Tom T. Shimabukuro

11.5k citations
92 papers · 4.8k indexed · 7 hit papers · h-index 37

Tom T. Shimabukuro

91 papers receiving 4.6k citations

Hit Papers

Safety of mRNA vaccines admini...1162015202620182022100200300400

Peers

Tom T. Shimabukuro
Comparison fields: 5 of 139
  • Health 1.6k
  • Infectious Diseases 2.5k
  • Toxicology 177
  • Modeling and Simulation 209
  • Obstetrics and Gynecology 338
Replace Nicola P. Klein with:
Nicola P. Klein United States
John R. Su United States
Allison L. Naleway United States
Julianne Gee United States
Jason M. Glanz United States
Anders Hviid Denmark
Karen R. Broder United States
Matthew F. Daley United States
Claudia Vellozzi United States
Julia Stowe United Kingdom
Tom T. Shimabukuro relative to Nicola P. Klein United States Nicola P. Klein's profile →
Citations per field
00.5×1.5×
Nicola P. Klein · 1×
Citations per year

Countries citing papers authored by Tom T. Shimabukuro

Since Specialization
Citations

This map shows the geographic impact of Tom T. Shimabukuro'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 Tom T. Shimabukuro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom T. Shimabukuro more than expected).

Fields of papers citing papers by Tom T. Shimabukuro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom T. Shimabukuro. 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 Tom T. Shimabukuro. The network helps show where Tom T. Shimabukuro may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20243
3 202311
4 202323
5 20232
6 202341
7 20222
8 20217
9 202110
10 202152
11
Vaccine Adverse Event Reporting System
20200
12 201937
13 201911
14 201851
15 20159
16 201527
17 201416
18 2008117
19 20072
20 2007127

About Tom T. Shimabukuro

Tom T. Shimabukuro is a scholar working on Health, Toxicology and Infectious Diseases, having authored 92 papers that have together received 4.8k indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (49 papers), SARS-CoV-2 and COVID-19 Research (41 papers), Influenza Virus Research Studies (24 papers), Pharmacovigilance and Adverse Drug Reactions (15 papers), Viral Infections and Immunology Research (13 papers), Heparin-Induced Thrombocytopenia and Thrombosis (12 papers), Intramuscular injections and effects (12 papers) and Drug-Induced Adverse Reactions (8 papers). The work is most often cited by research in Health (1.6k citations), Infectious Diseases (2.5k citations) and Toxicology (177 citations). Tom T. Shimabukuro has collaborated with scholars based in United States, Uganda and Switzerland. Frequent co-authors include John R. Su, Frank DeStefano, Narayan Nair, David K. Shay, Julianne Gee, Paige Marquez, Tanya R. Myers, David Martin, Michael Nguyen and Matt Cole. Their work appears in journals such as JAMA, PEDIATRICS 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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