Database of p53 gene somatic mutations in human tumors and cell lines.

727 indexed citations

Abstract

loading...

About

This paper, published in 1994, received 727 indexed citations. Written by Monica Hollstein, Kevin P. Rice, Marc S. Greenblatt, Thierry Soussi, Rainer Fuchs, Thérese Sørlie, Eivind Hovig, Birgitte Smith‐Sørensen, Ruggero Montesano and C C Harris covering the research area of Oncology and Molecular Biology. It is primarily cited by scholars working on Oncology (529 citations), Molecular Biology (504 citations) and Cancer Research (149 citations). Published in PubMed.

In The Last Decade

doi.org/w80375147 →

Countries where authors are citing Database of p53 gene somatic mutations in human tumors and cell lines.

Specialization
Citations

This map shows the geographic impact of Database of p53 gene somatic mutations in human tumors and cell lines.. 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 Database of p53 gene somatic mutations in human tumors and cell lines. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Database of p53 gene somatic mutations in human tumors and cell lines. more than expected).

Fields of papers citing Database of p53 gene somatic mutations in human tumors and cell lines.

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Database of p53 gene somatic mutations in human tumors and cell lines.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Database of p53 gene somatic mutations in human tumors and cell lines..

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/w80375147.

Explore hit-papers with similar magnitude of impact

Rankless by CCL
2026