Philip M. Giffard
- Clinical Biochemistry top 0.5%
- Bacterial Identification and Susceptibility Testing 29
- Infectious Diseases top 1%
- Antimicrobial Resistance in Staphylococcus 44
- Microbiology top 1%
- Reproductive tract infections research 12
- Biotechnology top 1%
- Molecular Medicine top 2%
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- Streptococcal Infections and Treatments 25
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- Bacteriophages and microbial interactions 17
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- Probiotics and Fermented Foods 13
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- Bacterial biofilms and quorum sensing 12
- RNA and protein synthesis mechanisms 9
- Co-authors
- Steven Y. C. TongFlavia HuygensMark S. TurnerDeborah C. HoltPeter TimmsBart J. CurrieLouise M. HafnerAlex J. Stephens
- Journals
- Nature Communications (2 papers)SHILAP Revista de lepidopterología (2 papers)PLoS ONE (8 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Philip M. Giffard
108 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 131
- Clinical Biochemistry 759
- Infectious Diseases 1.4k
- Microbiology 429
- Biotechnology 433
- Molecular Medicine 227
Countries citing papers authored by Philip M. Giffard
This map shows the geographic impact of Philip M. Giffard'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 Philip M. Giffard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip M. Giffard more than expected).
Fields of papers citing papers by Philip M. Giffard
This network shows the impact of papers produced by Philip M. Giffard. 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 Philip M. Giffard. The network helps show where Philip M. Giffard may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Philip M. Giffard, 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 | Staphylococcus aureus and Streptococcus pyogenes in the north: distinctively different | 2022 | 0 |
| 2 | 2022 | 1 | |
| 3 | 2021 | 3 | |
| 4 | 2019 | 2 | |
| 5 | 2016 | 37 | |
| 6 | 2016 | 16 | |
| 7 | 2016 | 33 | |
| 8 | 2015 | 8 | |
| 9 | 2013 | 18 | |
| 10 | 2013 | 52 | |
| 11 | 2013 | 9 | |
| 12 | 2013 | 19 | |
| 13 | 2010 | 2 | |
| 14 | 2009 | 8 | |
| 15 | 2009 | 22 | |
| 16 | 2007 | 20 | |
| 17 | 2006 | 106 | |
| 18 | 1999 | 116 | |
| 19 | 1993 | 8 | |
| 20 | 1988 | 52 |
About Philip M. Giffard
Philip M. Giffard is a scholar working on Clinical Biochemistry, Infectious Diseases and Microbiology, having authored 110 papers that have together received 3.5k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (44 papers), Bacterial Identification and Susceptibility Testing (29 papers), Streptococcal Infections and Treatments (25 papers), Bacteriophages and microbial interactions (17 papers), Probiotics and Fermented Foods (13 papers), Reproductive tract infections research (12 papers), Bacterial biofilms and quorum sensing (12 papers) and RNA and protein synthesis mechanisms (9 papers). The work is most often cited by research in Clinical Biochemistry (759 citations), Infectious Diseases (1.4k citations) and Microbiology (429 citations). Philip M. Giffard has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Steven Y. C. Tong, Flavia Huygens, Mark S. Turner, Deborah C. Holt, Peter Timms, Bart J. Currie, Louise M. Hafner, Alex J. Stephens, Rachael A. Lilliebridge and Erin P. Price. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.
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.