Ian Johnson

839 citations
21 papers · 577 · h-index 13

Impact in

Papers in

    • Data-Driven Disease Surveillance 4
    • Hepatitis B Virus Studies 1
    • Vaccine Coverage and Hesitancy 4

Ian Johnson

21 papers receiving 540 citations

Peers

Ian Johnson
Comparison fields: 5 of 108
  • Molecular Medicine 86
  • Health 99
  • Applied Microbiology and Biotechnology 15
  • Modeling and Simulation 23
  • Endocrinology 21
Replace Mohammed Dauda Goni with:
Mohammed Dauda Goni Malaysia
Shuyan Gu China
Shweta Singh Singapore
Abu Syed Md. Mosaddek Bangladesh
Kasim Allel United Kingdom
Chinwe Juliana Iwu South Africa
Joseph Kazibwe United Kingdom
PrateekSaurabh Shrivastava India
Fatimah Alshahrani Saudi Arabia
Amin A. Aqel Jordan
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Citations per field
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Mohammed Dauda Goni · 1×
Citations per year

Countries citing papers authored by Ian Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Ian Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ian Johnson, 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 Ian Johnson Line = papers co-authored together Ian Johnson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002165
2 199393
3 201155
4 201834
5 201833
6 200729
7 200125
8 201125
9 199219
10 201719
11 201114
12 201214
13 199813
14 201011
15 20199
16 19926
17
Sex differences in first-year students at Canadian medical schools.
20045
18 19963
19 20172
20
Core Competencies for Public Health Epidemiologists in Ontario
20052

About Ian Johnson

Ian Johnson is a scholar working on Epidemiology, Health, Sociology and Political Science, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 21 papers that have together received 577 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (4 papers), Data-Driven Disease Surveillance (4 papers), Diversity and Career in Medicine (2 papers), Antibiotic Resistance in Bacteria (2 papers), Palliative Care and End-of-Life Issues (2 papers), COVID-19 epidemiological studies (1 paper), Hepatitis B Virus Studies (1 paper) and Global Health Workforce Issues (1 paper). The work is most often cited by research in Molecular Medicine (86 citations), Health (99 citations), Applied Microbiology and Biotechnology (15 citations), Modeling and Simulation (23 citations) and Endocrinology (21 citations). Ian Johnson has collaborated with scholars based in Canada, India and United Kingdom. Frequent co-authors include David Field, Michael Hunter, Jac C.H.M. Wijkmans, John M. Clements, Shilpa Palan, Andrew S. Waller, Natasha S. Crowcroft, Dionne Gesink, Jordan Tustin and Jennifer Keelan. Their work appears in journals such as JMIR Public Health and Surveillance, BMC Public Health, Epidemiology and Infection, Canadian Journal of Public Health and Medical Education.

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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