G. Niklas Norén

4.7k total citations · 1 hit paper
63 papers, 2.9k citations indexed

About

G. Niklas Norén is a scholar working on Toxicology, Computational Theory and Mathematics and Statistics and Probability. According to data from OpenAlex, G. Niklas Norén has authored 63 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Toxicology, 21 papers in Computational Theory and Mathematics and 14 papers in Statistics and Probability. Recurrent topics in G. Niklas Norén's work include Pharmacovigilance and Adverse Drug Reactions (47 papers), Computational Drug Discovery Methods (21 papers) and Statistical Methods in Clinical Trials (11 papers). G. Niklas Norén is often cited by papers focused on Pharmacovigilance and Adverse Drug Reactions (47 papers), Computational Drug Discovery Methods (21 papers) and Statistical Methods in Clinical Trials (11 papers). G. Niklas Norén collaborates with scholars based in Sweden, United Kingdom and United States. G. Niklas Norén's co-authors include Andrew Bate, I. Ralph Edwards, Johan Hopstadius, Ola Caster, Roland Orre, Kristina Juhlin, Kristina Star, Tomas Bergvall, Marie Lindquist and Patrick Ryan and has published in prestigious journals such as PLoS ONE, Statistics in Medicine and Journal of the American Medical Informatics Association.

In The Last Decade

G. Niklas Norén

61 papers receiving 2.8k citations

Hit Papers

Observational Health Data Sciences and Informatics (OHDSI... 2015 2026 2018 2022 2015 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
G. Niklas Norén Sweden 26 1.4k 580 418 405 375 63 2.9k
Johan van der Lei Netherlands 40 670 0.5× 253 0.4× 410 1.0× 862 2.1× 306 0.8× 174 6.5k
Rave Harpaz United States 21 1.1k 0.8× 884 1.5× 207 0.5× 725 1.8× 150 0.4× 34 2.0k
Abraham G. Hartzema United States 37 488 0.3× 189 0.3× 264 0.6× 339 0.8× 351 0.9× 113 4.4k
Preciosa M. Coloma Netherlands 25 673 0.5× 208 0.4× 227 0.5× 216 0.5× 213 0.6× 46 1.9k
David Madigan United States 24 528 0.4× 269 0.5× 134 0.3× 335 0.8× 427 1.1× 47 2.6k
Jason Lazarou Canada 4 1.4k 1.0× 394 0.7× 559 1.3× 380 0.9× 115 0.3× 7 3.9k
Gerald J. Dal Pan United States 30 598 0.4× 115 0.2× 208 0.5× 287 0.7× 391 1.0× 106 4.1k
Marie Lindquist Sweden 24 2.5k 1.7× 840 1.4× 860 2.1× 322 0.8× 458 1.2× 45 3.9k
Manfred Hauben United States 26 1.4k 1.0× 548 0.9× 448 1.1× 192 0.5× 297 0.8× 77 2.4k
Roland Orre Sweden 9 1.7k 1.2× 609 1.1× 555 1.3× 222 0.5× 373 1.0× 15 2.5k

Countries citing papers authored by G. Niklas Norén

Since Specialization
Citations

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

Fields of papers citing papers by G. Niklas Norén

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Niklas Norén. 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 G. Niklas Norén. The network helps show where G. Niklas Norén may publish in the future.

Co-authorship network of co-authors of G. Niklas Norén

This figure shows the co-authorship network connecting the top 25 collaborators of G. Niklas Norén. A scholar is included among the top collaborators of G. Niklas Norén based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with G. Niklas Norén. G. Niklas Norén is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Fusaroli, Michele, Daniele Sartori, Eugène van Puijenbroek, & G. Niklas Norén. (2025). Charting and Sidestepping the Pitfalls of Disproportionality Analysis. Drug Safety. 49(2). 147–162. 1 indexed citations
2.
Sartori, Daniele, et al.. (2025). Signals of Adverse Reactions to Herbal Medicines: Evidence and Document Analysis Based on a Scoping Review. Drug Safety. 48(12). 1339–1352. 1 indexed citations
4.
5.
Sartori, Daniele, et al.. (2024). A Comparison of Signals of Designated Medical Events and Non-designated Medical Events: Results from a Scoping Review. Drug Safety. 47(5). 475–485. 1 indexed citations
6.
Norén, G. Niklas, et al.. (2024). Automated redaction of names in adverse event reports using transformer-based neural networks. BMC Medical Informatics and Decision Making. 24(1). 401–401. 1 indexed citations
7.
Ekhart, Corine, Florence van Hunsel, Eugène van Puijenbroek, et al.. (2022). Post-Marketing Safety Profile of Vortioxetine Using a Cluster Analysis and a Disproportionality Analysis of Global Adverse Event Reports. Drug Safety. 45(2). 145–153. 12 indexed citations
9.
Chandler, Rebecca E., et al.. (2020). Interstitial Lung Disease as an Adverse Drug Reaction in Japan: Exploration of Regulatory Actions as a Basis for High Reporting. Drug Safety. 43(11). 1121–1131. 23 indexed citations
10.
Härmark, Linda, et al.. (2020). Communicating Adverse Drug Reaction Insights Through Patient Organizations: Experiences from a Pilot Study in the Netherlands. Drug Safety. 43(8). 745–749. 4 indexed citations
11.
Sartori, Daniele, et al.. (2020). A Feasibility Study of Drug–Drug Interaction Signal Detection in Regular Pharmacovigilance. Drug Safety. 43(8). 775–785. 17 indexed citations
13.
Caster, Ola, Marie‐Laure Kürzinger, Simon Maskell, et al.. (2018). Assessment of the Utility of Social Media for Broad-Ranging Statistical Signal Detection in Pharmacovigilance: Results from the WEB-RADR Project. Drug Safety. 41(12). 1355–1369. 43 indexed citations
14.
Wisniewski, A, Andrew Bate, Cédric Bousquet, et al.. (2016). Good Signal Detection Practices: Evidence from IMI PROTECT. Drug Safety. 39(6). 469–490. 106 indexed citations
15.
Seabroke, Suzie, Gianmario Candore, Kristina Juhlin, et al.. (2016). Performance of Stratified and Subgrouped Disproportionality Analyses in Spontaneous Databases. Drug Safety. 39(4). 355–364. 43 indexed citations
16.
Juhlin, Kristina, Daniel Soeria‐Atmadja, Bharat Thakrar, & G. Niklas Norén. (2014). Evaluation of Statistical Measures for Adverse Drug Interaction Surveillance. Pharmacoepidemiology and Drug Safety. 23. 294–295. 3 indexed citations
17.
Caster, Ola, Kristina Juhlin, Sarah Watson, & G. Niklas Norén. (2014). A Paradigm Shift for Screening Individual Case Reports : Accounting for Quality and Content. Pharmacoepidemiology and Drug Safety. 23. 37–37. 1 indexed citations
18.
Seabroke, Suzie, Kristina Juhlin, Gianmario Candore, et al.. (2014). Impact of Subgroup Analyses and Adjustment by Stratification on Safety Signal Detection for Individual Case Reports. Pharmacoepidemiology and Drug Safety. 23. 416–416.
19.
Caster, Ola, Kristina Juhlin, Sarah Watson, & G. Niklas Norén. (2014). Improved Statistical Signal Detection in Pharmacovigilance by Combining Multiple Strength-of-Evidence Aspects in vigiRank. Drug Safety. 37(8). 617–628. 82 indexed citations
20.
Juhlin, Kristina, Xiaofei Ye, Kristina Star, & G. Niklas Norén. (2013). Outlier Removal Expedites Adverse Drug Reaction Surveillance - Evaluation of a Simple Unmasking Strategy. Pharmacoepidemiology and Drug Safety. 22. 92–92. 1 indexed citations

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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