Sarah Boyd
Impact in
- Immunology and Allergy top 10%
Papers in
-
- Machine Learning in Bioinformatics 5
- Biochemical and Structural Characterization 4
- Signaling Pathways in Disease 3
- Immunology 10
- Co-authors
- Robert N. Pike (9 shared papers)Hieu T. Nim (12 shared papers)James C. Whisstock (6 shared papers)Nadia Rosenthal (5 shared papers)Milena B. Furtado (5 shared papers)María García de la Banda (4 shared papers)David M. Bamberger (1 shared paper)George B. Rudy (2 shared papers)
- Journals
- Ophthalmic Epidemiology (4 papers)Journal of Biological Chemistry (4 papers)PLoS ONE (3 papers)Biological Chemistry (2 papers)Bioinformatics (2 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Sarah Boyd
56 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 162
- Immunology and Allergy 83
- Applied Microbiology and Biotechnology 25
- Human-Computer Interaction 54
- Molecular Biology 659
- Cancer Research 139
Countries citing papers authored by Sarah Boyd
This map shows the geographic impact of Sarah Boyd'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 Boyd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah Boyd more than expected).
Fields of papers citing papers by Sarah Boyd
This network shows the impact of papers produced by Sarah Boyd. 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 Boyd. The network helps show where Sarah Boyd may publish in the future.
Co-authors
The 25 scholars most cited alongside Sarah Boyd, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 140 | |
| 2 | 2010 | 135 | |
| 3 | 2016 | 108 | |
| 4 | 2005 | 82 | |
| 5 | 2005 | 81 | |
| 6 | 2018 | 72 | |
| 7 | 2007 | 67 | |
| 8 | 2017 | 61 | |
| 9 | 2007 | 59 | |
| 10 | 1984 | 59 | |
| 11 | Management of Staphylococcus aureus infections. | 2005 | 51 |
| 12 | 2008 | 50 | |
| 13 | 2009 | 50 | |
| 14 | 2012 | 44 | |
| 15 | 2008 | 40 | |
| 16 | 2005 | 36 | |
| 17 | 2009 | 35 | |
| 18 | 2004 | 30 | |
| 19 | 1993 | 30 | |
| 20 | 2010 | 27 |
About Sarah Boyd
Sarah Boyd is a scholar working on Molecular Biology, Immunology, Epidemiology, Infectious Diseases and Microbiology, having authored 60 papers that have together received 1.5k indexed citations. Recurring topics across this work include Reproductive tract infections research (7 papers), Syphilis Diagnosis and Treatment (5 papers), Peptidase Inhibition and Analysis (5 papers), Machine Learning in Bioinformatics (5 papers), Biochemical and Structural Characterization (4 papers), Bacterial Identification and Susceptibility Testing (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers) and Signaling Pathways in Disease (3 papers). The work is most often cited by research in Immunology and Allergy (83 citations), Applied Microbiology and Biotechnology (25 citations), Human-Computer Interaction (54 citations), Molecular Biology (659 citations) and Cancer Research (139 citations). Sarah Boyd has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Robert N. Pike, Hieu T. Nim, James C. Whisstock, Nadia Rosenthal, Milena B. Furtado, María García de la Banda, David M. Bamberger, George B. Rudy, Hong‐Bin Shen and Tatsuya Akutsu. Their work appears in journals such as Ophthalmic Epidemiology, Journal of Biological Chemistry, PLoS ONE, Biological Chemistry and Bioinformatics.
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.