Erin L. Code
Impact in
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism
- Oncology top 10%
- Peptidase Inhibition and Analysis
- Drug Transport and Resistance Mechanisms
Papers in
- Oncology 6
- CAR-T cell therapy research 2
-
- Epigenetics and DNA Methylation 5
- Cancer-related gene regulation 4
- Protein Degradation and Inhibitors 3
- RNA modifications and cancer 3
- 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)Diane L. Lanza (1 shared paper)Garold S. Yost (1 shared paper)Huawei Chen (4 shared papers)
- Journals
- Journal of Medicinal Chemistry (5 papers)ACS Chemical Biology (3 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)ACS Medicinal Chemistry Letters (2 papers)Cell chemical biology (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Erin L. Code
16 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 82
- Pharmacology 217
- Oncology 309
- Molecular Biology 639
- Pathology and Forensic Medicine 117
- Hematology 67
Countries citing papers authored by Erin L. Code
This map shows the geographic impact of Erin L. 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 L. 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 L. Code more than expected).
Fields of papers citing papers by Erin L. Code
This network shows the impact of papers produced by Erin L. 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 L. Code. The network helps show where Erin L. Code may publish in the future.
Co-authors
The 25 scholars most cited alongside Erin L. 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 | 219 |
| 2 | 2019 | 161 | |
| 3 | 2018 | 122 | |
| 4 | 2012 | 97 | |
| 5 | 1999 | 96 | |
| 6 | 2013 | 93 | |
| 7 | 2017 | 69 | |
| 8 | 2011 | 47 | |
| 9 | 2014 | 39 | |
| 10 | 2011 | 37 | |
| 11 | 2021 | 18 | |
| 12 | 2021 | 15 | |
| 13 | 2023 | 12 | |
| 14 | 2024 | 10 | |
| 15 | 2019 | 9 | |
| 16 | 2024 | 5 | |
| 17 | 2025 | 0 |
About Erin L. Code
Erin L. Code is a scholar working on Oncology, Molecular Biology, Pharmacology, Hematology and Pharmacology, having authored 17 papers that have together received 1.0k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (5 papers), Cancer-related gene regulation (4 papers), Protein Degradation and Inhibitors (3 papers), RNA modifications and cancer (3 papers), CAR-T cell therapy research (2 papers), Microtubule and mitosis dynamics (2 papers), Multiple Myeloma Research and Treatments (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). The work is most often cited by research in Pharmacology (217 citations), Oncology (309 citations), Molecular Biology (639 citations), Pathology and Forensic Medicine (117 citations) and Hematology (67 citations). Erin L. Code has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Frank J. Gonzalez, Charles L. Crespi, Thomas K. H. Chang, David J. Waxman, Bruce W. Penman, Diane L. Lanza, Garold S. Yost, Huawei Chen, Andrew D. Ferguson and Michelle L. Lamb. Their work appears in journals such as Journal of Medicinal Chemistry, ACS Chemical Biology, Bioorganic & Medicinal Chemistry Letters, ACS Medicinal Chemistry Letters and Cell chemical biology.
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.