Graeme N. Forrest

7.2k citations
80 papers · 3.5k indexed · h-index 32

Graeme N. Forrest

78 papers receiving 3.4k citations

Peers

Graeme N. Forrest
Comparison fields: 5 of 129
  • Infectious Diseases 2.0k
  • Epidemiology 1.9k
  • Clinical Biochemistry 779
  • Applied Microbiology and Biotechnology 575
  • Public Health, Environmental and Occupational Health 349
Replace Karin Thursky with:
Karin Thursky Australia
Susan E. Beekmann United States
José Sifuentes‐Osornio Mexico
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Stefan P. Kuster Switzerland
Tony M. Korman Australia
George Alangaden United States
Deborah Marriott Australia
J. R. Dalovisio United States
C Kibbler United Kingdom
Graeme N. Forrest relative to Karin Thursky Australia Karin Thursky's profile →
Citations per field
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Citations per year

Countries citing papers authored by Graeme N. Forrest

Since Specialization
Citations

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

Fields of papers citing papers by Graeme N. Forrest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Graeme N. Forrest. 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 Graeme N. Forrest. The network helps show where Graeme N. Forrest may publish in the future.

Co-authorship network of co-authors of Graeme N. Forrest

This figure shows the co-authorship network connecting the top 25 collaborators of Graeme N. Forrest. A scholar is included among the top collaborators of Graeme N. Forrest based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Graeme N. Forrest. Graeme N. Forrest is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 2
3 18
4 9
5 11
6 46
7 55
8 9
9 24
10 38
11 28
12 32
13 101
14 15
15 36
16 70
17 47
18 41
19
Antimicrobial Management Program: Continual Cost Savings at a Large Teaching Medical Center
1
20
Prolonged outbreak of nosocomial urinary tract infection with a single strain of Pseudomonas aeruginosa.
21

About Graeme N. Forrest

Graeme N. Forrest is a scholar working on Applied Microbiology and Biotechnology, Infectious Diseases and Clinical Biochemistry, having authored 80 papers that have together received 3.5k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (28 papers), Fungal Infections and Studies (23 papers) and Antimicrobial Resistance in Staphylococcus (18 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (575 citations), Clinical Biochemistry (779 citations) and Infectious Diseases (2.0k citations). Graeme N. Forrest has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Elizabeth Weekes, J. Kristie Johnson, John W. Baddley, Marilyn M. Wagener, Harold C. Standiford, Shahid Husain, Eli N. Perencevich, Katherine K. Perez, Debra A. Goff and Richard A. Venezia. Their work appears in journals such as Clinical Microbiology Reviews, Clinical Infectious Diseases 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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