D. Kenna

1.2k citations
43 papers · 1k · h-index 18

Impact in

Papers in

    • Infections and bacterial resistance 15
    • Burkholderia infections and melioidosis 11
    • Mycobacterium research and diagnosis 5

D. Kenna

42 papers receiving 982 citations

Peers

D. Kenna
Comparison fields: 5 of 51
  • Endocrinology 146
  • Molecular Medicine 112
  • Epidemiology 290
  • Infectious Diseases 163
  • Pulmonary and Respiratory Medicine 197
Replace Silvia Campana with:
Silvia Campana Italy
M E Campbell Canada
Laura J. Sherrard United Kingdom
Shawn T. Clark Canada
Emily L. Dolben United States
Manuel Ponce Alonso Spain
A. Mena Spain
Katherine A. Rhodes United States
Jung‐Jung Mu Taiwan
Mithila Ferdous Netherlands
D. Kenna relative to Silvia Campana Italy Silvia Campana's profile →
Citations per field
00.5×2×3×3.6×
Silvia Campana · 1×
Citations per year

Countries citing papers authored by D. Kenna

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with D. Kenna Line = papers co-authored together D. Kenna links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015129
2 201481
3 199976
4 201768
5 200758
6 201256
7 201345
8 200343
9 202041
10 201540
11 199939
12 201539
13 201329
14 201128
15 201728
16 201425
17 201719
18 202119
19 200118
20 201918

About D. Kenna

D. Kenna is a scholar working on Endocrinology, Epidemiology, Pulmonary and Respiratory Medicine, Infectious Diseases and Molecular Medicine, having authored 43 papers that have together received 1k indexed citations. Recurring topics across this work include Infections and bacterial resistance (15 papers), Cystic Fibrosis Research Advances (13 papers), Burkholderia infections and melioidosis (11 papers), Bacterial biofilms and quorum sensing (7 papers), Mycobacterium research and diagnosis (5 papers), Bacteriophages and microbial interactions (3 papers), Tuberculosis Research and Epidemiology (3 papers) and Infection Control in Healthcare (2 papers). The work is most often cited by research in Endocrinology (146 citations), Molecular Medicine (112 citations), Epidemiology (290 citations), Infectious Diseases (163 citations) and Pulmonary and Respiratory Medicine (197 citations). D. Kenna has collaborated with scholars based in United Kingdom, Belgium and Thailand. Frequent co-authors include Jane F. Turton, Kathryn Harris, John R. W. Govan, Claire Perry, Kate Martin, Ken J. Forbes, B. Watt, Christine Doig, Z. Fang and Paul Aurora. Their work appears in journals such as Journal of Cystic Fibrosis, Journal of Medical Microbiology, Diagnostic Microbiology and Infectious Disease, Microbiology Spectrum and Journal of Clinical Microbiology.

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.

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