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
-
- Statistical Methods in Clinical Trials 809
-
- Drug Solubulity and Delivery Systems 379
- Top scholars
- Richard M. PazdurJanet WoodcockDonald J. SchuirmannAmy S. RosenbergVinod P. ShahPatricia A. KeeganMartin H. CohenMansoor A. Khan
- Journals
- Clinical Pharmacology & Therapeutics (404 papers)Clinical Cancer Research (208 papers)The Journal of Clinical Pharmacology (198 papers)The AAPS Journal (191 papers)Journal of Pharmaceutical Sciences (189 papers)
- Partner nations
- United StatesUnited KingdomThailand
In The Last Decade
Center for Drug Evaluation and Research
6.9k papers receiving 269.2k citations
Peers
Comparison fields: 5 of 242
- Pharmaceutical Science 17.5k
- Pharmacology 19.5k
- Statistics and Probability 14.6k
- Oncology 40.7k
- Toxicology 4.9k
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 7.9k papers, which have received a total of 316.6k indexed citations . Scholars at this organization have produced 872 papers in Statistics and Probability, 531 papers in Pharmaceutical Science, 618 papers in Pharmacology, 223 papers in Toxicology and 882 papers in Pediatrics, Perinatology and Child Health on the topics of Statistical Methods in Clinical Trials (809 papers), Pharmaceutical studies and practices (648 papers), Health Systems, Economic Evaluations, Quality of Life (510 papers), Pharmacogenetics and Drug Metabolism (443 papers), Drug Solubulity and Delivery Systems (379 papers), Biosimilars and Bioanalytical Methods (350 papers), Computational Drug Discovery Methods (322 papers) and Pharmaceutical Economics and Policy (304 papers). Their work is cited by papers focused on Pharmaceutical Science (17.5k citations), Pharmacology (19.5k citations), Statistics and Probability (14.6k citations), Oncology (40.7k citations) and Toxicology (4.9k 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, Clinical Cancer Research, The Journal of Clinical Pharmacology, The AAPS Journal and Journal of Pharmaceutical Sciences. Some of Center for Drug Evaluation and Research's most productive authors include Richard M. Pazdur, Janet Woodcock, Donald J. Schuirmann, Amy S. Rosenberg, Vinod P. Shah, Patricia A. Keegan, Martin H. Cohen, Mansoor A. Khan, Robert Temple and Shiew‐Mei Huang.
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.