Sarah L. Baines
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria 9
- Clinical Biochemistry top 1%
- Bacterial Identification and Susceptibility Testing 16
- Infectious Diseases top 2%
- Antimicrobial Resistance in Staphylococcus 32
- Endocrinology top 2%
- Vibrio bacteria research studies 4
- Microbiology top 5%
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- Bacterial biofilms and quorum sensing 21
- Genomics and Phylogenetic Studies 6
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- Salmonella and Campylobacter epidemiology 4
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- Mycobacterium research and diagnosis 4
- Co-authors
- Benjamin P. HowdenTimothy P. StinearIan R. MonkStefano GiulieriTorsten SeemannJean LeeAbderrahman HachaniLiam K. R. Sharkey
- Journals
- Nature Communications (1 paper)PLoS ONE (1 paper)Applied and Environmental Microbiology (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Sarah L. Baines
50 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Molecular Medicine 273
- Clinical Biochemistry 305
- Infectious Diseases 723
- Endocrinology 196
- Microbiology 123
Countries citing papers authored by Sarah L. Baines
This map shows the geographic impact of Sarah L. Baines'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 Sarah L. Baines with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah L. Baines more than expected).
Fields of papers citing papers by Sarah L. Baines
This network shows the impact of papers produced by Sarah L. Baines. 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 Sarah L. Baines. The network helps show where Sarah L. Baines may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sarah L. Baines, 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 | 2024 | 2 | |
| 2 | 2023 | 2 | |
| 3 | Staphylococcus aureus host interactions and adaptationbreakdown → | 2023 | 373 |
| 4 | 2023 | 1 | |
| 5 | 2023 | 15 | |
| 6 | 2021 | 8 | |
| 7 | 2021 | 2 | |
| 8 | 2021 | 14 | |
| 9 | 2020 | 27 | |
| 10 | 2020 | 7 | |
| 11 | 2019 | 16 | |
| 12 | 2019 | 11 | |
| 13 | 2019 | 12 | |
| 14 | 2018 | 51 | |
| 15 | 2018 | 31 | |
| 16 | 2018 | 15 | |
| 17 | 2018 | 44 | |
| 18 | 2017 | 10 | |
| 19 | 2017 | 26 | |
| 20 | 2017 | 11 |
About Sarah L. Baines
Sarah L. Baines is a scholar working on Clinical Biochemistry, Infectious Diseases and Molecular Medicine, having authored 51 papers that have together received 1.5k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (32 papers), Bacterial biofilms and quorum sensing (21 papers), Bacterial Identification and Susceptibility Testing (16 papers), Antibiotic Resistance in Bacteria (9 papers), Genomics and Phylogenetic Studies (6 papers), Salmonella and Campylobacter epidemiology (4 papers), Vibrio bacteria research studies (4 papers) and Mycobacterium research and diagnosis (4 papers). The work is most often cited by research in Molecular Medicine (273 citations), Clinical Biochemistry (305 citations) and Infectious Diseases (723 citations). Sarah L. Baines has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Benjamin P. Howden, Timothy P. Stinear, Ian R. Monk, Stefano Giulieri, Torsten Seemann, Jean Lee, Abderrahman Hachani, Liam K. R. Sharkey, Tania Wong Fok Lung and Anders Gonçalves da Silva. Their work appears in journals such as Nature Communications, PLoS ONE and Applied and Environmental 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.