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.
Role of the T cell in the genesis of angiotensin II–induced hypertension and vascular dysfunction
20071.4k citationsTomasz J. Guzik, Kathryn Brown et al.The Journal of Experimental Medicineprofile →
A type VII myosin encoded by the mouse deafness gene shaker-1
1995533 citationsFaith Gibson, James Walsh et al.Natureprofile →
This map shows the geographic impact of Kathryn 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 Kathryn Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathryn Brown more than expected).
This network shows the impact of papers produced by Kathryn 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 Kathryn Brown. The network helps show where Kathryn Brown may publish in the future.
Co-authorship network of co-authors of Kathryn Brown
This figure shows the co-authorship network connecting the top 25 collaborators of Kathryn Brown.
A scholar is included among the top collaborators of Kathryn 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 Kathryn Brown. Kathryn Brown is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Brown, Kathryn. (2017). Repurposing Old Drugs for New Uses. Digital Commons-DePaul (DePaul University). 28(1). 1.2 indexed citations
Thress, Kenneth S., Joseph Geradts, Martin Schüler, et al.. (2015). Design, execution, and preliminary biomarker results from paired tumor biopsy cohorts of the AZD9291 AURA trial. Journal of Thoracic Oncology.1 indexed citations
Brown, Kathryn. (2014). Interactive contemporary art : participation in practice. Data Archiving and Networked Services (DANS).2 indexed citations
7.
Guzik, Tomasz J., Kathryn Brown, Louise McCann, et al.. (2007). Role of the T cell in the genesis of angiotensin II–induced hypertension and vascular dysfunction. The Journal of Experimental Medicine. 204(10). 2449–2460.1376 indexed citations breakdown →
Smith, C.A., Alessio Pollice, Ling Gu, et al.. (2000). Correlations among p53, Her-2/neu, and ras overexpression and aneuploidy by multiparameter flow cytometry in human breast cancer: evidence for a common phenotypic evolutionary pattern in infiltrating ductal carcinomas.. PubMed. 6(1). 112–26.41 indexed citations
13.
Onyx, Jenny & Kathryn Brown. (1999). Social capital and seniors networks in a multicultural context. 5(2). 57.1 indexed citations
14.
Shackney, Stanley E., Alessio Pollice, C.A. Smith, et al.. (1998). Intracellular coexpression of epidermal growth factor receptor, Her-2/neu, and p21ras in human breast cancers: evidence for the existence of distinctive patterns of genetic evolution that are common to tumors from different patients.. PubMed. 4(4). 913–28.23 indexed citations
Gibson, Faith, James Walsh, Philomena Mburu, et al.. (1995). A type VII myosin encoded by the mouse deafness gene shaker-1. Nature. 374(6517). 62–64.533 indexed citations breakdown →
18.
Brown, Kathryn, Andrew B. Nobel, & A.F. Markham. (1994). Autozygosity mapping of autosomal recessive non-syndromic sensorineural hearing loss (ARNSSNHL). The American Journal of Human Genetics. 55.1 indexed citations
Rinchik, Eugene M., Terry Magnuson, Gavin Kelsey, et al.. (1992). Mouse Chromosome 7. Mammalian Genome. 3(S1). S104–S120.50 indexed citations
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.