David E. Mahony

1.7k citations
54 papers · 1.5k · h-index 23

Impact in

Papers in

David E. Mahony

53 papers receiving 1.3k citations

Peers

David E. Mahony
Comparison fields: 5 of 98
  • Infectious Diseases 409
  • Clinical Biochemistry 150
  • Pharmacology 153
  • Biochemistry 112
  • Endocrinology, Diabetes and Metabolism 185
Replace Frederick M. Kahan with:
Frederick M. Kahan United States
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Ronald E. Painter United States
Karthe Ponnuraj India
Mahesh V. Patel India
David Hendlin United States
Robert J. Kerns United States
W. O. Godtfredsen Denmark
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David E. Mahony relative to Frederick M. Kahan United States Frederick M. Kahan's profile →
Citations per field
00.5×2×4×6×8.4×
Frederick M. Kahan · 1×
Citations per year

Countries citing papers authored by David E. Mahony

Since Specialization
Citations

This map shows the geographic impact of David E. Mahony'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 David E. Mahony with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David E. Mahony more than expected).

Fields of papers citing papers by David E. Mahony

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David E. Mahony. 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 David E. Mahony. The network helps show where David E. Mahony may publish in the future.

Co-authors

The 25 scholars most cited alongside David E. Mahony, 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 David E. Mahony Line = papers co-authored together David E. Mahony links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002211
2 197876
3 197670
4 197667
5 197865
6 197364
7 197963
8 199959
9 197555
10 197948
11 197444
12 200042
13 197740
14 198535
15 199132
16 200132
17 197731
18 197430
19 198928
20 197826

About David E. Mahony

David E. Mahony is a scholar working on Clinical Biochemistry, Infectious Diseases, Endocrinology, Diabetes and Metabolism, Cell Biology and Food Science, having authored 54 papers that have together received 1.5k indexed citations. Recurring topics across this work include Clostridium difficile and Clostridium perfringens research (23 papers), Bacterial Identification and Susceptibility Testing (16 papers), Hormonal Regulation and Hypertension (12 papers), Aldose Reductase and Taurine (11 papers), Probiotics and Fermented Foods (10 papers), Gut microbiota and health (8 papers), Bacteriophages and microbial interactions (7 papers) and Steroid Chemistry and Biochemistry (5 papers). The work is most often cited by research in Infectious Diseases (409 citations), Clinical Biochemistry (150 citations), Pharmacology (153 citations), Biochemistry (112 citations) and Endocrinology, Diabetes and Metabolism (185 citations). David E. Mahony has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Ian Andrew Macdonald, C. N. Williams, Neil Burford, Melanie D. Eelman, Michael G. Morash, Ian A. MacDonald, Lillian V. Holdeman, Ginette R. Webb, Gurmit Singh and K. B. Easterbrook. Their work appears in journals such as Canadian Journal of Microbiology, Applied and Environmental Microbiology, Antimicrobial Agents and Chemotherapy, Journal of Clinical Microbiology and Steroids.

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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