Denise Morris
Impact in
- Pharmaceutical Science top 10%
- Drug Solubulity and Delivery Systems
Papers in
-
- Viral Infectious Diseases and Gene Expression in Insects 1
-
- Pharmacogenetics and Drug Metabolism 3
- Antibiotics Pharmacokinetics and Efficacy 3
- Co-authors
- Clemens Kreutz (1 shared paper)Peter König (1 shared paper)Guilio Barbero (1 shared paper)Nancy L. Hordvik (1 shared paper)Harry Alcorn (2 shared papers)Thomas Marbury (2 shared papers)Edward Fang (2 shared papers)Philippe Prokocimer (2 shared papers)
- Journals
- The AAPS Journal (2 papers)npj Systems Biology and Applications (1 paper)Neurology (1 paper)British Journal of Clinical Pharmacology (1 paper)Antimicrobial Agents and Chemotherapy (1 paper)
- Partner nations
- United StatesSwitzerlandBelgium
In The Last Decade
Denise Morris
14 papers receiving 297 citations
Peers
Comparison fields: 5 of 63
- Pharmaceutical Science 54
- Pharmacology 21
- Orthopedics and Sports Medicine 19
- Infectious Diseases 42
- Analytical Chemistry 23
Countries citing papers authored by Denise Morris
This map shows the geographic impact of Denise Morris'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 Denise Morris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Denise Morris more than expected).
Fields of papers citing papers by Denise Morris
This network shows the impact of papers produced by Denise Morris. 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 Denise Morris. The network helps show where Denise Morris may publish in the future.
Co-authors
The 25 scholars most cited alongside Denise Morris, 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 | 2019 | 80 | |
| 2 | 1985 | 52 | |
| 3 | 2014 | 50 | |
| 4 | 2013 | 25 | |
| 5 | 2019 | 22 | |
| 6 | 2014 | 21 | |
| 7 | 2024 | 17 | |
| 8 | 2011 | 17 | |
| 9 | 2020 | 7 | |
| 10 | Odanacatib does not influence the single dose pharmacokinetics and pharmacodynamics of warfarin. | 2013 | 7 |
| 11 | 2013 | 2 | |
| 12 | 2017 | 1 | |
| 13 | 2023 | 1 | |
| 14 | 2022 | 1 |
About Denise Morris
Denise Morris is a scholar working on Molecular Biology, Pharmacology, Pediatrics, Perinatology and Child Health, Pharmacology and Psychiatry and Mental health, having authored 14 papers that have together received 303 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (3 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Epilepsy research and treatment (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Pharmaceutical Practices and Patient Outcomes (1 paper), Endometriosis Research and Treatment (1 paper), Estrogen and related hormone effects (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Pharmaceutical Science (54 citations), Pharmacology (21 citations), Orthopedics and Sports Medicine (19 citations), Infectious Diseases (42 citations) and Analytical Chemistry (23 citations). Denise Morris has collaborated with scholars based in United States, Switzerland and Belgium. Frequent co-authors include Clemens Kreutz, Peter König, Guilio Barbero, Nancy L. Hordvik, Harry Alcorn, Thomas Marbury, Edward Fang, Philippe Prokocimer, Shawn D. Flanagan and Daniel C. Kirouac. Their work appears in journals such as The AAPS Journal, npj Systems Biology and Applications, Neurology, British Journal of Clinical Pharmacology and Antimicrobial Agents and Chemotherapy.
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.