Cancer Genomics & Proteomics

489 papers and 6.0k indexed citations i.

About

The 489 papers published in Cancer Genomics & Proteomics in the last decades have received a total of 6.0k indexed citations. Papers published in Cancer Genomics & Proteomics usually cover Molecular Biology (294 papers), Cancer Research (182 papers) and Oncology (133 papers) specifically the topics of MicroRNA in disease regulation (57 papers), Cancer-related molecular mechanisms research (51 papers) and Epigenetics and DNA Methylation (49 papers). The most active scholars publishing in Cancer Genomics & Proteomics are Ulrich H. Weidle, Fabian Birzele, Shujun Huang, Yang Wang, Wayne Wenzhong Xu, Rüdiger Rüger, Ioannis Panagopoulos, Sverre Heim, Karam F. A. Soliman and Elizabeth Mazzio.

In The Last Decade

Fields of papers published in Cancer Genomics & Proteomics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Cancer Genomics & Proteomics. 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 Cancer Genomics & Proteomics.

Countries where authors publish in Cancer Genomics & Proteomics

Since Specialization
Citations

This map shows the geographic impact of research published in Cancer Genomics & Proteomics. 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 Cancer Genomics & Proteomics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cancer Genomics & Proteomics 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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2025