R. Hone

999 citations
43 papers · 758 · h-index 16

Impact in

Papers in

    • Antimicrobial Resistance in Staphylococcus 18
    • Infective Endocarditis Diagnosis and Management 7
    • Mycobacterium research and diagnosis 4

R. Hone

41 papers receiving 672 citations

Peers

R. Hone
Comparison fields: 5 of 84
  • Clinical Biochemistry 192
  • Infectious Diseases 450
  • Parasitology 76
  • Applied Microbiology and Biotechnology 19
  • Molecular Medicine 45
Replace Ian Kay with:
Ian Kay Australia
Ignacio Gadea Spain
John Harkness Australia
J. C. Samantaray India
Marvin J. Tenenbaum United States
Phyllis M. Rountree Australia
Myles E. Gombert United States
John G. Bartlett United States
Mazyar Ziyaeyan Iran
Manuel L. Fernández Guerrero Spain
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Citations per field
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Citations per year

Countries citing papers authored by R. Hone

Since Specialization
Citations

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

Fields of papers citing papers by R. Hone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside R. Hone, 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 R. Hone Line = papers co-authored together R. Hone 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 198283
2 199564
3 198959
4 198550
5 198344
6
Ivestigation of coagulase-negative staphylococci from infections in surgical patients.
197842
7 198242
8 198137
9 198533
10 199431
11 198825
12 198524
13 201021
14 198821
15 199616
16 200115
17 199015
18 197313
19 199611
20 19869

About R. Hone

R. Hone is a scholar working on Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health, Critical Care and Intensive Care Medicine and Clinical Biochemistry, having authored 43 papers that have together received 758 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (18 papers), Nosocomial Infections in ICU (7 papers), Infective Endocarditis Diagnosis and Management (7 papers), Bacterial Identification and Susceptibility Testing (7 papers), Streptococcal Infections and Treatments (6 papers), Mycobacterium research and diagnosis (4 papers), Bacterial biofilms and quorum sensing (3 papers) and Central Venous Catheters and Hemodialysis (3 papers). The work is most often cited by research in Clinical Biochemistry (192 citations), Infectious Diseases (450 citations), Parasitology (76 citations), Applied Microbiology and Biotechnology (19 citations) and Molecular Medicine (45 citations). R. Hone has collaborated with scholars based in Ireland, Australia and United Kingdom. Frequent co-authors include C. T. Keane, Mary Cafferkey, H. Pomeroy, David C. Coleman, Sean Blake, M. Cafferkey, Conor T. Keane, B. Maurer, Kevin Daly and Bijan Beigi. Their work appears in journals such as Journal of Hospital Infection, Journal of Medical Microbiology, The Lancet, Antimicrobial Agents and Chemotherapy 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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