Molecular Carcinogenesis

4.1k papers and 115.2k indexed citations
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About

The 4.1k papers published in Molecular Carcinogenesis in the last decades have received a total of 115.2k indexed citations. Papers published in Molecular Carcinogenesis usually cover Molecular Biology (2.9k papers), Oncology (1.3k papers) and Cancer Research (1.2k papers) specifically the topics of Cancer-related Molecular Pathways (587 papers), Epigenetics and DNA Methylation (380 papers) and RNA modifications and cancer (377 papers). The most active scholars publishing in Molecular Carcinogenesis are Ah‐Ng Tony Kong, Rajesh Agarwal, Wenge Li, Zigang Dong, Lars H. Breimer, Jill C. Pelling, John DiGiovanni, Vincent J. Wacher, Leslie Z. Benet and Chi‐Yuan Wu.

In The Last Decade

Molecular Carcinogenesis

4.0k papers receiving 108.1k citations

Fields of papers published in Molecular Carcinogenesis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Molecular Carcinogenesis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Molecular Carcinogenesis.

Countries where authors publish in Molecular Carcinogenesis

Since Specialization
Citations

This map shows the geographic impact of research published in Molecular Carcinogenesis. 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 papers published in Molecular Carcinogenesis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Molecular Carcinogenesis more than expected).

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.

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