Laura Suter‐Dick
- Pharmacology top 1%
- Drug-Induced Hepatotoxicity and Protection 10
- Pharmacogenetics and Drug Metabolism 8
- Hepatology top 5%
- Liver physiology and pathology 9
- Molecular Biology top 10%
- Metabolomics and Mass Spectrometry Studies 8
- Gene expression and cancer classification 6
- Spectroscopy top 5%
- Biomedical Engineering top 5%
- 3D Printing in Biomedical Research 8
-
- Liver Disease Diagnosis and Treatment 10
-
- Computational Drug Discovery Methods 8
- Co-authors
- Michael FountoulakisAdrian RothFranziska BoessHenriëtte L. LanzMartijn J. WilmerRosalinde MasereeuwPaul VultoChee Ping Ng
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (5 papers)Scientific Reports (1 paper)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Laura Suter‐Dick
66 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 118
- Pharmacology 352
- Hepatology 285
- Molecular Biology 1.1k
- Spectroscopy 260
- Biomedical Engineering 661
Countries citing papers authored by Laura Suter‐Dick
This map shows the geographic impact of Laura Suter‐Dick'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 Laura Suter‐Dick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Suter‐Dick more than expected).
Fields of papers citing papers by Laura Suter‐Dick
This network shows the impact of papers produced by Laura Suter‐Dick. 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 Laura Suter‐Dick. The network helps show where Laura Suter‐Dick may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Laura Suter‐Dick, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 13 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 28 | |
| 8 | 2022 | 7 | |
| 9 | 2020 | 7 | |
| 10 | 2019 | 9 | |
| 11 | 2018 | 62 | |
| 12 | 2017 | 80 | |
| 13 | Predictive Toxicology: From Vision to Reality | 2015 | 9 |
| 14 | 2014 | 24 | |
| 15 | 2013 | 90 | |
| 16 | 2011 | 8 | |
| 17 | 2010 | 43 | |
| 18 | 2010 | 26 | |
| 19 | 2004 | 50 | |
| 20 | 2004 | 101 |
About Laura Suter‐Dick
Laura Suter‐Dick is a scholar working on Pharmacology, Hepatology and Computational Theory and Mathematics, having authored 70 papers that have together received 2.4k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (10 papers), Drug-Induced Hepatotoxicity and Protection (10 papers), Liver physiology and pathology (9 papers), Metabolomics and Mass Spectrometry Studies (8 papers), Pharmacogenetics and Drug Metabolism (8 papers), 3D Printing in Biomedical Research (8 papers), Computational Drug Discovery Methods (8 papers) and Gene expression and cancer classification (6 papers). The work is most often cited by research in Pharmacology (352 citations), Hepatology (285 citations) and Molecular Biology (1.1k citations). Laura Suter‐Dick has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Michael Fountoulakis, Adrian Roth, Franziska Boess, Henriëtte L. Lanz, Martijn J. Wilmer, Rosalinde Masereeuw, Paul Vulto, Chee Ping Ng, Silvio Albertini and Peter Berndt. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.