Marie Lindquist
Impact in
- Toxicology top 0.01%
- Pharmacovigilance and Adverse Drug Reactions
- Geriatrics and Gerontology top 1%
- Pharmaceutical Practices and Patient Outcomes
Papers in
- Toxicology 28
- Pharmacovigilance and Adverse Drug Reactions 28
-
- Computational Drug Discovery Methods 16
- Co-authors
- Andrew BateRoland OrreI. Ralph EdwardsToine C. G. EgbertsEugène van PuijenbroekHubert G.M. LeufkensAnders LansnerSten Olsson
- Journals
- Drug Safety (16 papers)Pharmacoepidemiology and Drug Safety (7 papers)European Journal of Clinical Pharmacology (4 papers)Drug Information Journal (2 papers)The Lancet (2 papers)
- Partner nations
- SwedenNetherlandsUnited Kingdom
In The Last Decade
Marie Lindquist
44 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Toxicology 2.5k
- Geriatrics and Gerontology 230
- Statistics and Probability 458
- Computational Theory and Mathematics 840
- Pharmacology 860
Countries citing papers authored by Marie Lindquist
This map shows the geographic impact of Marie Lindquist'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 Marie Lindquist with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marie Lindquist more than expected).
Fields of papers citing papers by Marie Lindquist
This network shows the impact of papers produced by Marie Lindquist. 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 Marie Lindquist. The network helps show where Marie Lindquist may publish in the future.
Co-authors
The 25 scholars most cited alongside Marie Lindquist, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 1 | |
| 2 | 2020 | 32 | |
| 3 | 2018 | 6 | |
| 4 | 2014 | 31 | |
| 5 | 2014 | 34 | |
| 6 | 2013 | 140 | |
| 7 | 2011 | 16 | |
| 8 | 2008 | 76 | |
| 9 | 2007 | 29 | |
| 10 | 2007 | 32 | |
| 11 | 2004 | 58 | |
| 12 | 2002 | 63 | |
| 13 | 2000 | 170 | |
| 14 | 2000 | 70 | |
| 15 | 2000 | 79 | |
| 16 | 1999 | 10 | |
| 17 | 1997 | 13 | |
| 18 | 1997 | 68 | |
| 19 | 1996 | 8 | |
| 20 | 1990 | 91 |
About Marie Lindquist
Marie Lindquist is a scholar working on Toxicology, Computational Theory and Mathematics, Statistics and Probability, Pharmacology and Geriatrics and Gerontology, having authored 45 papers that have together received 3.9k indexed citations. Recurring topics across this work include Pharmacovigilance and Adverse Drug Reactions (28 papers), Computational Drug Discovery Methods (16 papers), Pharmaceutical Economics and Policy (7 papers), Biosimilars and Bioanalytical Methods (6 papers), Drug-Induced Adverse Reactions (5 papers), Pharmaceutical studies and practices (5 papers), Statistical Methods in Clinical Trials (4 papers) and Pharmacogenetics and Drug Metabolism (3 papers). The work is most often cited by research in Toxicology (2.5k citations), Geriatrics and Gerontology (230 citations), Statistics and Probability (458 citations), Computational Theory and Mathematics (840 citations) and Pharmacology (860 citations). Marie Lindquist has collaborated with scholars based in Sweden, Netherlands and United Kingdom. Frequent co-authors include Andrew Bate, Roland Orre, I. Ralph Edwards, Toine C. G. Egberts, Eugène van Puijenbroek, Hubert G.M. Leufkens, Anders Lansner, Sten Olsson, Rivelilson Mendes de Freitas and Ronald H.B. Meyboom. Their work appears in journals such as Drug Safety, Pharmacoepidemiology and Drug Safety, European Journal of Clinical Pharmacology, Drug Information Journal and The Lancet.
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.