Todd Bear

45 papers receiving 1.1k citations

Todd Bear's Hit Papers

Effects of Influenza Vaccination in the United States During the 2017–2018 Influenza Season 2019 · 249 citations
2490+2+4Years since publication50100150200

Peers

Todd Bear
Comparison fields: 5 of 122
  • Epidemiology 423
  • Modeling and Simulation 55
  • Applied Psychology 41
  • Health 66
  • Infectious Diseases 118
Replace Annie Wai-Ling Cheung with:
Annie Wai-Ling Cheung Hong Kong
Tony Kirby
Eleni Linos United States
Sandro Provenzano Italy
Omar Enzo Santangelo Italy
Elena Bozzola Italy
Caleb E. LoSchiavo United States
Basmattee Boodram United States
Ovidiu Tatar Canada
Chalanda N. Evans United States
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Citations per year

Countries citing papers authored by Todd Bear

Since Specialization
Citations

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

Fields of papers citing papers by Todd Bear

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Effects of Influenza Vaccination in the United States During the 2017–2018 Influenza Season
Hit paper breakdown →
2019249
2 2018107
3 202094
4 202093
5 201468
6 202058
7 202157
8 201950
9 201934
10 201730
11 202129
12 202026
13 202026
14 201822
15 201512
16 201912
17 202310
18 201910
19 20149
20
Childhood adversity: A social determinant of health and inequity over the lifespan and across generations
20148

About Todd Bear

Todd Bear is a scholar working on Health, Clinical Psychology, Public Health, Environmental and Occupational Health, Epidemiology and Physical Therapy, Sports Therapy and Rehabilitation, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (5 papers), Infection Control and Ventilation (3 papers), Homelessness and Social Issues (3 papers), Global Cancer Incidence and Screening (3 papers), Suicide and Self-Harm Studies (3 papers), Amyotrophic Lateral Sclerosis Research (3 papers), Health disparities and outcomes (3 papers) and COVID-19 and Mental Health (3 papers). The work is most often cited by research in Epidemiology (423 citations), Modeling and Simulation (55 citations), Applied Psychology (41 citations), Health (66 citations) and Infectious Diseases (118 citations). Todd Bear has collaborated with scholars based in United States, Israel and South Africa. Frequent co-authors include Craig Jeffrey Robb Sewall, Daniel Rosen, John A. Merranko, Jeanette M. Trauth, Patricia Isabel Documet, Edmund M. Ricci, Christina Mair, Jason D. Flatt, David A. Brent and Candice L. Biernesser. Their work appears in journals such as Clinical Infectious Diseases, Emerging infectious diseases, Journal of Environmental and Public Health, Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration and Innovation in Aging.

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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