Neville Firth
- Molecular Medicine top 0.1%
- Antibiotic Resistance in Bacteria 8
- Endocrinology top 1%
- Infectious Diseases top 1%
- Antimicrobial Resistance in Staphylococcus 40
- Clinical Biochemistry top 1%
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- Bacterial Genetics and Biotechnology 34
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- RNA and protein synthesis mechanisms 19
- Bacterial biofilms and quorum sensing 17
- Genomics and Phylogenetic Studies 5
- Biochemical and Structural Characterization 5
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- Bacteriophages and microbial interactions 13
- Co-authors
- Stephen M. KwongSlade O. JensenSally R. PartridgeRonald A. SkurrayJoshua P. RamsayAmornrut LeelapornAnthony J. BrzoskaTracey Berg
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (2 papers)Journal of the American Chemical Society (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Neville Firth
60 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Molecular Medicine 1.5k
- Endocrinology 484
- Infectious Diseases 1.2k
- Applied Microbiology and Biotechnology 120
- Clinical Biochemistry 389
Countries citing papers authored by Neville Firth
This map shows the geographic impact of Neville Firth'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 Neville Firth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neville Firth more than expected).
Fields of papers citing papers by Neville Firth
This network shows the impact of papers produced by Neville Firth. 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 Neville Firth. The network helps show where Neville Firth may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Neville Firth, 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 | 16 | |
| 2 | 2017 | 91 | |
| 3 | 2016 | 82 | |
| 4 | 2016 | 3 | |
| 5 | 2015 | 6 | |
| 6 | 2013 | 211 | |
| 7 | 2013 | 40 | |
| 8 | Teaching bioinformatics: A student-centred and problem based approach | 2012 | 2 |
| 9 | 2010 | 33 | |
| 10 | 2010 | 39 | |
| 11 | 2009 | 19 | |
| 12 | 2009 | 58 | |
| 13 | 2008 | 13 | |
| 14 | 2007 | 8 | |
| 15 | 2007 | 80 | |
| 16 | 2002 | 36 | |
| 17 | 1998 | 7 | |
| 18 | 1997 | 34 | |
| 19 | 1997 | 9 | |
| 20 | 1995 | 41 |
About Neville Firth
Neville Firth is a scholar working on Infectious Diseases, Molecular Medicine and Genetics, having authored 60 papers that have together received 3.9k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (40 papers), Bacterial Genetics and Biotechnology (34 papers), RNA and protein synthesis mechanisms (19 papers), Bacterial biofilms and quorum sensing (17 papers), Bacteriophages and microbial interactions (13 papers), Antibiotic Resistance in Bacteria (8 papers), Genomics and Phylogenetic Studies (5 papers) and Biochemical and Structural Characterization (5 papers). The work is most often cited by research in Molecular Medicine (1.5k citations), Endocrinology (484 citations) and Infectious Diseases (1.2k citations). Neville Firth has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Stephen M. Kwong, Slade O. Jensen, Sally R. Partridge, Ronald A. Skurray, Joshua P. Ramsay, Amornrut Leelaporn, Anthony J. Brzoska, Tracey Berg, Melissa H. Brown and Anusha Hettiaratchi. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.