The HER‐2/ neu Oncogene in Breast Cancer: Prognostic Factor, Predictive Factor, and Target for Therapy

799 indexed citations

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This paper, published in 1998, received 799 indexed citations. Written by Jeffrey S. Ross and Jonathan A. Fletcher covering the research area of Oncology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. It is primarily cited by scholars working on Oncology (581 citations), Radiology, Nuclear Medicine and Imaging (355 citations) and Molecular Biology (317 citations). Published in Stem Cells.

Countries where authors are citing The HER‐2/ neu Oncogene in Breast Cancer: Prognostic Factor, Predictive Factor, and Target for Therapy

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This map shows the geographic impact of The HER‐2/ neu Oncogene in Breast Cancer: Prognostic Factor, Predictive Factor, and Target for Therapy. 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 The HER‐2/ neu Oncogene in Breast Cancer: Prognostic Factor, Predictive Factor, and Target for Therapy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The HER‐2/ neu Oncogene in Breast Cancer: Prognostic Factor, Predictive Factor, and Target for Therapy more than expected).

Fields of papers citing The HER‐2/ neu Oncogene in Breast Cancer: Prognostic Factor, Predictive Factor, and Target for Therapy

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of The HER‐2/ neu Oncogene in Breast Cancer: Prognostic Factor, Predictive Factor, and Target for Therapy. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the The HER‐2/ neu Oncogene in Breast Cancer: Prognostic Factor, Predictive Factor, and Target for Therapy.

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/10.1002/stem.160413.

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