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.
cIAP1 and cIAP2 Facilitate Cancer Cell Survival by Functioning as E3 Ligases that Promote RIP1 Ubiquitination
2008874 citationsMathieu J.M. Bertrand, Snezana Milutinovic et al.Molecular Cellprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Stephen J. Morris
Since
Specialization
Citations
This map shows the geographic impact of Stephen J. Morris'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 Stephen J. Morris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen J. Morris more than expected).
Fields of papers citing papers by Stephen J. Morris
This network shows the impact of papers produced by Stephen J. Morris. 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 Stephen J. Morris. The network helps show where Stephen J. Morris may publish in the future.
Co-authorship network of co-authors of Stephen J. Morris
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen J. Morris.
A scholar is included among the top collaborators of Stephen J. Morris 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 Stephen J. Morris. Stephen J. Morris 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.
Morris, Stephen J. & Meng Shi. (2019). Levitation of a non-volatile drop by an evaporating pool: the inverse Leidenfrost effect. APS Division of Fluid Dynamics Meeting Abstracts.1 indexed citations
2.
Morris, Stephen J., et al.. (2015). Human rights for democracies: A provisional assessment of the Australian 'Human Rights (Parliamentary Scrutiny) Act 2011'. 34(1). 7–27.1 indexed citations
3.
Morris, Stephen J., et al.. (2014). On tail formation during gravure printing of sessile drops. Bulletin of the American Physical Society.1 indexed citations
Morris, Stephen J., et al.. (2009). Effects of Stress Concentrations on the Attenuation by Diffusionally-assisted Grain Boundary Sliding. AGUFM. 2009.1 indexed citations
8.
Bertrand, Mathieu J.M., Snezana Milutinovic, Kathleen M. Dickson, et al.. (2008). cIAP1 and cIAP2 Facilitate Cancer Cell Survival by Functioning as E3 Ligases that Promote RIP1 Ubiquitination. Molecular Cell. 30(6). 689–700.874 indexed citations breakdown →
9.
Jackson, Ian, et al.. (2007). A Finite Element Study of Elastically-Accommodated Grain Boundary Sliding. AGU Fall Meeting Abstracts. 2007.1 indexed citations
Richards, Mark, Stephen J. Morris, F. H. Busse, & A. Lenardic. (2003). Towards a Physical Understanding of the Effects of Depth-dependent Rheology on Mantle Convection. AGU Fall Meeting Abstracts. 2003.3 indexed citations
Morris, Stephen J.. (1981). An asymptotic method for determining the transport of heat and matter by creeping flows with strongly variable viscosity; Fluid-dynamic problems motivated by island arc volcanism. PhDT.1 indexed citations
20.
Dowe, Gordon, et al.. (1976). Preparation of ultra pure synaptic vesicles from the electric organ of torpedo marmorata by porous glass bead chromatography and estimation of their acetyl choline content. Experimental Brain Research. 24(5). 19.11 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.