Kelsey Young

659 citations
16 papers · 441 · h-index 9

Impact in

    • Artificial Intelligence in Healthcare and Education
  • Health top 10%
    • Vaccine Coverage and Hesitancy

Papers in

    • Influenza Virus Research Studies 6
    • Hepatitis B Virus Studies 1
    • Respiratory viral infections research 1
    • Vaccine Coverage and Hesitancy 3

Kelsey Young

14 papers receiving 434 citations

Peers

Kelsey Young
Comparison fields: 5 of 106
  • Health Informatics 27
  • Health 54
  • Statistics, Probability and Uncertainty 30
  • Health Information Management 14
  • Epidemiology 76
Replace David Fraile Navarro with:
David Fraile Navarro Australia
Pietro Refolo Italy
Riddhi Doshi United States
Ritu Thamman United States
Maria Popp Germany
Leah Boulos Canada
Nathaniel Erskine United States
Elizabeth R. Stevens United States
Katharine Cooper‐Arnold United States
Waldemar Siemens Germany
Kelsey Young relative to David Fraile Navarro Australia David Fraile Navarro's profile →
Citations per field
00.5×
David Fraile Navarro · 1×
Citations per year

Countries citing papers authored by Kelsey Young

Since Specialization
Citations

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

Fields of papers citing papers by Kelsey Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2019188
2 202083
3 202044
4 202131
5 202031
6 202316
7 202015
8 202110
9 20219
10 20228
11 20232
12 20192
13 20211
14 20231
15 20240
16 20250

About Kelsey Young

Kelsey Young is a scholar working on Epidemiology, Health, Infectious Diseases, Surgery and Pathology and Forensic Medicine, having authored 16 papers that have together received 441 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (6 papers), Vaccine Coverage and Hesitancy (3 papers), Health Policy Implementation Science (1 paper), Hepatitis B Virus Studies (1 paper), Machine Learning in Healthcare (1 paper), Meta-analysis and systematic reviews (1 paper), Medical Imaging and Analysis (1 paper) and Respiratory viral infections research (1 paper). The work is most often cited by research in Health Informatics (27 citations), Health (54 citations), Statistics, Probability and Uncertainty (30 citations), Health Information Management (14 citations) and Epidemiology (76 citations). Kelsey Young has collaborated with scholars based in Canada, United States and Mongolia. Frequent co-authors include Matthew Tunis, Linlu Zhao, Kelly Farrah, O Baclic, Shainoor J. Ismail, Caroline Quach, Ian Gemmill, Tara MacGregor, Han Jo Kim and Michelle Gates. Their work appears in journals such as Canada Communicable Disease Report, Vaccine, Systematic Reviews, Vaccine X and The Spine Journal.

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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