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.
Critical stripping current leads to dendrite formation on plating in lithium anode solid electrolyte cells
2019827 citationsJitti Kasemchainan, Dominic Spencer Jolly et al.profile →
Visualizing plating-induced cracking in lithium-anode solid-electrolyte cells
2021365 citationsZiyang Ning, Dominic Spencer Jolly et al.profile →
Decoupling, quantifying, and restoring aging-induced Zn-anode losses in rechargeable aqueous zinc batteries
2023138 citationsBingkun Hu, Ziyang Ning et al.profile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
citations ·
hero ref
This map shows the geographic impact of T.J. Marrow'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 T.J. Marrow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.J. Marrow more than expected).
This network shows the impact of papers produced by T.J. Marrow. 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 T.J. Marrow. The network helps show where T.J. Marrow may publish in the future.
Co-authorship network of co-authors of T.J. Marrow
This figure shows the co-authorship network connecting the top 25 collaborators of T.J. Marrow.
A scholar is included among the top collaborators of T.J. Marrow 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 T.J. Marrow. T.J. Marrow is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Becker, Thorsten Hermann & T.J. Marrow. (2013). Modelling Damage in Nuclear Graphite. Gruppo Italiano Frattura Digital Repository (Gruppo Italiano Frattura).3 indexed citations
14.
Yang, Zhenjun, Wenyuan Ren, Mahmoud Mostafavi, Samuel McDonald, & T.J. Marrow. (2013). Characterisation of 3d fracture evolution in concrete using in-situ X-ray computed tomography testing and digital volume correlation. Research Explorer (The University of Manchester).28 indexed citations
15.
Ludwig, Wolfgang, A. R. King, Michael Herbig, et al.. (2011). The three-dimensional microstructure of polycrystalline materials unravelled by synchrotron light. Oxford University Research Archive (ORA) (University of Oxford).1 indexed citations
16.
Khan, Abid Ali & T.J. Marrow. (2009). In-situ Observation of Damage Mechanisms by Digital Image Correlation during Tension and Low Cycle Fatigue of Magnesium alloys. Gruppo Italiano Frattura Digital Repository (Gruppo Italiano Frattura).1 indexed citations
17.
Duff, Jonathan, et al.. (2009). Imaging Autoclave Development for In-Situ Optical Measurement of High Temperature Aqueous Corrosion Processes. Gruppo Italiano Frattura Digital Repository (Gruppo Italiano Frattura).3 indexed citations
18.
Berre, Carole Le, Alex Fok, Paul Mummery, et al.. (2008). Failure Analysis of the Effects of Porosity in Thermally Oxidised Nuclear Graphite Using Finite Element Modelling. Oxford University Research Archive (ORA) (University of Oxford).1 indexed citations
19.
Jivkov, Andrey P., Nicholas Stevens, & T.J. Marrow. (2005). The roles of microstructure and mechanics in intergranular stress corrosion cracking. Research Explorer (The University of Manchester).1 indexed citations
20.
Marrow, T.J.. (2001). Understanding the jominy end quench test. Oxford University Research Archive (ORA) (University of Oxford). 68(9).3 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.