Dan Gregson

1.7k citations
24 papers · 1.2k · h-index 14

Impact in

    • Bacterial Identification and Susceptibility Testing
    • Antimicrobial Resistance in Staphylococcus
    • Amoebic Infections and Treatments
    • Clostridium difficile and Clostridium perfringens research
    • Viral gastroenteritis research and epidemiology

Papers in

Dan Gregson

21 papers receiving 1.1k citations

Peers

Dan Gregson
Comparison fields: 5 of 77
  • Clinical Biochemistry 245
  • Infectious Diseases 601
  • Molecular Medicine 147
  • Applied Microbiology and Biotechnology 49
  • Endocrinology 66
Replace Nancy K. Henry with:
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Citations per field
00.5×3.4×
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Citations per year

Countries citing papers authored by Dan Gregson

Since Specialization
Citations

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

Fields of papers citing papers by Dan Gregson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan Gregson. 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 Dan Gregson. The network helps show where Dan Gregson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004223
2 2014160
3 2006141
4 2004135
5 2006101
6 200388
7 201176
8 200871
9 201371
10 199240
11 200724
12 201621
13
Methicillin-resistant Staphylococcus aureus in Ontario.
199718
14 201915
15 20148
16 20125
17 20184
18 19954
19 20203
20
Optimizing standard patient management through order sets - impact on care (blood cultures).
20093

About Dan Gregson

Dan Gregson is a scholar working on Infectious Diseases, Clinical Biochemistry, Public Health, Environmental and Occupational Health, Molecular Medicine and Epidemiology, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (9 papers), Antimicrobial Resistance in Staphylococcus (8 papers), Streptococcal Infections and Treatments (4 papers), Antibiotic Resistance in Bacteria (4 papers), Neonatal and Maternal Infections (3 papers), Antibiotic Use and Resistance (2 papers), Amoebic Infections and Treatments (1 paper) and Infective Endocarditis Diagnosis and Management (1 paper). The work is most often cited by research in Clinical Biochemistry (245 citations), Infectious Diseases (601 citations), Molecular Medicine (147 citations), Applied Microbiology and Biotechnology (49 citations) and Endocrinology (66 citations). Dan Gregson has collaborated with scholars based in Canada, United States and South Africa. Frequent co-authors include Kevin B. Laupland, Gilaad G. Kaplan, Deirdre L. Church, Johann Pitout, Terry Ross, Michael D. Parkins, Reed Siemieniuk, M. John Gill, Sue C. Kehl and Jeanne A. Jordan. Their work appears in journals such as Journal of Clinical Microbiology, Clinical Gastroenterology and Hepatology, The Journal of Infectious Diseases, Epidemiology and Infection and Infection.

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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