Geoff Higgins
Impact in
- Epidemiology top 5%
- Influenza Virus Research Studies
- Respiratory viral infections research
- Cervical Cancer and HPV Research
- Herpesvirus Infections and Treatments
- Microscopic Colitis
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology
- Clostridium difficile and Clostridium perfringens research
Papers in
- Epidemiology 13
- Influenza Virus Research Studies 6
- Respiratory viral infections research 5
- Cervical Cancer and HPV Research 2
- Nonmelanoma Skin Cancer Studies 2
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- Viral gastroenteritis research and epidemiology 4
- SARS-CoV-2 detection and testing 2
- SARS-CoV-2 and COVID-19 Research 2
- Co-authors
- Tuckweng Kok (5 shared papers)Ola Forslund (2 shared papers)Julie Burrows (2 shared papers)Andreas Nitsche (1 shared paper)David Gordon (1 shared paper)Justin T. LaBrooy (1 shared paper)Peter Ward (1 shared paper)Graeme P. Young (1 shared paper)
In The Last Decade
Geoff Higgins
18 papers receiving 684 citations
Peers
Comparison fields: 5 of 72
- Epidemiology 460
- Infectious Diseases 214
- Microbiology 45
- Agronomy and Crop Science 53
- Modeling and Simulation 18
Countries citing papers authored by Geoff Higgins
This map shows the geographic impact of Geoff Higgins'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 Geoff Higgins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geoff Higgins more than expected).
Fields of papers citing papers by Geoff Higgins
This network shows the impact of papers produced by Geoff Higgins. 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 Geoff Higgins. The network helps show where Geoff Higgins may publish in the future.
Co-authors
The 25 scholars most cited alongside Geoff Higgins, 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 | 1985 | 116 | |
| 2 | 2002 | 90 | |
| 3 | 2017 | 80 | |
| 4 | 2003 | 76 | |
| 5 | 2004 | 72 | |
| 6 | 2010 | 37 | |
| 7 | 2017 | 36 | |
| 8 | 2000 | 35 | |
| 9 | 2003 | 33 | |
| 10 | 2007 | 31 | |
| 11 | 2019 | 25 | |
| 12 | 2014 | 23 | |
| 13 | 2009 | 14 | |
| 14 | 2002 | 12 | |
| 15 | 2023 | 9 | |
| 16 | 2021 | 8 | |
| 17 | 2020 | 6 | |
| 18 | 2010 | 1 |
About Geoff Higgins
Geoff Higgins is a scholar working on Epidemiology, Infectious Diseases, Endocrinology, Dermatology and Oncology, having authored 18 papers that have together received 704 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (6 papers), Respiratory viral infections research (5 papers), Viral gastroenteritis research and epidemiology (4 papers), SARS-CoV-2 detection and testing (2 papers), Cervical Cancer and HPV Research (2 papers), Nonmelanoma Skin Cancer Studies (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Plant and Fungal Interactions Research (1 paper). The work is most often cited by research in Epidemiology (460 citations), Infectious Diseases (214 citations), Microbiology (45 citations), Agronomy and Crop Science (53 citations) and Modeling and Simulation (18 citations). Geoff Higgins has collaborated with scholars based in Australia, Sweden and Hong Kong. Frequent co-authors include Tuckweng Kok, Ola Forslund, Julie Burrows, Andreas Nitsche, David Gordon, Justin T. LaBrooy, Peter Ward, Graeme P. Young, Robert Hecker and Malcolm McDonald. Their work appears in journals such as Eurosurveillance, BMC Microbiology, The Medical Journal of Australia, PLoS ONE and Biosensors.
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.