Discovery and ranking of the most robust prognostic biomarkers in serous ovarian cancer
Impact in
Classified as
- Authors
- Balázs Győrffy
- Journal
- GeroScience
In The Last Decade
doi.org/10.1007/s11357-023-00742-4 →Countries where authors are citing Discovery and ranking of the most robust prognostic biomarkers in serous ovarian cancer
This map shows the geographic impact of Discovery and ranking of the most robust prognostic biomarkers in serous ovarian cancer. 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 Discovery and ranking of the most robust prognostic biomarkers in serous ovarian cancer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Discovery and ranking of the most robust prognostic biomarkers in serous ovarian cancer more than expected).
Fields of papers citing Discovery and ranking of the most robust prognostic biomarkers in serous ovarian cancer
This network shows the impact of Discovery and ranking of the most robust prognostic biomarkers in serous ovarian cancer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Discovery and ranking of the most robust prognostic biomarkers in serous ovarian cancer.
About Discovery and ranking of the most robust prognostic biomarkers in serous ovarian cancer
This paper, published in 2023, received 255 indexed citations . Written by Balázs Győrffy covering the research area of Cancer Research, Pulmonary and Respiratory Medicine and Reproductive Medicine. It is primarily cited by scholars working on Molecular Biology (135 citations), Cancer Research (69 citations), Oncology (56 citations), Pulmonary and Respiratory Medicine (30 citations) and Immunology (29 citations). Published in GeroScience.
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/10.1007/s11357-023-00742-4.