Center for Drug Evaluation and Research
Impact in
- Pharmaceutical Science top 0.5%
- Drug Solubulity and Delivery Systems
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism
Papers in
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- Statistical Methods in Clinical Trials 747
-
- Drug Solubulity and Delivery Systems 355
- Top scholars
- Richard PazdurJanet WoodcockVinod P. ShahAmy S. RosenbergMartin H. CohenPatricia KeeganMansoor A. KhanLawrence X. Yu
- Journals
- Clinical Pharmacology & Therapeutics (350 papers)The Journal of Clinical Pharmacology (188 papers)The AAPS Journal (175 papers)Journal of Pharmaceutical Sciences (172 papers)International Journal of Pharmaceutics (158 papers)
- Partner nations
- United StatesUnited KingdomThailand
In The Last Decade
Center for Drug Evaluation and Research
6.3k papers receiving 232.1k citations
Peers
Comparison fields: 5 of 241
- Pharmaceutical Science 16.7k
- Pharmacology 17.9k
- Statistics and Probability 12.7k
- Oncology 35.3k
- Toxicology 4.4k
Countries citing scholars working at Center for Drug Evaluation and Research
This map shows the geographic impact of research produced by authors working at Center for Drug Evaluation and 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 papers produced at Center for Drug Evaluation and Research with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Center for Drug Evaluation and Research more than expected).
Fields of papers published by authors at Center for Drug Evaluation and Research
This network shows the impact of papers affiliated with Center for Drug Evaluation and Research at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Center for Drug Evaluation and Research at the time of their publication.
About Center for Drug Evaluation and Research
In recent decades, authors affiliated with Center for Drug Evaluation and Research have published 7.3k papers, which have received a total of 271.4k indexed citations . Scholars at this organization have produced 810 papers in Statistics and Probability, 496 papers in Pharmaceutical Science, 561 papers in Pharmacology, 210 papers in Toxicology and 814 papers in Pediatrics, Perinatology and Child Health on the topics of Statistical Methods in Clinical Trials (747 papers), Pharmaceutical studies and practices (592 papers), Health Systems, Economic Evaluations, Quality of Life (452 papers), Pharmacogenetics and Drug Metabolism (407 papers), Drug Solubulity and Delivery Systems (355 papers), Biosimilars and Bioanalytical Methods (322 papers), Computational Drug Discovery Methods (295 papers) and Pharmaceutical Economics and Policy (278 papers). Their work is cited by papers focused on Pharmaceutical Science (16.7k citations), Pharmacology (17.9k citations), Statistics and Probability (12.7k citations), Oncology (35.3k citations) and Toxicology (4.4k citations). Authors at Center for Drug Evaluation and Research collaborate with scholars in United States, United Kingdom and Thailand and have published in prestigious journals including Clinical Pharmacology & Therapeutics, The Journal of Clinical Pharmacology, The AAPS Journal, Journal of Pharmaceutical Sciences and International Journal of Pharmaceutics. Some of Center for Drug Evaluation and Research's most productive authors include Richard Pazdur, Janet Woodcock, Vinod P. Shah, Amy S. Rosenberg, Martin H. Cohen, Patricia Keegan, Mansoor A. Khan, Lawrence X. Yu, Shiew‐Mei Huang and David J. Graham.
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.