Marissa Bergh

862 citations
5 papers · 462 · 1 hit paper · h-index 4

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing
    • Viral gastroenteritis research and epidemiology
    • COVID-19 epidemiological studies

Papers in

Marissa Bergh

5 papers receiving 455 citations

Marissa Bergh's Hit Papers

Vaccine Breakthrough Infections with SARS-CoV-2 Variants 2021 · 444 citations
4440+1+3Years since publication100200300400

Peers

Marissa Bergh
Comparison fields: 5 of 64
  • Infectious Diseases 359
  • Modeling and Simulation 55
  • Health 76
  • Animal Science and Zoology 38
  • Neurology 21
Replace Gina S. Lee with:
Gina S. Lee United States
Justin DaSilva United States
Julia E. Tubert United States
Leo C. H. Tsang Hong Kong
Natthinee Sudhinaraset Thailand
Edwin C. Frias United States
Dennis Schaefer-Babajew United States
Regina Maruste Estonia
Yuka Jinnai Switzerland
Alejandra Barreto Ecuador
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Citations per field
00.5×10×20×30×40×47.3×
Gina S. Lee · 1×
Citations per year

Countries citing papers authored by Marissa Bergh

Since Specialization
Citations

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

Fields of papers citing papers by Marissa Bergh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

5 of 5 papers shown

About Marissa Bergh

Marissa Bergh is a scholar working on Health, General Health Professions, Demography, Infectious Diseases and Geriatrics and Gerontology, having authored 5 papers that have together received 462 indexed citations. Recurring topics across this work include Geriatric Care and Nursing Homes (2 papers), Migration, Aging, and Tourism Studies (2 papers), Health disparities and outcomes (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), COVID-19 Clinical Research Studies (1 paper), Vaccine Coverage and Hesitancy (1 paper) and Frailty in Older Adults (1 paper). The work is most often cited by research in Infectious Diseases (359 citations), Modeling and Simulation (55 citations), Health (76 citations), Animal Science and Zoology (38 citations) and Neurology (21 citations). Marissa Bergh has collaborated with scholars based in United States and Poland. Frequent co-authors include Erin G. Conlon, Robert B. Darnell, Ezgi Hacisuleyman, Paul D. Bieniasz, Nathalie E. Blachère, Dennis Schaefer-Babajew, Théodora Hatziioannou, Justin DaSilva, Caryn Hale and Michel C. Nussenzweig. Their work appears in journals such as Journal of the American Geriatrics Society, Innovation in Aging, New England Journal of Medicine, JMIR Formative Research and Public Policy & Aging Report.

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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