The prediction of human pharmacokinetic parameters from preclinical and in vitro metabolism data.
Impact in
- Pharmacology 223
Classified as
- Journal
- PubMed
In The Last Decade
doi.org/w73666205 →Countries where authors are citing The prediction of human pharmacokinetic parameters from preclinical and in vitro metabolism data.
This map shows the geographic impact of The prediction of human pharmacokinetic parameters from preclinical and in vitro metabolism data.. 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 The prediction of human pharmacokinetic parameters from preclinical and in vitro metabolism data. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The prediction of human pharmacokinetic parameters from preclinical and in vitro metabolism data. more than expected).
Fields of papers citing The prediction of human pharmacokinetic parameters from preclinical and in vitro metabolism data.
This network shows the impact of The prediction of human pharmacokinetic parameters from preclinical and in vitro metabolism data.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the The prediction of human pharmacokinetic parameters from preclinical and in vitro metabolism data..
About The prediction of human pharmacokinetic parameters from preclinical and in vitro metabolism data.
This paper, published in 1997, received 506 indexed citations . Written by R. Scott Obach, James G. Baxter, Theodore E. Liston, B. Michael Silber, B. Jones, Fiona Macintyre, David J. Rance and Philip Wastall covering the research area of Pharmacology. It is primarily cited by scholars working on Pharmacology (223 citations), Molecular Biology (158 citations), Oncology (150 citations), Computational Theory and Mathematics (88 citations) and Spectroscopy (54 citations). Published in PubMed.
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.
This paper is also available at doi.org/w73666205.