Isabel Oliver
Impact in
-
- Antibiotic Use and Resistance
- Endocrinology top 2%
Papers in
-
- Viral gastroenteritis research and epidemiology 8
- SARS-CoV-2 and COVID-19 Research 5
- Epidemiology 18
- Influenza Virus Research Studies 6
- Co-authors
- G. James Rubin (24 shared papers)Richard Amlôt (22 shared papers)Lucy Yardley (19 shared papers)Shunji Ohsako (1 shared paper)Grace Panganiban (1 shared paper)Michael Caudy (1 shared paper)Jennifer Hyer (1 shared paper)Charles Beck (10 shared papers)
- Journals
- BMC Public Health (14 papers)BMJ Open (9 papers)Epidemiology and Infection (8 papers)Eurosurveillance (8 papers)Public Health (6 papers)
- Partner nations
- United KingdomSwedenUnited States
In The Last Decade
Isabel Oliver
122 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 164
- Applied Microbiology and Biotechnology 171
- Endocrinology 178
- Modeling and Simulation 131
- Infectious Diseases 475
- Molecular Medicine 123
Countries citing papers authored by Isabel Oliver
This map shows the geographic impact of Isabel Oliver'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 Isabel Oliver with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isabel Oliver more than expected).
Fields of papers citing papers by Isabel Oliver
This network shows the impact of papers produced by Isabel Oliver. 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 Isabel Oliver. The network helps show where Isabel Oliver may publish in the future.
Co-authors
The 25 scholars most cited alongside Isabel Oliver, 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 130 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 226 | |
| 2 | 2020 | 154 | |
| 3 | 2015 | 124 | |
| 4 | 2017 | 117 | |
| 5 | 2017 | 98 | |
| 6 | 2016 | 72 | |
| 7 | 2016 | 65 | |
| 8 | 2010 | 57 | |
| 9 | 2018 | 56 | |
| 10 | 2005 | 54 | |
| 11 | 2020 | 53 | |
| 12 | 2019 | 52 | |
| 13 | 2012 | 51 | |
| 14 | 2020 | 51 | |
| 15 | 2018 | 45 | |
| 16 | 2020 | 44 | |
| 17 | 2021 | 43 | |
| 18 | 2009 | 36 | |
| 19 | 2019 | 36 | |
| 20 | 2022 | 34 |
About Isabel Oliver
Isabel Oliver is a scholar working on Infectious Diseases, Epidemiology, Applied Microbiology and Biotechnology, Modeling and Simulation and Public Health, Environmental and Occupational Health, having authored 130 papers that have together received 2.6k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (12 papers), Antibiotic Use and Resistance (12 papers), Viral gastroenteritis research and epidemiology (8 papers), Reproductive tract infections research (7 papers), Influenza Virus Research Studies (6 papers), Animal Disease Management and Epidemiology (6 papers), Escherichia coli research studies (5 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (171 citations), Endocrinology (178 citations), Modeling and Simulation (131 citations), Infectious Diseases (475 citations) and Molecular Medicine (123 citations). Isabel Oliver has collaborated with scholars based in United Kingdom, Sweden and United States. Frequent co-authors include G. James Rubin, Richard Amlôt, Lucy Yardley, Shunji Ohsako, Grace Panganiban, Michael Caudy, Jennifer Hyer, Charles Beck, Ben Armstrong and Maya Gobin. Their work appears in journals such as BMC Public Health, BMJ Open, Epidemiology and Infection, Eurosurveillance and Public Health.
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.