M. Lindsay Grayson
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria 9
- Clinical Biochemistry top 0.5%
- Bacterial Identification and Susceptibility Testing 13
- Infectious Diseases top 0.5%
- Antimicrobial Resistance in Staphylococcus 24
- Infection Control in Healthcare 7
- Rehabilitation top 1%
-
- Pneumonia and Respiratory Infections 12
- Respiratory viral infections research 9
-
- Drug-Induced Adverse Reactions 11
- Antibiotics Pharmacokinetics and Efficacy 9
- Co-authors
- Benjamin P. HowdenJohn TurnidgeGeorge M. EliopoulosPatrick G. P. CharlesJason A. TrubianoMary Jane FerraroWendy MunckhofMonica A. Slavin
- Partner nations
- AustraliaUnited StatesSwitzerland
In The Last Decade
M. Lindsay Grayson
92 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Applied Microbiology and Biotechnology 369
- Molecular Medicine 484
- Clinical Biochemistry 636
- Infectious Diseases 1.6k
- Rehabilitation 462
Countries citing papers authored by M. Lindsay Grayson
This map shows the geographic impact of M. Lindsay Grayson'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 M. Lindsay Grayson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Lindsay Grayson more than expected).
Fields of papers citing papers by M. Lindsay Grayson
This network shows the impact of papers produced by M. Lindsay Grayson. 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 M. Lindsay Grayson. The network helps show where M. Lindsay Grayson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M. Lindsay Grayson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 76 | |
| 2 | 2019 | 12 | |
| 3 | 2019 | 8 | |
| 4 | Kucers’ The use of Antibiotics | 2018 | 11 |
| 5 | Core components for effective infection prevention and control programmes: new WHO evidence-based recommendationsbreakdown → | 2017 | 334 |
| 6 | 2017 | 66 | |
| 7 | 2016 | 105 | |
| 8 | 2014 | 25 | |
| 9 | 2013 | 112 | |
| 10 | 2013 | 85 | |
| 11 | 2012 | 5 | |
| 12 | 2012 | 12 | |
| 13 | 2010 | 2 | |
| 14 | 2008 | 372 | |
| 15 | 2005 | 15 | |
| 16 | 2002 | 7 | |
| 17 | 1999 | 16 | |
| 18 | 1995 | 10 | |
| 19 | 1995 | 182 | |
| 20 | 1993 | 52 |
About M. Lindsay Grayson
M. Lindsay Grayson is a scholar working on Applied Microbiology and Biotechnology, Clinical Biochemistry and Infectious Diseases, having authored 95 papers that have together received 4.9k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (24 papers), Bacterial Identification and Susceptibility Testing (13 papers), Pneumonia and Respiratory Infections (12 papers), Drug-Induced Adverse Reactions (11 papers), Respiratory viral infections research (9 papers), Antibiotic Resistance in Bacteria (9 papers), Antibiotics Pharmacokinetics and Efficacy (9 papers) and Infection Control in Healthcare (7 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (369 citations), Molecular Medicine (484 citations) and Clinical Biochemistry (636 citations). M. Lindsay Grayson has collaborated with scholars based in Australia, United States and Switzerland. Frequent co-authors include Benjamin P. Howden, John Turnidge, George M. Eliopoulos, Patrick G. P. Charles, Jason A. Trubiano, Mary Jane Ferraro, Wendy Munckhof, Monica A. Slavin, Karin Thursky and Tony M. Korman.
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.