Eric Gonzalez
Impact in
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
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- Hormonal Regulation and Hypertension
- Hormonal and reproductive studies
Papers in
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- Pharmacogenetics and Drug Metabolism 9
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- Metabolomics and Mass Spectrometry Studies 2
- Co-authors
- F. Peter Guengerich (5 shared papers)Francis K. Yoshimoto (3 shared papers)Richard J. Auchus (1 shared paper)Lei Li (2 shared papers)Martin Egli (2 shared papers)Pradeep S. Pallan (2 shared papers)Z. Wawrzak (2 shared papers)Valerie M. Kramlinger (1 shared paper)
- Journals
- Journal of Biological Chemistry (5 papers)Journal of the American Chemical Society (1 paper)Drug Metabolism and Pharmacokinetics (1 paper)Drug Metabolism Reviews (1 paper)Frontiers in Pharmacology (1 paper)
- Partner nations
- United StatesSwitzerlandSweden
In The Last Decade
Eric Gonzalez
12 papers receiving 305 citations
Peers
Comparison fields: 5 of 71
- Pharmacology 163
- Endocrinology, Diabetes and Metabolism 75
- Inorganic Chemistry 54
- Oncology 65
- Computational Theory and Mathematics 36
Countries citing papers authored by Eric Gonzalez
This map shows the geographic impact of Eric Gonzalez'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 Eric Gonzalez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Gonzalez more than expected).
Fields of papers citing papers by Eric Gonzalez
This network shows the impact of papers produced by Eric Gonzalez. 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 Eric Gonzalez. The network helps show where Eric Gonzalez may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Gonzalez, 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 | 2016 | 59 | |
| 2 | 2014 | 55 | |
| 3 | 2017 | 43 | |
| 4 | 2017 | 39 | |
| 5 | 2016 | 32 | |
| 6 | 2017 | 26 | |
| 7 | 2021 | 22 | |
| 8 | 2016 | 10 | |
| 9 | 2020 | 10 | |
| 10 | 2022 | 9 | |
| 11 | 2018 | 1 | |
| 12 | 2018 | 1 |
About Eric Gonzalez
Eric Gonzalez is a scholar working on Pharmacology, Molecular Biology, Computational Theory and Mathematics, Genetics and Endocrinology, Diabetes and Metabolism, having authored 12 papers that have together received 307 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (9 papers), Computational Drug Discovery Methods (4 papers), Estrogen and related hormone effects (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Hormonal and reproductive studies (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Cancer Genomics and Diagnostics (1 paper) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Pharmacology (163 citations), Endocrinology, Diabetes and Metabolism (75 citations), Inorganic Chemistry (54 citations), Oncology (65 citations) and Computational Theory and Mathematics (36 citations). Eric Gonzalez has collaborated with scholars based in United States, Switzerland and Sweden. Frequent co-authors include F. Peter Guengerich, Francis K. Yoshimoto, Richard J. Auchus, Lei Li, Martin Egli, Pradeep S. Pallan, Z. Wawrzak, Valerie M. Kramlinger, Sandeep Goyal and Caleigh M. Azumaya. Their work appears in journals such as Journal of Biological Chemistry, Journal of the American Chemical Society, Drug Metabolism and Pharmacokinetics, Drug Metabolism Reviews and Frontiers in Pharmacology.
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.