Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
A prospective randomized study of various irradiation doses and fractionation schedules in the treatment of inoperable non-oat-cell carcinoma of the lung. Preliminary report by the radiation therapy oncology group
1980343 citationsCarlos A. Pérez, K. Stanley et al.Cancerprofile →
Impact of irradiation technique and tumor extent in tumor control and survival of patients with unresectable non-oat cell carcinoma of the lung. Report by the radiation therapy oncology group
1982322 citationsCarlos A. Perez, Kenneth Stanley et al.Cancerprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Gabrielle Brown
Since
Specialization
Citations
This map shows the geographic impact of Gabrielle Brown's research. 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 Gabrielle Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabrielle Brown more than expected).
This network shows the impact of papers produced by Gabrielle Brown. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gabrielle Brown. The network helps show where Gabrielle Brown may publish in the future.
Co-authorship network of co-authors of Gabrielle Brown
This figure shows the co-authorship network connecting the top 25 collaborators of Gabrielle Brown.
A scholar is included among the top collaborators of Gabrielle Brown based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Gabrielle Brown. Gabrielle Brown is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Clarke, Laurence P., G. James Blaine, Kunio Doi, et al.. (1993). Digital mammography, cancer screening: Factors important for image compression. NASA Technical Reports Server (NASA). 3191. 63.3 indexed citations
Perez, Carlos A., Kenneth Stanley, W. F. Hanson, et al.. (1982). Impact of irradiation technique and tumor extent in tumor control and survival of patients with unresectable non-oat cell carcinoma of the lung. Report by the radiation therapy oncology group. Cancer. 50(6). 1091–1099.322 indexed citations breakdown →
12.
Brown, Gabrielle, et al.. (1980). Radiation therapy for carcinoma of the skin of the face and neck. Special considerations.. PubMed. 244(10). 1135–7.14 indexed citations
13.
Perez, Carlos A., K. Stanley, P. Rubin, et al.. (1980). Prospective randomized study of various irradiation doses and fractionation schedules in the treatment of inoperable non-oat-cell carcinoma of the lung. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).10 indexed citations
14.
Pérez, Carlos A., K. Stanley, P. Rubin, et al.. (1980). A prospective randomized study of various irradiation doses and fractionation schedules in the treatment of inoperable non-oat-cell carcinoma of the lung. Preliminary report by the radiation therapy oncology group. Cancer. 45(11). 2744–2753.343 indexed citations breakdown →
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.