Intratumor microvessel density as a prognostic factor in cancer.
Impact in
- Cancer Research 247
Classified as
- Authors
- Noel Weidner
- Journal
- PubMed Central
In The Last Decade
doi.org/w5064450 →Countries where authors are citing Intratumor microvessel density as a prognostic factor in cancer.
This map shows the geographic impact of Intratumor microvessel density as a prognostic factor in 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 Intratumor microvessel density as a prognostic factor in cancer. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Intratumor microvessel density as a prognostic factor in cancer. more than expected).
Fields of papers citing Intratumor microvessel density as a prognostic factor in cancer.
This network shows the impact of Intratumor microvessel density as a prognostic factor in cancer.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Intratumor microvessel density as a prognostic factor in cancer..
About Intratumor microvessel density as a prognostic factor in cancer.
This paper, published in 1995, received 759 indexed citations . Written by Noel Weidner covering the research area of Molecular Biology, Immunology and Allergy and Internal Medicine. It is primarily cited by scholars working on Molecular Biology (449 citations), Cancer Research (247 citations), Oncology (188 citations), Pulmonary and Respiratory Medicine (148 citations) and Radiology, Nuclear Medicine and Imaging (138 citations). Published in PubMed Central.
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/w5064450.