Gabe Mintier
Impact in
- Pharmacology top 10%
- Pharmacogenetics and Drug Metabolism
- Drug-Induced Hepatotoxicity and Protection
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- Drug Transport and Resistance Mechanisms
- Cancer Immunotherapy and Biomarkers
Papers in
- Oncology 4
- Drug Transport and Resistance Mechanisms 3
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- CRISPR and Genetic Engineering 2
- Epigenetics and DNA Methylation 1
- Pluripotent Stem Cells Research 1
- Co-authors
- John N. Feder (5 shared papers)Qi Guo (2 shared papers)A. David Rodrigues (3 shared papers)Hong Shen (3 shared papers)Punit Marathe (2 shared papers)Isaac Neuhaus (1 shared paper)Cliff Chen (1 shared paper)Zheng Yang (1 shared paper)
- Journals
- Journal of Pharmacology and Experimental Therapeutics (2 papers)Bioinformatics (1 paper)Drug Metabolism and Disposition (1 paper)Analytical Biochemistry (1 paper)Protein Expression and Purification (1 paper)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Gabe Mintier
8 papers receiving 296 citations
Peers
Comparison fields: 5 of 63
- Pharmacology 62
- Oncology 147
- Pediatrics, Perinatology and Child Health 69
- Business and International Management 6
- Aging 4
Countries citing papers authored by Gabe Mintier
This map shows the geographic impact of Gabe Mintier'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 Gabe Mintier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabe Mintier more than expected).
Fields of papers citing papers by Gabe Mintier
This network shows the impact of papers produced by Gabe Mintier. 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 Gabe Mintier. The network helps show where Gabe Mintier may publish in the future.
Co-authors
The 25 scholars most cited alongside Gabe Mintier, 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 | 2013 | 72 | |
| 2 | 2018 | 46 | |
| 3 | 2006 | 39 | |
| 4 | 2017 | 34 | |
| 5 | 2015 | 29 | |
| 6 | 2015 | 29 | |
| 7 | 2016 | 27 | |
| 8 | 2005 | 25 |
About Gabe Mintier
Gabe Mintier is a scholar working on Oncology, Molecular Biology, Pediatrics, Perinatology and Child Health, Pharmacology and Clinical Biochemistry, having authored 8 papers that have together received 301 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (3 papers), Pharmacological Effects and Toxicity Studies (3 papers), CRISPR and Genetic Engineering (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Adipose Tissue and Metabolism (1 paper), Epigenetics and DNA Methylation (1 paper), Pluripotent Stem Cells Research (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Pharmacology (62 citations), Oncology (147 citations), Pediatrics, Perinatology and Child Health (69 citations), Business and International Management (6 citations) and Aging (4 citations). Gabe Mintier has collaborated with scholars based in United States, Germany and China. Frequent co-authors include John N. Feder, Qi Guo, A. David Rodrigues, Hong Shen, Punit Marathe, Isaac Neuhaus, Cliff Chen, Zheng Yang, Dehua Zhao and Manling Ma-Edmonds. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Bioinformatics, Drug Metabolism and Disposition, Analytical Biochemistry and Protein Expression and Purification.
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.