This map shows the geographic impact of Caroline Gaus'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 Caroline Gaus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caroline Gaus more than expected).
This network shows the impact of papers produced by Caroline Gaus. 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 Caroline Gaus. The network helps show where Caroline Gaus may publish in the future.
Co-authorship network of co-authors of Caroline Gaus
This figure shows the co-authorship network connecting the top 25 collaborators of Caroline Gaus.
A scholar is included among the top collaborators of Caroline Gaus 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 Caroline Gaus. Caroline Gaus is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Grant, Sharon, et al.. (2014). Development and validation of a new method to upload polymers with super-hydrophobic contaminants for passive dosing approaches. Queensland's institutional digital repository (The University of Queensland). 76. 1468–1472.1 indexed citations
5.
Camenzuli, Louise, et al.. (2013). Connecting the high field levels of OCDD with historical pesticide use in a rural tropical region. Queensland's institutional digital repository (The University of Queensland). 75. 804–807.
Vetter, Walter, et al.. (2009). Assessing pesticides as a source of dioxins to the Australian environment. Queensland's institutional digital repository (The University of Queensland). 71. 292–297.3 indexed citations
Gaus, Caroline, et al.. (2007). Remediation measures in a residential area highly contaminated with PCDD/PCDF, Arsenic and heavy metals as a result of industrial production in the early 19th century. Queensland's institutional digital repository (The University of Queensland). 69. 857–860.7 indexed citations
Harden, Fiona, Leisa‐Maree Toms, Caroline Gaus, et al.. (2004). Dioxins in the Australian Population: Levels in Blood. Queensland's institutional digital repository (The University of Queensland). 49(2). 1–121.11 indexed citations
Prange, Joelle, et al.. (2002). Vertical distribution of PCDD/FS in forest soil from Queensland, Australia. Queensland's institutional digital repository (The University of Queensland). 59. 251–254.1 indexed citations
15.
Gaus, Caroline, Joelle Prange, Olaf Päpke, Jochen F. Mueller, & R. J. Weber. (2002). An alternative hypothesis to natural PCDD formation. Queensland's institutional digital repository (The University of Queensland). 59. 243–246.2 indexed citations
Mueller, Jochen F., et al.. (2002). PCDD/FS in a historic butter sample from Australia. Queensland's institutional digital repository (The University of Queensland). 57. 233–236.2 indexed citations
Luckas, Bernd, et al.. (2000). Anthropogenic and natural persistent, bioaccumulative organohologen compounds in dugons (Dugon dugon) and a bottlenose dolphin (Tursiops truncatus) from Australia. Queensland's institutional digital repository (The University of Queensland). 46. 310–313.1 indexed citations
20.
Gaus, Caroline, Olaf Päpke, G. J. Brunskill, & Jochen F. Mueller. (2000). Historical PCDD/F Records in dated marine sediment cores from Queensland, Australia. Queensland's institutional digital repository (The University of Queensland). 46. 15–18.2 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.