Ryan Lutz
Impact in
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- Diabetes, Cardiovascular Risks, and Lipoproteins
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
Papers in
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- Pharmacogenetics and Drug Metabolism 3
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- Diabetes, Cardiovascular Risks, and Lipoproteins 1
- Co-authors
- C.M. Chavez-Eng (5 shared papers)Rajesh Krishna (1 shared paper)María J. Gutiérrez (1 shared paper)Kim Rosko (1 shared paper)James Doherty (1 shared paper)Bo Jin (1 shared paper)Jeffrey Chodakewitz (1 shared paper)Keith M Gottesdiener (1 shared paper)
- Journals
- Clinical Pharmacology & Therapeutics (2 papers)British Journal of Clinical Pharmacology (1 paper)Journal of Chromatography B (1 paper)Drug Metabolism and Pharmacokinetics (1 paper)Advanced Healthcare Materials (1 paper)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Ryan Lutz
8 papers receiving 496 citations
Peers
Comparison fields: 5 of 50
- Endocrinology, Diabetes and Metabolism 167
- Pharmacology 88
- Surgery 251
- Oncology 141
- Cancer Research 71
Countries citing papers authored by Ryan Lutz
This map shows the geographic impact of Ryan Lutz'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 Ryan Lutz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Lutz more than expected).
Fields of papers citing papers by Ryan Lutz
This network shows the impact of papers produced by Ryan Lutz. 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 Ryan Lutz. The network helps show where Ryan Lutz may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Lutz, 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 | 2007 | 242 | |
| 2 | 2016 | 121 | |
| 3 | 2008 | 91 | |
| 4 | 2009 | 48 | |
| 5 | 2019 | 8 | |
| 6 | 2018 | 6 | |
| 7 | 2015 | 2 | |
| 8 | 2025 | 2 | |
| 9 | 2024 | 0 |
About Ryan Lutz
Ryan Lutz is a scholar working on Pharmacology, Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health, Virology and Pharmaceutical Science, having authored 9 papers that have together received 520 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (3 papers), Drug Transport and Resistance Mechanisms (2 papers), Pharmacological Effects and Toxicity Studies (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Lipoproteins and Cardiovascular Health (1 paper), Methemoglobinemia and Tumor Lysis Syndrome (1 paper), Advancements in Transdermal Drug Delivery (1 paper) and Peroxisome Proliferator-Activated Receptors (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (167 citations), Pharmacology (88 citations), Surgery (251 citations), Oncology (141 citations) and Cancer Research (71 citations). Ryan Lutz has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include C.M. Chavez-Eng, Rajesh Krishna, María J. Gutiérrez, Kim Rosko, James Doherty, Bo Jin, Jeffrey Chodakewitz, Keith M Gottesdiener, Matt S. Anderson and Daniel M. Bloomfield. Their work appears in journals such as Clinical Pharmacology & Therapeutics, British Journal of Clinical Pharmacology, Journal of Chromatography B, Drug Metabolism and Pharmacokinetics and Advanced Healthcare Materials.
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.