A mathematic model for relating the drug sensitivity of tumors to their spontaneous mutation rate.
- Radiology, Nuclear Medicine and Imaging
- Modeling and Simulation
- Computational Theory and Mathematics
- Authors
- Goldie JhColdman Aj
- Journal
- PubMed
In The Last Decade
doi.org/w88996677 →Countries where authors are citing A mathematic model for relating the drug sensitivity of tumors to their spontaneous mutation rate.
This map shows the geographic impact of A mathematic model for relating the drug sensitivity of tumors to their spontaneous mutation rate.. 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 A mathematic model for relating the drug sensitivity of tumors to their spontaneous mutation rate. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A mathematic model for relating the drug sensitivity of tumors to their spontaneous mutation rate. more than expected).
Fields of papers citing A mathematic model for relating the drug sensitivity of tumors to their spontaneous mutation rate.
This network shows the impact of A mathematic model for relating the drug sensitivity of tumors to their spontaneous mutation rate.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the A mathematic model for relating the drug sensitivity of tumors to their spontaneous mutation rate..
About A mathematic model for relating the drug sensitivity of tumors to their spontaneous mutation rate.
This paper, published in 1980, received 1.0k indexed citations . Written by Goldie Jh and Coldman Aj covering the research area of Radiology, Nuclear Medicine and Imaging, Modeling and Simulation and Computational Theory and Mathematics. It is primarily cited by scholars working on Oncology (512 citations), Cancer Research (281 citations) and Pulmonary and Respiratory Medicine (273 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/w88996677.