Mammary cancer prevention by conjugated dienoic derivative of linoleic acid.
Impact in
- Biochemistry 230
Classified as
- Authors
- C IpMichael W. Pariza
- Journal
- PubMed
In The Last Decade
doi.org/w79924602 →Countries where authors are citing Mammary cancer prevention by conjugated dienoic derivative of linoleic acid.
This map shows the geographic impact of Mammary cancer prevention by conjugated dienoic derivative of linoleic acid.. 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 Mammary cancer prevention by conjugated dienoic derivative of linoleic acid. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mammary cancer prevention by conjugated dienoic derivative of linoleic acid. more than expected).
Fields of papers citing Mammary cancer prevention by conjugated dienoic derivative of linoleic acid.
This network shows the impact of Mammary cancer prevention by conjugated dienoic derivative of linoleic acid.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Mammary cancer prevention by conjugated dienoic derivative of linoleic acid..
About Mammary cancer prevention by conjugated dienoic derivative of linoleic acid.
This paper, published in 1991, received 660 indexed citations . Written by C Ip and Michael W. Pariza covering the research area of Cancer Research and Nutrition and Dietetics. It is primarily cited by scholars working on Nutrition and Dietetics (536 citations), Biochemistry (230 citations), Molecular Biology (150 citations), Animal Science and Zoology (110 citations) and Surgery (99 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/w79924602.