Tanya R. Myers

48 papers receiving 1.9k citations

Tanya R. Myers's Hit Papers

Safety of mRNA vaccines administered during the initial 6 months of the US COVID-19 vaccination programme: an observational study of reports to the Vaccine Adverse Event Reporting System and v-safe 2022 · 116 citations
1160+1+3Years since publication50100150200250

Peers

Tanya R. Myers
Comparison fields: 5 of 134
  • Health 678
  • Infectious Diseases 1.2k
  • Obstetrics and Gynecology 284
  • Modeling and Simulation 114
  • Neurology 201
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Countries citing papers authored by Tanya R. Myers

Since Specialization
Citations

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

Fields of papers citing papers by Tanya R. Myers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tanya R. Myers. 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 Tanya R. Myers. The network helps show where Tanya R. Myers may publish in the future.

Co-authors

The 25 scholars most cited alongside Tanya R. Myers, 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 Tanya R. Myers Line = papers co-authored together Tanya R. Myers 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
First Month of COVID-19 Vaccine Safety Monitoring — United States, December 14, 2020–January 13, 2021
Hit paper breakdown →
2021275
2
Reactogenicity Following Receipt of mRNA-Based COVID-19 Vaccines
Hit paper breakdown →
2021229
3 2021120
4 2021119
5
Safety of mRNA vaccines administered during the initial 6 months of the US COVID-19 vaccination programme: an observational study of reports to the Vaccine Adverse Event Reporting System and v-safe
Hit paper breakdown →
2022116
6 2021111
7 2020107
8 202298
9 199666
10 201264
11 202261
12 202157
13 202250
14 202341
15 202240
16 202238
17 202234
18 202227
19 202323
20 201323

About Tanya R. Myers

Tanya R. Myers is a scholar working on Infectious Diseases, Health, Cardiology and Cardiovascular Medicine, Epidemiology and Neurology, having authored 48 papers that have together received 2.0k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (26 papers), Vaccine Coverage and Hesitancy (22 papers), Viral Infections and Immunology Research (8 papers), Peripheral Neuropathies and Disorders (7 papers), COVID-19 Impact on Reproduction (5 papers), Bacterial Infections and Vaccines (5 papers), Pharmaceutical studies and practices (3 papers) and Respiratory viral infections research (3 papers). The work is most often cited by research in Health (678 citations), Infectious Diseases (1.2k citations), Obstetrics and Gynecology (284 citations), Modeling and Simulation (114 citations) and Neurology (201 citations). Tanya R. Myers has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Julianne Gee, Paige Marquez, Tom T. Shimabukuro, John R. Su, David K. Shay, Johanna Chapin-Bardales, Anne M. Hause, Bicheng Zhang, James Baggs and Deborah Thompson. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report, Vaccine, JAMA Network Open, Human Vaccines & Immunotherapeutics and Emerging 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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