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.
Cystic Fibrosis Locus Defined by a Genetically Linked Polymorphic DNA Marker
1985356 citationsRobert G. Knowlton, Valerie A. Brown et al.profile →
Countries citing papers authored by Valerie A. Brown
Since
Specialization
Citations
This map shows the geographic impact of Valerie A. 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 Valerie A. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valerie A. Brown more than expected).
Fields of papers citing papers by Valerie A. Brown
This network shows the impact of papers produced by Valerie A. 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 Valerie A. Brown. The network helps show where Valerie A. Brown may publish in the future.
Co-authorship network of co-authors of Valerie A. Brown
This figure shows the co-authorship network connecting the top 25 collaborators of Valerie A. Brown.
A scholar is included among the top collaborators of Valerie A. 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 Valerie A. Brown. Valerie A. 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, Valerie A., et al.. (2015). Transformational learning: Are we all playing in the same 'game'?. ANU Open Research (Australian National University). 3(1). 35–41.10 indexed citations
Brown, Valerie A., et al.. (2013). Breaking the boundaries to knowledge integration: society meets science within knowledge management for development. ANU Open Research (Australian National University). 9(2). 3–9.2 indexed citations
5.
Brown, Valerie A. & J. Andrew Harris. (2013). Transformation science: Seven collective questions for a just and sustainable future.. ANU Open Research (Australian National University). 9(2). 53–66.2 indexed citations
Brown, Valerie A.. (2007). Collective thinking for a connected world: combining knowledges towards whole-of-community change. ANU Open Research (Australian National University).4 indexed citations
11.
Keen, Meg, Valerie A. Brown, & Robert Dyball. (2005). Social Learning in Environmental Management: Towards a Sustainable Future. Medical Entomology and Zoology.350 indexed citations
12.
Brown, Valerie A., et al.. (2003). Connecting the Cultures in Sustainability Action Research. ANU Open Research (Australian National University).1 indexed citations
13.
Brown, Valerie A.. (2001). Thinking Globally and Acting Locally: Climate Change and Environmental Health Practice - a Discussion Paper. Environmental Health. 1(4). 17.1 indexed citations
Kazazian, H H, Stuart H. Orkin, C D Boehm, et al.. (1986). Characterization of a spontaneous mutation to a beta-thalassemia allele.. PubMed. 38(6). 860–7.41 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.