Erin Code
Impact in
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism
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- Drug Transport and Resistance Mechanisms
Papers in
-
- Epigenetics and DNA Methylation 4
- Cancer-related gene regulation 3
- RNA modifications and cancer 2
- DNA Repair Mechanisms 1
- Protein Degradation and Inhibitors 1
- Co-authors
- Frank J. Gonzalez (2 shared papers)Charles L. Crespi (2 shared papers)Thomas K. H. Chang (1 shared paper)David J. Waxman (1 shared paper)Bruce W. Penman (1 shared paper)Garold S. Yost (1 shared paper)Diane L. Lanza (1 shared paper)Huawei Chen (4 shared papers)
- Journals
- ACS Chemical Biology (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Proceedings of the National Academy of Sciences (1 paper)Drug Metabolism and Disposition (1 paper)ACS Medicinal Chemistry Letters (1 paper)
- Partner nations
- United StatesUnited KingdomSingapore
In The Last Decade
Erin Code
8 papers receiving 578 citations
Peers
Comparison fields: 5 of 73
- Pharmacology 214
- Oncology 179
- Biochemistry 43
- Pathology and Forensic Medicine 81
- Cell Biology 70
Countries citing papers authored by Erin Code
This map shows the geographic impact of Erin Code'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 Erin Code with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erin Code more than expected).
Fields of papers citing papers by Erin Code
This network shows the impact of papers produced by Erin Code. 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 Erin Code. The network helps show where Erin Code may publish in the future.
Co-authors
The 25 scholars most cited alongside Erin Code, 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 | Human cytochrome P4502B6: interindividual hepatic expression, substrate specificity, and role in procarcinogen activation. | 1997 | 217 |
| 2 | 1999 | 95 | |
| 3 | 2013 | 90 | |
| 4 | 2012 | 88 | |
| 5 | 2011 | 44 | |
| 6 | 2014 | 36 | |
| 7 | 2021 | 14 | |
| 8 | 2019 | 9 | |
| 9 | 2025 | 0 |
About Erin Code
Erin Code is a scholar working on Molecular Biology, Organic Chemistry, Oncology, Pharmacology and Pharmacology, having authored 9 papers that have together received 593 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (4 papers), Cancer-related gene regulation (3 papers), Pharmacogenetics and Drug Metabolism (2 papers), RNA modifications and cancer (2 papers), DNA Repair Mechanisms (1 paper), Cancer Mechanisms and Therapy (1 paper), Protein Degradation and Inhibitors (1 paper) and Inflammatory mediators and NSAID effects (1 paper). The work is most often cited by research in Pharmacology (214 citations), Oncology (179 citations), Biochemistry (43 citations), Pathology and Forensic Medicine (81 citations) and Cell Biology (70 citations). Erin Code has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Frank J. Gonzalez, Charles L. Crespi, Thomas K. H. Chang, David J. Waxman, Bruce W. Penman, Garold S. Yost, Diane L. Lanza, Huawei Chen, Andrew D. Ferguson and Xiahui Zhu. Their work appears in journals such as ACS Chemical Biology, Bioorganic & Medicinal Chemistry Letters, Proceedings of the National Academy of Sciences, Drug Metabolism and Disposition and ACS 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.