John Ferguson

5.3k citations
153 papers · 3.2k · h-index 32

Impact in

Papers in

    • Antimicrobial Resistance in Staphylococcus 10
    • Clostridium difficile and Clostridium perfringens research 7
    • Infection Control in Healthcare 6

John Ferguson

142 papers receiving 3.0k citations

Peers

John Ferguson
Comparison fields: 5 of 166
  • Endocrinology 398
  • Molecular Medicine 273
  • Applied Microbiology and Biotechnology 80
  • Infectious Diseases 578
  • Critical Care and Intensive Care Medicine 99
Replace E. M. Cooke with:
E. M. Cooke United Kingdom
B. A. Cunha United States
John Z. Montgomerie United States
D. van der Waaij Netherlands
P. Berthelot France
R. Finch United Kingdom
Michael F. Parry United States
Paul H. M. Savelkoul Netherlands
Bette Jensen United States
Amita Jain India
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Citations per field
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E. M. Cooke · 1×
Citations per year

Countries citing papers authored by John Ferguson

Since Specialization
Citations

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

Fields of papers citing papers by John Ferguson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 153 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989210
2 1996196
3 2016111
4 198998
5 201297
6 200688
7 201687
8 198783
9 200676
10 199571
11 201158
12 200657
13 201255
14 201355
15 200555
16 199254
17 200354
18 200049
19 200748
20 199043

About John Ferguson

John Ferguson is a scholar working on Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health, Molecular Biology and Surgery, having authored 153 papers that have together received 3.2k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (10 papers), Neonatal and Maternal Infections (8 papers), Antibiotic Resistance in Bacteria (7 papers), Clostridium difficile and Clostridium perfringens research (7 papers), Surgical site infection prevention (6 papers), Infection Control in Healthcare (6 papers), Bacterial Identification and Susceptibility Testing (5 papers) and Antibiotics Pharmacokinetics and Efficacy (4 papers). The work is most often cited by research in Endocrinology (398 citations), Molecular Medicine (273 citations), Applied Microbiology and Biotechnology (80 citations), Infectious Diseases (578 citations) and Critical Care and Intensive Care Medicine (99 citations). John Ferguson has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Bryan Simmons, Michael Haas, Patrick N. A. Harris, Thomas V. Riley, Brett Mitchell, Paul Wilson, Allen Cheng, Malcolm Anderson, Adrian Barnett and J. W. Sear. Their work appears in journals such as The Medical Journal of Australia, Infection Disease & Health, Journal of Antimicrobial Chemotherapy, Pathology and PLoS ONE.

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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