Stephen Peter Kidd
Impact in
- Genetics top 5%
- Bacterial Genetics and Biotechnology
- Microbiology top 2%
- Bacterial Infections and Vaccines
Papers in
- Genetics 26
- Bacterial Genetics and Biotechnology 26
-
- Antimicrobial Resistance in Staphylococcus 15
- Co-authors
- Nigel L. Brown (4 shared papers)Jon L. Hobman (3 shared papers)Jivko V. Stoyanov (1 shared paper)Alastair G. McEwan (15 shared papers)Michael P. Jennings (14 shared papers)John Pemberton (3 shared papers)Alexandra Tikhomirova (12 shared papers)Radomir Schmidt (1 shared paper)
- Journals
- Antibiotics (5 papers)Infection and Immunity (4 papers)Molecular Microbiology (3 papers)The Journal of Infectious Diseases (3 papers)Pathogens and Disease (3 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Stephen Peter Kidd
83 papers receiving 2.7k citations
Stephen Peter Kidd's Hit Papers
Peers
Comparison fields: 5 of 108
- Genetics 745
- Microbiology 157
- Endocrinology 91
- Molecular Medicine 116
- Infectious Diseases 276
Countries citing papers authored by Stephen Peter Kidd
This map shows the geographic impact of Stephen Peter Kidd'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 Stephen Peter Kidd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Peter Kidd more than expected).
Fields of papers citing papers by Stephen Peter Kidd
This network shows the impact of papers produced by Stephen Peter Kidd. 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 Stephen Peter Kidd. The network helps show where Stephen Peter Kidd may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Peter Kidd, 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The MerR family of transcriptional regulators Hit paper breakdown → | 2003 | 633 |
| 2 | 2006 | 162 | |
| 3 | 2018 | 151 | |
| 4 | 2006 | 117 | |
| 5 | 2004 | 113 | |
| 6 | 2019 | 77 | |
| 7 | 2019 | 63 | |
| 8 | 2013 | 62 | |
| 9 | 2006 | 61 | |
| 10 | 2017 | 56 | |
| 11 | 2019 | 55 | |
| 12 | 2023 | 53 | |
| 13 | 2017 | 51 | |
| 14 | 2008 | 49 | |
| 15 | 2005 | 46 | |
| 16 | 2007 | 46 | |
| 17 | 2003 | 45 | |
| 18 | 2014 | 44 | |
| 19 | 2011 | 41 | |
| 20 | 2020 | 40 |
About Stephen Peter Kidd
Stephen Peter Kidd is a scholar working on Genetics, Infectious Diseases, Building and Construction, Molecular Biology and Microbiology, having authored 86 papers that have together received 2.8k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (26 papers), Antimicrobial Resistance in Staphylococcus (15 papers), Bacterial biofilms and quorum sensing (12 papers), Anaerobic Digestion and Biogas Production (8 papers), Redox biology and oxidative stress (8 papers), Orthopedic Infections and Treatments (5 papers), Pneumonia and Respiratory Infections (4 papers) and Antibiotic Resistance in Bacteria (4 papers). The work is most often cited by research in Genetics (745 citations), Microbiology (157 citations), Endocrinology (91 citations), Molecular Medicine (116 citations) and Infectious Diseases (276 citations). Stephen Peter Kidd has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Nigel L. Brown, Jon L. Hobman, Jivko V. Stoyanov, Alastair G. McEwan, Michael P. Jennings, John Pemberton, Alexandra Tikhomirova, Radomir Schmidt, Michael A. Apicella and Cristian H. Birzer. Their work appears in journals such as Antibiotics, Infection and Immunity, Molecular Microbiology, The Journal of Infectious Diseases and Pathogens and Disease.
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.