D. Kenna
Impact in
- Endocrinology top 5%
- Infections and bacterial resistance
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
- Epidemiology 16
- Mycobacterium research and diagnosis 11
- Burkholderia infections and melioidosis 3
-
- Cystic Fibrosis Research Advances 14
- Co-authors
- Jane F. Turton (14 shared papers)John R. W. Govan (4 shared papers)Ken J. Forbes (4 shared papers)Kathryn Harris (2 shared papers)Christine Doig (3 shared papers)Kate Martin (4 shared papers)Z. Fang (3 shared papers)B. Watt (3 shared papers)
- Journals
- Journal of Cystic Fibrosis (10 papers)Journal of Medical Microbiology (6 papers)Journal of Clinical Microbiology (2 papers)Journal of Bacteriology (2 papers)Diagnostic Microbiology and Infectious Disease (2 papers)
- Partner nations
- United KingdomUnited StatesThailand
In The Last Decade
D. Kenna
36 papers receiving 692 citations
Peers
Comparison fields: 5 of 63
- Endocrinology 125
- Molecular Medicine 112
- Microbiology 9
- Infectious Diseases 182
- Epidemiology 297
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 | 75 | |
| 2 | 2017 | 64 | |
| 3 | 2007 | 59 | |
| 4 | 2012 | 54 | |
| 5 | 2003 | 43 | |
| 6 | 2013 | 41 | |
| 7 | 1999 | 38 | |
| 8 | 2015 | 36 | |
| 9 | 2020 | 36 | |
| 10 | 2015 | 33 | |
| 11 | 2011 | 26 | |
| 12 | 2014 | 25 | |
| 13 | 2017 | 25 | |
| 14 | 1999 | 21 | |
| 15 | 2001 | 18 | |
| 16 | 2017 | 18 | |
| 17 | 2021 | 17 | |
| 18 | 2003 | 17 | |
| 19 | 2022 | 9 | |
| 20 | 2021 | 9 |
About D. Kenna
D. Kenna is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Endocrinology, Molecular Medicine and Infectious Diseases, having authored 37 papers that have together received 723 indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (14 papers), Mycobacterium research and diagnosis (11 papers), Infections and bacterial resistance (9 papers), Antibiotic Resistance in Bacteria (8 papers), Tuberculosis Research and Epidemiology (4 papers), Bacterial biofilms and quorum sensing (4 papers), Bacteriophages and microbial interactions (3 papers) and Burkholderia infections and melioidosis (3 papers). The work is most often cited by research in Endocrinology (125 citations), Molecular Medicine (112 citations), Microbiology (9 citations), Infectious Diseases (182 citations) and Epidemiology (297 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, Kathryn Harris, Christine Doig, Kate Martin, Z. Fang, B. Watt, Claire Perry and Victoria A. Barcus. Their work appears in journals such as Journal of Cystic Fibrosis, Journal of Medical Microbiology, Journal of Clinical Microbiology, Journal of Bacteriology 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.