Yvonne Will
Impact in
- Pharmacology top 0.2%
- Drug-Induced Hepatotoxicity and Protection
- Pharmacogenetics and Drug Metabolism
- Clinical Biochemistry top 1%
- Metabolism and Genetic Disorders
Papers in
-
- Metabolism and Genetic Disorders 18
- Pharmacology 20
- Drug-Induced Hepatotoxicity and Protection 16
- Pharmacogenetics and Drug Metabolism 14
- Co-authors
- James A. DykensSashi NadanacivaJames T. HynesLisa D. MarroquinMichael D. AleoRachel SwissJames D. JamiesonPayal Rana
- Journals
- Toxicological Sciences (12 papers)Toxicology in Vitro (6 papers)Chemical Research in Toxicology (6 papers)Toxicology and Applied Pharmacology (5 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)
- Partner nations
- United StatesUnited KingdomIreland
In The Last Decade
Yvonne Will
84 papers receiving 5.2k citations
Peers
Comparison fields: 5 of 138
- Pharmacology 1.0k
- Clinical Biochemistry 354
- Hepatology 347
- Computational Theory and Mathematics 667
- Molecular Biology 2.6k
Countries citing papers authored by Yvonne Will
This map shows the geographic impact of Yvonne Will'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 Yvonne Will with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yvonne Will more than expected).
Fields of papers citing papers by Yvonne Will
This network shows the impact of papers produced by Yvonne Will. 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 Yvonne Will. The network helps show where Yvonne Will may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yvonne Will, 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 | 2023 | 7 | |
| 2 | 2018 | 9 | |
| 3 | 2017 | 26 | |
| 4 | 2017 | 25 | |
| 5 | 2015 | 6 | |
| 6 | 2013 | 38 | |
| 7 | 2012 | 75 | |
| 8 | 2012 | 7 | |
| 9 | 2012 | 130 | |
| 10 | 2012 | 17 | |
| 11 | 2012 | 169 | |
| 12 | 2010 | 53 | |
| 13 | 2010 | 23 | |
| 14 | 2008 | 149 | |
| 15 | 2007 | 464 | |
| 16 | 2007 | 303 | |
| 17 | 2007 | 76 | |
| 18 | 2006 | 136 | |
| 19 | 2002 | 17 | |
| 20 | 1997 | 14 |
About Yvonne Will
Yvonne Will is a scholar working on Clinical Biochemistry, Pharmacology, Bioengineering, Computational Theory and Mathematics and Molecular Biology, having authored 84 papers that have together received 5.3k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (30 papers), Metabolism and Genetic Disorders (18 papers), Drug-Induced Hepatotoxicity and Protection (16 papers), Computational Drug Discovery Methods (15 papers), Metabolomics and Mass Spectrometry Studies (14 papers), Pharmacogenetics and Drug Metabolism (14 papers), ATP Synthase and ATPases Research (8 papers) and Analytical Chemistry and Sensors (7 papers). The work is most often cited by research in Pharmacology (1.0k citations), Clinical Biochemistry (354 citations), Hepatology (347 citations), Computational Theory and Mathematics (667 citations) and Molecular Biology (2.6k citations). Yvonne Will has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include James A. Dykens, Sashi Nadanaciva, James T. Hynes, Lisa D. Marroquin, Michael D. Aleo, Rachel Swiss, James D. Jamieson, Payal Rana, Eric A.G. Blomme and Dmitri B. Papkovsky. Their work appears in journals such as Toxicological Sciences, Toxicology in Vitro, Chemical Research in Toxicology, Toxicology and Applied Pharmacology and Bioorganic & Medicinal Chemistry Letters.
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.