G. Niklas Norén
- Toxicology top 0.02%
- Computational Theory and Mathematics top 1%
- Pharmacology top 2%
- Molecular Biology
- Statistics and Probability top 1%
- Co-authors
- Andrew BateI. Ralph EdwardsJohan HopstadiusOla CasterRoland OrreKristina JuhlinKristina StarTomas Bergvall
- Topics
- Pharmacovigilance and Adverse Drug Reactions (47 papers)Computational Drug Discovery Methods (21 papers)Statistical Methods in Clinical Trials (11 papers)
- Partner nations
- SwedenUnited KingdomUnited States
In The Last Decade
G. Niklas Norén
61 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Toxicology 1.4k
- Computational Theory and Mathematics 580
- Pharmacology 418
- Molecular Biology 405
- Statistics and Probability 375
Countries citing papers authored by G. Niklas Norén
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 12 | |
| 8 | 23 | |
| 9 | 4 | |
| 10 | 37 | |
| 11 | 17 | |
| 12 | 32 | |
| 13 | 43 | |
| 14 | 106 | |
| 15 | A Paradigm Shift for Screening Individual Case Reports : Accounting for Quality and Content | 1 |
| 16 | Impact of Subgroup Analyses and Adjustment by Stratification on Safety Signal Detection for Individual Case Reports | 0 |
| 17 | Evaluation of Statistical Measures for Adverse Drug Interaction Surveillance | 3 |
| 18 | 31 | |
| 19 | 82 | |
| 20 | Outlier Removal Expedites Adverse Drug Reaction Surveillance - Evaluation of a Simple Unmasking Strategy | 1 |
About G. Niklas Norén
G. Niklas Norén is a scholar working on Toxicology, Statistics and Probability and Computational Theory and Mathematics, having authored 63 papers that have together received 2.9k indexed citations. Recurring topics across this work include Pharmacovigilance and Adverse Drug Reactions (47 papers), Computational Drug Discovery Methods (21 papers) and Statistical Methods in Clinical Trials (11 papers). The work is most often cited by research in Toxicology (1.4k citations), Health Information Management (240 citations) and Statistics and Probability (375 citations). G. Niklas Norén has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent 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. Their work appears in journals such as PLoS ONE, Statistics in Medicine and Journal of the American Medical Informatics Association.
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.