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.
Changing Illness Perceptions After Myocardial Infarction: An Early Intervention Randomized Controlled Trial
This map shows the geographic impact of Chris Ellis'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 Chris Ellis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Ellis more than expected).
This network shows the impact of papers produced by Chris Ellis. 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 Chris Ellis. The network helps show where Chris Ellis may publish in the future.
Co-authorship network of co-authors of Chris Ellis
This figure shows the co-authorship network connecting the top 25 collaborators of Chris Ellis.
A scholar is included among the top collaborators of Chris Ellis 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 Chris Ellis. Chris Ellis is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Elliott, John, Tom Kai Ming Wang, Greg Gamble, et al.. (2017). A decade of improvement in the management of New Zealand ST-elevation myocardial infarction (STEMI) patients: results from the New Zealand Acute Coronary Syndrome (ACS) Audit Group national audits of 2002, 2007 and 2012.. PubMed. 130(1453). 17–28.3 indexed citations
Ellis, Chris, Greg Gamble, Andrew Hamer, et al.. (2010). Patients admitted with an acute coronary syndrome (ACS) in New Zealand in 2007: results of a second comprehensive nationwide audit and a comparison with the first audit from 2002.. PubMed. 123(1319). 25–43.12 indexed citations
12.
Ellis, Chris, Gerard Devlin, John F. Elliott, et al.. (2010). ACS patients in New Zealand experience significant delays to access cardiac investigations and revascularisation treatment especially when admitted to non-interventional centres: results of the second comprehensive national audit of ACS patients.. PubMed. 123(1319). 44–60.12 indexed citations
13.
Ellis, Chris. (2008). A society in transition.. PubMed. 98(7). 529–529.2 indexed citations
14.
White, Harvey D. & Chris Ellis. (2005). PHARMAC and lack of funding for clopidogrel.. PubMed. 119(1228). U1808–U1808.2 indexed citations
15.
Ellis, Chris, John F. Elliott, Michael Williams, et al.. (2004). Acute Coronary Syndrome patients in New Zealand receive less invasive management when admitted to hospitals without invasive facilities.. PubMed. 117(1197). U954–U954.21 indexed citations
16.
Ellis, Chris. (2004). Neurolinguisic programming in the medical consultation.. PubMed. 94(9). 748–9.1 indexed citations
Ellis, Chris, et al.. (1991). Nettling: an Overview of an Early Archaic "Kirk Corner-notched Cluster" Site in Southwestern Ontario. 15. 1–34.7 indexed citations
20.
Ellis, Chris & David Deller. (1988). Some Distinctive Paleoindian Tool Types Form the Lower Great Lakes Region. Midcontinental Journal of Archaeology. 13(2). 111–158.11 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.