Ola Caster

25 papers receiving 804 citations

Peers

Ola Caster
Comparison fields: 5 of 123
  • Toxicology 451
  • Statistics and Probability 103
  • Geriatrics and Gerontology 42
  • Computational Theory and Mathematics 159
  • Pharmacology 75
Replace Frantz Thiessard with:
Frantz Thiessard France
Elliot G. Brown United Kingdom
Sue Wood United States
Kristina Juhlin Sweden
Vaishali Patadia United States
Susan T. Sacks United States
Stella G. Machado United States
Louisa Walsh Australia
Gianmario Candore Netherlands
Charles M. Gerrits United States
Ola Caster relative to Frantz Thiessard France Frantz Thiessard's profile →
Citations per field
00.5×2.6×
Frantz Thiessard · 1×
Citations per year

Countries citing papers authored by Ola Caster

Since Specialization
Citations

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

Fields of papers citing papers by Ola Caster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019161
2 2020116
3 201482
4 201670
5 200761
6 201959
7 201049
8 201843
9 201431
10 201128
11 201324
12 201724
13 201822
14 201813
15 201511
16 20158
17 20128
18 20116
19
Large-Scale Regression-Based Pattern Discovery in International Adverse Drug Reaction Surveillance
20085
20
Mining the WHO Drug Safety Database Using Lasso Logistic Regression
20074

About Ola Caster

Ola Caster is a scholar working on Toxicology, Computational Theory and Mathematics, Statistics and Probability, Pharmacology and Pediatrics, Perinatology and Child Health, having authored 26 papers that have together received 832 indexed citations. Recurring topics across this work include Pharmacovigilance and Adverse Drug Reactions (16 papers), Computational Drug Discovery Methods (9 papers), Drug-Induced Adverse Reactions (6 papers), Statistical Methods in Clinical Trials (6 papers), Pharmaceutical studies and practices (5 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Imbalanced Data Classification Techniques (2 papers) and Statistical Methods and Inference (2 papers). The work is most often cited by research in Toxicology (451 citations), Statistics and Probability (103 citations), Geriatrics and Gerontology (42 citations), Computational Theory and Mathematics (159 citations) and Pharmacology (75 citations). Ola Caster has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include G. Niklas Norén, Sarah Watson, Kristina Juhlin, Hester M. den Ruijter, Paula A. Rochon, I. Ralph Edwards, Birgitta Grundmark, Lucie M. Gattepaille, Yasunori Aoki and Andrew Bate. Their work appears in journals such as Drug Safety, Pharmacoepidemiology and Drug Safety, Medical Decision Making, BMC Neurology and British Journal of Clinical Pharmacology.

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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