Caitlin Johnson

683 citations
22 papers · 445 · h-index 12

Impact in

  • Health top 10%
    • Vaccine Coverage and Hesitancy
  • Microbiology top 10%
    • Bacterial Infections and Vaccines

Papers in

    • Influenza Virus Research Studies 2
    • Traumatic Brain Injury Research 2
    • Virology and Viral Diseases 1
    • Bacterial Infections and Vaccines 4

Caitlin Johnson

22 papers receiving 425 citations

Peers

Caitlin Johnson
Comparison fields: 5 of 87
  • Health 70
  • Microbiology 44
  • Infectious Diseases 107
  • Epidemiology 144
  • Modeling and Simulation 16
Replace Geun‐Ryang Bae with:
Geun‐Ryang Bae South Korea
Thierry Van Effelterre Belgium
Martine Sabbe Belgium
Anne‐Sophie Barret France
Anneke Steens Norway
Zachary Rubin United States
Greg Hammond Canada
Karen Ka Yan Leung Hong Kong
P. Chaud France
Eda Tamm Estonia
Caitlin Johnson relative to Geun‐Ryang Bae South Korea Geun‐Ryang Bae's profile →
Citations per field
00.5×4.4×
Geun‐Ryang Bae · 1×
Citations per year

Countries citing papers authored by Caitlin Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Caitlin Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022107
2 200466
3 201153
4 201935
5 201125
6 201223
7 201621
8 201819
9 202216
10 201914
11 201911
12 201711
13 20179
14 20208
15 20237
16 20045
17 20195
18 20214
19 19963
20 20121

About Caitlin Johnson

Caitlin Johnson is a scholar working on Epidemiology, Microbiology, Health, Infectious Diseases and Social Psychology, having authored 22 papers that have together received 445 indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (4 papers), Vaccine Coverage and Hesitancy (3 papers), Influenza Virus Research Studies (2 papers), Traumatic Brain Injury Research (2 papers), Death Anxiety and Social Exclusion (1 paper), Demographic Trends and Gender Preferences (1 paper), Paranormal Experiences and Beliefs (1 paper) and Virology and Viral Diseases (1 paper). The work is most often cited by research in Health (70 citations), Microbiology (44 citations), Infectious Diseases (107 citations), Epidemiology (144 citations) and Modeling and Simulation (16 citations). Caitlin Johnson has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Sheila MacDonald, Jeffrey C. Kwong, Natasha S. Crowcroft, Sarah E. Wilson, Sarah A. Buchan, Sharifa Nasreen, Andrew Calzavara, Tara Harris, Shelley L. Deeks and Mark A. Minor. Their work appears in journals such as Vaccine, PLoS ONE, Circulation, Canadian Journal of Public Health and Clinical Infectious Diseases.

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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