The National Cancer Institute: cancer drug discovery and development program.
Impact in
Classified as
- Journal
- PubMed
In The Last Decade
doi.org/w38331724 →Countries where authors are citing The National Cancer Institute: cancer drug discovery and development program.
This map shows the geographic impact of The National Cancer Institute: cancer drug discovery and development program.. 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 National Cancer Institute: cancer drug discovery and development program. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The National Cancer Institute: cancer drug discovery and development program. more than expected).
Fields of papers citing The National Cancer Institute: cancer drug discovery and development program.
This network shows the impact of The National Cancer Institute: cancer drug discovery and development program.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the The National Cancer Institute: cancer drug discovery and development program..
About The National Cancer Institute: cancer drug discovery and development program.
This paper, published in 1992, received 657 indexed citations . Written by Michael R. Grever, Saul A. Schepartz and B A Chabner covering the research area of Molecular Biology and Oncology. It is primarily cited by scholars working on Organic Chemistry (416 citations), Molecular Biology (293 citations), Pharmacology (101 citations), Toxicology (93 citations) and Oncology (84 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/w38331724.