Shane Blackett

568 total citations
8 papers, 436 citations indexed

About

Shane Blackett is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Artificial Intelligence. According to data from OpenAlex, Shane Blackett has authored 8 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Artificial Intelligence. Recurrent topics in Shane Blackett's work include Genetics, Bioinformatics, and Biomedical Research (2 papers), Hydrology and Sediment Transport Processes (1 paper) and ECG Monitoring and Analysis (1 paper). Shane Blackett is often cited by papers focused on Genetics, Bioinformatics, and Biomedical Research (2 papers), Hydrology and Sediment Transport Processes (1 paper) and ECG Monitoring and Analysis (1 paper). Shane Blackett collaborates with scholars based in New Zealand, United Kingdom and Australia. Shane Blackett's co-authors include Robert J. Davies‐Colley, Laurel Saito, J. Christopher Rutherford, Nicolas P. Smith, David Nordsletten, Michael D. Bentley, Erik L. Ritman, Peter Hunter, Chris P. Bradley and Poul M. F. Nielsen and has published in prestigious journals such as The Lancet Oncology, American Journal of Physiology-Heart and Circulatory Physiology and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.

In The Last Decade

Shane Blackett

8 papers receiving 416 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shane Blackett New Zealand 6 127 98 78 73 54 8 436
Carole Mercier Belgium 10 103 0.8× 107 1.1× 7 0.1× 40 0.5× 35 0.6× 29 369
Kazuya Yoshizawa Japan 11 45 0.4× 15 0.2× 16 0.2× 42 0.6× 33 0.6× 41 345
Lara García-Varela Spain 12 54 0.4× 53 0.5× 47 0.6× 29 0.4× 39 0.7× 60 449
David Martini United States 10 226 1.8× 45 0.5× 20 0.3× 63 0.9× 48 0.9× 14 558
Xingming Liu China 12 132 1.0× 15 0.2× 12 0.2× 80 1.1× 30 0.6× 48 682
Kazutaka Murakami Japan 13 97 0.8× 15 0.2× 12 0.2× 50 0.7× 8 0.1× 46 461
Steven A. Gilbert United States 11 151 1.2× 87 0.9× 16 0.2× 84 1.2× 22 0.4× 22 990
Wentao Yu China 10 221 1.7× 16 0.2× 10 0.1× 49 0.7× 38 0.7× 36 453
M. Antónia Amaral Turkman Portugal 16 66 0.5× 50 0.5× 6 0.1× 26 0.4× 21 0.4× 42 642
Koji Yamamoto Japan 10 26 0.2× 6 0.1× 12 0.2× 36 0.5× 43 0.8× 34 487

Countries citing papers authored by Shane Blackett

Since Specialization
Citations

This map shows the geographic impact of Shane Blackett'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 Shane Blackett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shane Blackett more than expected).

Fields of papers citing papers by Shane Blackett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shane Blackett. 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 Shane Blackett. The network helps show where Shane Blackett may publish in the future.

Co-authorship network of co-authors of Shane Blackett

This figure shows the co-authorship network connecting the top 25 collaborators of Shane Blackett. A scholar is included among the top collaborators of Shane Blackett 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 Shane Blackett. Shane Blackett is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Nielsen, Poul M. F., et al.. (2009). FieldML: concepts and implementation. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 367(1895). 1869–1884. 71 indexed citations
2.
Reynolds, Hayley M., P. Rod Dunbar, Roger F. Uren, et al.. (2007). Three-dimensional visualisation of lymphatic drainage patterns in patients with cutaneous melanoma. The Lancet Oncology. 8(9). 806–812. 39 indexed citations
3.
Nordsletten, David, Shane Blackett, Michael D. Bentley, Erik L. Ritman, & Nicolas P. Smith. (2006). Structural morphology of renal vasculature. American Journal of Physiology-Heart and Circulatory Physiology. 291(1). H296–H309. 128 indexed citations
4.
Blackett, Shane, et al.. (2005). Open Source Software Infrastructure for Computational Biology and Visualization. PubMed. 4. 6079–6080. 8 indexed citations
5.
Blackett, Shane, et al.. (2005). Internet Applications for Computational Biology, the CMISS Web Browser Extension and and Use in Education. PubMed. 32. 849–850. 1 indexed citations
6.
Blackett, Shane, David Bullivant, David Nickerson, & Peter Hunter. (2005). Multi-scale and multi-physics visualization. 136–136. 1 indexed citations
7.
Bullivant, David, et al.. (2002). Modelling and visualising the heart. Computing and Visualization in Science. 4(4). 227–235. 25 indexed citations
8.
Rutherford, J. Christopher, et al.. (1997). Predicting the effects of shade on water temperature in small streams. New Zealand Journal of Marine and Freshwater Research. 31(5). 707–721. 163 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.

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