Suzie Seabroke

576 citations
12 papers · 418 indexed · h-index 8

Suzie Seabroke

10 papers receiving 407 citations

Peers

Suzie Seabroke
Comparison fields: 5 of 76
  • Toxicology 216
  • Microbiology 45
  • Statistics and Probability 43
  • Computational Theory and Mathematics 82
  • Pharmacology 67
Replace Ana Alvarez-Requejo with:
Ana Alvarez-Requejo Spain
Lionel Van Holle Belgium
Kristina Juhlin Sweden
Hélène Théophile France
Georgy Genov Netherlands
Alexandra Păcurariu Netherlands
Stephen A. Goldman United States
Cecilia Biriell Sweden
Boris Kerzner United States
Ana Hidalgo‐Simon Netherlands
Suzie Seabroke relative to Ana Alvarez-Requejo Spain Ana Alvarez-Requejo's profile →
Citations per field
00.5×4.2×
Ana Alvarez-Requejo · 1×
Citations per year

Countries citing papers authored by Suzie Seabroke

Since Specialization
Citations

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

Fields of papers citing papers by Suzie Seabroke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

12 of 12 papers shown
#Work
1 20240
2 20243
3 20232
4 201846
5 2016106
6 201643
7 2015106
8
Impact of Subgroup Analyses and Adjustment by Stratification on Safety Signal Detection for Individual Case Reports
20140
9 201314
10 201351
11 201127
12 201120

About Suzie Seabroke

Suzie Seabroke is a scholar working on Toxicology, Microbiology, Radiological and Ultrasound Technology, Epidemiology and Statistics and Probability, having authored 12 papers that have together received 418 indexed citations. Recurring topics across this work include Pharmacovigilance and Adverse Drug Reactions (4 papers), Respiratory viral infections research (3 papers), Pneumonia and Respiratory Infections (3 papers), Influenza Virus Research Studies (2 papers), Drug-Induced Adverse Reactions (2 papers), Bacterial Infections and Vaccines (2 papers), Tracheal and airway disorders (2 papers) and Occupational Health and Safety Research (1 paper). The work is most often cited by research in Toxicology (216 citations), Microbiology (45 citations), Statistics and Probability (43 citations), Computational Theory and Mathematics (82 citations) and Pharmacology (67 citations). Suzie Seabroke has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include Jim Slattery, A Wisniewski, Kristina Juhlin, Gianmario Candore, Katrin Manlik, Bharat Thakrar, Katherine Donegan, G. Niklas Norén, Phil Tregunno and Andreas Brueckner. Their work appears in journals such as Vaccine, Drug Safety, The Lancet Child & Adolescent Health, Pharmacoepidemiology and Drug Safety and Value in Health.

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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