of Medical Microbiology, Journal of Bacteriology, Journal of Clinical Microbiology and Diagnostic Microbiology and Infectious Disease.
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.