Isabel Oliver

4.6k citations
126 papers · 2.4k indexed · h-index 27

Impact in

Papers in

Isabel Oliver

123 papers receiving 2.4k citations

Peers

Isabel Oliver
Comparison fields: 5 of 163
  • Applied Microbiology and Biotechnology 179
  • Modeling and Simulation 234
  • Endocrinology 186
  • Infectious Diseases 613
  • Molecular Medicine 131
Replace Byung Chul Chun with:
Byung Chul Chun South Korea
Philippe Gautret France
Ahmed Hossain Bangladesh
Emily T. Martin United States
Luis Furuya‐Kanamori Australia
Susan S. Chiu Hong Kong
Matthew L. Boulton United States
Rahmet Güner Türkiye
Qanta A. Ahmed United States
Charles Beck United Kingdom
Isabel Oliver relative to Byung Chul Chun South Korea Byung Chul Chun's profile →
Citations per field
00.5×3.0×
Byung Chul Chun · 1×
Citations per year

Countries citing papers authored by Isabel Oliver

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Isabel Oliver Line = papers co-authored together Isabel Oliver links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 202311
4 20239
5 20231
6 202314
7 202323
8 202214
9 20223
10 202210
11 20221
12 202142
13 202112
14 20213
15 20215
16 20218
17 202052
18 201911
19
Help-seeking behaviour in men and women with common mental health problems: a cross-sectional study
20058
20
The Development of Competency Standards for Mental Health Social Workers - Final Report
19991

About Isabel Oliver

Isabel Oliver is a scholar working on Applied Microbiology and Biotechnology, Modeling and Simulation, Infectious Diseases, Emergency Medical Services and Endocrinology, having authored 126 papers that have together received 2.4k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (24 papers), Antibiotic Use and Resistance (15 papers), Disaster Response and Management (12 papers), COVID-19 and Mental Health (10 papers), SARS-CoV-2 and COVID-19 Research (10 papers), SARS-CoV-2 detection and testing (9 papers), Adolescent Sexual and Reproductive Health (8 papers) and Viral gastroenteritis research and epidemiology (8 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (179 citations), Modeling and Simulation (234 citations), Endocrinology (186 citations), Infectious Diseases (613 citations) and Molecular Medicine (131 citations). Isabel Oliver has collaborated with scholars based in United Kingdom, Sweden and United States. Frequent co-authors include G. James Rubin, Richard Amlôt, Shunji Ohsako, Jennifer Hyer, Grace Panganiban, Michael Caudy, Lucy Yardley, Charles Beck, Ben Armstrong and Maya Gobin. Their work appears in journals such as BMC Public Health, BMJ Open, Eurosurveillance, Epidemiology and Infection 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.

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