DNMT1 and DNMT3b cooperate to silence genes in human cancer cells

979 indexed citations
published 2002

Countries where authors are citing DNMT1 and DNMT3b cooperate to silence genes in human cancer cells

Specialization
Citations

This map shows the geographic impact of DNMT1 and DNMT3b cooperate to silence genes in human cancer cells. 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 DNMT1 and DNMT3b cooperate to silence genes in human cancer cells with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites DNMT1 and DNMT3b cooperate to silence genes in human cancer cells more than expected).

Fields of papers citing DNMT1 and DNMT3b cooperate to silence genes in human cancer cells

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of DNMT1 and DNMT3b cooperate to silence genes in human cancer cells. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the DNMT1 and DNMT3b cooperate to silence genes in human cancer cells.

About DNMT1 and DNMT3b cooperate to silence genes in human cancer cells

This paper, published in 2002, received 979 indexed citations . Written by Ina Rhee, Kurtis E. Bachman, Ben Ho Park, Kam-Wing Jair, Ray-Whay Chiu Yen, Kornel E. Schuebel, Hengmi Cui, Andrew P. Feinberg, Christoph Lengauer and Kenneth W. Kinzler covering the research area of Molecular Biology and Genetics. It is primarily cited by scholars working on Molecular Biology (903 citations), Genetics (152 citations) and Cancer Research (127 citations). Published in Nature.

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/10.1038/416552a.

Explore hit-papers with similar magnitude of impact

Rankless by CCL
2026