M. Lindsay Grayson
- Infectious Diseases top 0.5%
- Epidemiology top 2%
- Pharmacology top 0.5%
- Public Health, Environmental and Occupational Health top 2%
- Clinical Biochemistry top 0.5%
- Co-authors
- Benjamin P. HowdenJohn TurnidgeGeorge M. EliopoulosPatrick G. P. CharlesJason A. TrubianoMary Jane FerraroWendy MunckhofMonica A. Slavin
- Topics
- Antimicrobial Resistance in Staphylococcus (24 papers)Bacterial Identification and Susceptibility Testing (13 papers)Pneumonia and Respiratory Infections (12 papers)
- 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
- Infectious Diseases 1.6k
- Epidemiology 1.4k
- Pharmacology 971
- Public Health, Environmental and Occupational Health 657
- Clinical Biochemistry 636
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 of co-authors of M. Lindsay Grayson
This figure shows the co-authorship network connecting the top 25 collaborators of M. Lindsay Grayson. A scholar is included among the top collaborators of M. Lindsay Grayson 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 M. Lindsay Grayson. M. Lindsay Grayson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 76 | |
| 2 | 12 | |
| 3 | 8 | |
| 4 | Kucers’ The use of Antibiotics | 11 |
| 5 | Core components for effective infection prevention and control programmes: new WHO evidence-based recommendationsbreakdown → | 334 |
| 6 | 66 | |
| 7 | 105 | |
| 8 | 25 | |
| 9 | 112 | |
| 10 | 85 | |
| 11 | 5 | |
| 12 | 12 | |
| 13 | 2 | |
| 14 | 372 | |
| 15 | 15 | |
| 16 | 7 | |
| 17 | 16 | |
| 18 | 10 | |
| 19 | 182 | |
| 20 | 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) and Pneumonia and Respiratory Infections (12 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. Their work appears in journals such as JAMA, Clinical Infectious Diseases and Journal of Bacteriology.
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.