MDCK (Madin-Darby Canine Kidney) Cells: A Tool for Membrane Permeability Screening
Impact in
- Oncology 267
Classified as
In The Last Decade
doi.org/10.1021/js9803205 →Countries where authors are citing MDCK (Madin-Darby Canine Kidney) Cells: A Tool for Membrane Permeability Screening
This map shows the geographic impact of MDCK (Madin-Darby Canine Kidney) Cells: A Tool for Membrane Permeability Screening. 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 MDCK (Madin-Darby Canine Kidney) Cells: A Tool for Membrane Permeability Screening with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites MDCK (Madin-Darby Canine Kidney) Cells: A Tool for Membrane Permeability Screening more than expected).
Fields of papers citing MDCK (Madin-Darby Canine Kidney) Cells: A Tool for Membrane Permeability Screening
This network shows the impact of MDCK (Madin-Darby Canine Kidney) Cells: A Tool for Membrane Permeability Screening. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the MDCK (Madin-Darby Canine Kidney) Cells: A Tool for Membrane Permeability Screening.
About MDCK (Madin-Darby Canine Kidney) Cells: A Tool for Membrane Permeability Screening
This paper, published in 1999, received 735 indexed citations . Written by Lori H. Takahashi, Jonathan Cheong, Harold E. Selick and Jeffrey Grove covering the research area of Oncology, Pediatrics, Perinatology and Child Health and Pharmaceutical Science. It is primarily cited by scholars working on Oncology (267 citations), Molecular Biology (257 citations), Computational Theory and Mathematics (168 citations), Pharmaceutical Science (134 citations) and Organic Chemistry (101 citations). Published in Journal of Pharmaceutical Sciences.
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/10.1021/js9803205.