Erin G. Schuetz

25.3k citations
198 papers · 19.9k indexed · 4 hit papers · h-index 77

Erin G. Schuetz

197 papers receiving 19.4k citations

Hit Papers

Genetic contribution to variable human CYP3A-mediated ...798198820262000201350010001.5k

Peers

Erin G. Schuetz
Comparison fields: 5 of 142
  • Pharmacology 9.8k
  • Transplantation 1.4k
  • Oncology 9.7k
  • Pediatrics, Perinatology and Child Health 4.0k
  • Endocrinology, Diabetes and Metabolism 2.5k
Replace Ulrich M. Zanger with:
Ulrich M. Zanger Germany
Paul B. Watkins United States
Steven Wrighton United States
Ann K. Daly United Kingdom
John D. Schuetz United States
Richard B. Kim Canada
Mikko Niemi Finland
Patrick Maurel France
Ken‐ichi Inui Japan
Kathleen M. Giacomini United States
Erin G. Schuetz relative to Ulrich M. Zanger Germany Ulrich M. Zanger's profile →
Citations per field
00.5×1.7×
Ulrich M. Zanger · 1×
Citations per year

Countries citing papers authored by Erin G. Schuetz

Since Specialization
Citations

This map shows the geographic impact of Erin G. Schuetz'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 G. Schuetz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erin G. Schuetz more than expected).

Fields of papers citing papers by Erin G. Schuetz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erin G. Schuetz. 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 G. Schuetz. The network helps show where Erin G. Schuetz may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Erin G. Schuetz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Erin G. Schuetz Line = papers co-authored together Erin G. Schuetz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20233
3 201852
4 201739
5 201361
6 201237
7 2011134
8 2009200
9 200940
10 2008116
11 2006112
12 200633
13 200612
14
The CYP3A4*1B variant is related to the onset of puberty, a known risk factor for the development of breast cancer.
200383
15 2003223
16 2003320
17 200244
18 199439
19 199410
20
Regulation of gene expression in adult rat hepatocytes cultured on a basement membrane matrixbreakdown →
1988424

About Erin G. Schuetz

Erin G. Schuetz is a scholar working on Pharmacology, Transplantation and Oncology, having authored 198 papers that have together received 19.9k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (121 papers), Drug Transport and Resistance Mechanisms (104 papers), Pharmacological Effects and Toxicity Studies (33 papers), Hormonal Regulation and Hypertension (25 papers), Drug-Induced Hepatotoxicity and Protection (19 papers), Estrogen and related hormone effects (15 papers), Renal Transplantation Outcomes and Treatments (11 papers) and HIV/AIDS drug development and treatment (8 papers). The work is most often cited by research in Pharmacology (9.8k citations), Transplantation (1.4k citations) and Oncology (9.7k citations). Erin G. Schuetz has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include John D. Schuetz, Jatinder K. Lamba, Philip S. Guzelian, Kenneth E. Thummel, Steven Wrighton, Paul B. Watkins, Kazuto Yasuda, Stephen C. Strom, Yvonne S. Lin and Mary V. Relling. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and The Lancet.

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.

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