Jacqui Wise

5.1k citations
603 papers · 3.1k · 3 hit papers · h-index 22

Impact in

Papers in

Jacqui Wise

510 papers receiving 2.9k citations

Jacqui Wise's Hit Papers

Covid-19: WHO declares end of global health emergency 2023 · 123 citations
1230+2+4Years since publication50100150200

Peers

Jacqui Wise
Comparison fields: 5 of 175
  • Infectious Diseases 921
  • Modeling and Simulation 241
  • Health 322
  • General Health Professions 343
  • Neurology 169
Replace Eliana Ferroni with:
Eliana Ferroni Italy
Ingrid Torjesen Greenland
Mina Tadrous Canada
Colin R Simpson United Kingdom
Saleh A. Alqahtani United States
Kun Tang China
Máirín Ryan Ireland
Eric A. Coomes Canada
Virginia B. Bowen United States
Nazrul Islam United Kingdom
Jacqui Wise relative to Eliana Ferroni Italy Eliana Ferroni's profile →
Citations per field
00.5×1.5×2.2×
Eliana Ferroni · 1×
Citations per year

Countries citing papers authored by Jacqui Wise

Since Specialization
Citations

This map shows the geographic impact of Jacqui Wise'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 Jacqui Wise with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacqui Wise more than expected).

Fields of papers citing papers by Jacqui Wise

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacqui Wise. 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 Jacqui Wise. The network helps show where Jacqui Wise may publish in the future.

Co-authors

The 1 scholars most cited alongside Jacqui Wise, 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 Jacqui Wise Line = papers co-authored together Jacqui Wise links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 603 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Covid-19: New coronavirus variant is identified in UK
Hit paper breakdown →
2020235
2
Covid-19: European countries suspend use of Oxford-AstraZeneca vaccine after reports of blood clots
Hit paper breakdown →
2021234
3 2021128
4
Covid-19: WHO declares end of global health emergency
Hit paper breakdown →
2023123
5 202073
6 202046
7 202044
8 202142
9 202041
10 202135
11 202134
12 202033
13 202132
14 202131
15 202127
16 202127
17 201826
18 202126
19 202025
20 201824

About Jacqui Wise

Jacqui Wise is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health, Infectious Diseases, Oncology and Economics and Econometrics, having authored 603 papers that have together received 3.1k indexed citations. Recurring topics across this work include Healthcare Systems and Challenges (160 papers), Health Services Management and Policy (90 papers), Child and Adolescent Health (50 papers), Primary Care and Health Outcomes (34 papers), COVID-19 and healthcare impacts (29 papers), COVID-19 Clinical Research Studies (28 papers), Global Public Health Policies and Epidemiology (28 papers) and Healthcare cost, quality, practices (24 papers). The work is most often cited by research in Infectious Diseases (921 citations), Modeling and Simulation (241 citations), Health (322 citations), General Health Professions (343 citations) and Neurology (169 citations). Frequent co-authors include Rebecca Coombes. Their work appears in journals such as BMJ, The Lancet Infectious Diseases, Bulletin of the World Health Organization, Europe PMC (PubMed Central) and BMJ.

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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