Mark J. Hackett

11.7k total citations
104 papers, 2.2k citations indexed

About

Mark J. Hackett is a scholar working on Molecular Biology, Nutrition and Dietetics and Biophysics. According to data from OpenAlex, Mark J. Hackett has authored 104 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 24 papers in Nutrition and Dietetics and 14 papers in Biophysics. Recurrent topics in Mark J. Hackett's work include Trace Elements in Health (19 papers), Spectroscopy Techniques in Biomedical and Chemical Research (14 papers) and Heavy Metal Exposure and Toxicity (10 papers). Mark J. Hackett is often cited by papers focused on Trace Elements in Health (19 papers), Spectroscopy Techniques in Biomedical and Chemical Research (14 papers) and Heavy Metal Exposure and Toxicity (10 papers). Mark J. Hackett collaborates with scholars based in Australia, Canada and United States. Mark J. Hackett's co-authors include Graham N. George, Ingrid J. Pickering, M. Jake Pushie, Małgorzata Korbas, Phyllis G. Paterson, Peter A. Lay, Sally Caine, Virginie Lam, Jade B. Aitken and Michael Kelly and has published in prestigious journals such as Chemical Reviews, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Mark J. Hackett

98 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark J. Hackett Australia 27 502 429 304 250 225 104 2.2k
Asunción Carmona France 23 243 0.5× 581 1.4× 36 0.1× 381 1.5× 370 1.6× 55 1.8k
Federica I. Wolf Italy 35 995 2.0× 1.3k 3.1× 358 1.2× 24 0.1× 164 0.7× 87 3.9k
Jaromír Gumulec Czechia 29 1.2k 2.4× 808 1.9× 161 0.5× 16 0.1× 578 2.6× 99 3.5k
Ruth Edge United Kingdom 33 893 1.8× 329 0.8× 80 0.3× 20 0.1× 57 0.3× 128 4.0k
Laurance D. Hall United Kingdom 35 862 1.7× 151 0.4× 271 0.9× 61 0.2× 25 0.1× 238 5.0k
Hideyuki J. Majima Japan 26 1.8k 3.5× 207 0.5× 128 0.4× 127 0.5× 154 0.7× 103 4.0k
Hiroyuki Hashimoto Japan 22 595 1.2× 145 0.3× 346 1.1× 24 0.1× 28 0.1× 88 1.8k
Haibo Jiang Australia 31 766 1.5× 72 0.2× 85 0.3× 19 0.1× 80 0.4× 76 2.2k
Xiaoan Zhang China 24 435 0.9× 238 0.6× 131 0.4× 92 0.4× 119 0.5× 110 2.3k
Michael Jay United States 31 792 1.6× 114 0.3× 22 0.1× 96 0.4× 53 0.2× 152 3.5k

Countries citing papers authored by Mark J. Hackett

Since Specialization
Citations

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

Fields of papers citing papers by Mark J. Hackett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark J. Hackett. 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 Mark J. Hackett. The network helps show where Mark J. Hackett may publish in the future.

Co-authorship network of co-authors of Mark J. Hackett

This figure shows the co-authorship network connecting the top 25 collaborators of Mark J. Hackett. A scholar is included among the top collaborators of Mark J. Hackett 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 Mark J. Hackett. Mark J. Hackett 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
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Hackett, Mark J., et al.. (2025). A Domain-Adaptive Deep Learning Approach for Microplastic Classification. SHILAP Revista de lepidopterología. 4(4). 69–69. 2 indexed citations
3.
Ellison, Gaewyn, Virginie Lam, Ryusuke Takechi, et al.. (2025). Subventricular Accumulation of Cu in the Aging Mouse Brain Does Not Associate with Anticipated Increases in Markers of Oxidative Stress. ACS Chemical Neuroscience. 16(3). 292–302. 1 indexed citations
4.
Ellison, Gaewyn, et al.. (2024). The application of X-ray fluorescence microscopy and micro-XANES spectroscopy to study neuro-metallomics. Journal of Inorganic Biochemistry. 262. 112744–112744. 2 indexed citations
5.
Ellison, Gaewyn, Shane M. Hickey, Frederick M. Pfeffer, et al.. (2024). Fluorescent probes for neuroscience: imaging ex vivo brain tissue sections. The Analyst. 149(18). 4536–4552.
6.
Hackett, Mark J., et al.. (2024). Correlative multimodal optical and X-ray fluorescence imaging of brominated fluorophores. Chemical Communications. 60(68). 9026–9029.
7.
Bader, Christie A., Peter V. Simpson, Stefano Stagni, et al.. (2024). Synthesis and cellular uptake of neutral rhenium(i) morpholine complexes. Dalton Transactions. 53(7). 3407–3413. 2 indexed citations
8.
Williams, Sophie, et al.. (2023). Development of a rapid detection protocol for microplastics using reflectance-FTIR spectroscopic imaging and multivariate classification. Environmental Science Advances. 2(4). 663–674. 15 indexed citations
9.
Moolhuijzen, Paula, Lilian Vincis Pereira Sanglard, David Paterson, et al.. (2023). Spatiotemporal patterns of wheat response toPyrenophora tritici-repentisin asymptomatic regions revealed by transcriptomic and X-ray fluorescence microscopy analyses. Journal of Experimental Botany. 74(15). 4707–4720.
10.
Massi, Massimiliano, et al.. (2022). Luminescent Metal Complexes as Emerging Tools for Lipid Imaging. Topics in Current Chemistry. 380(6). 46–46. 10 indexed citations
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Vongsvivut, Jitraporn, David Pérez-Guaita, Bayden R. Wood, et al.. (2019). Synchrotron macro ATR-FTIR microspectroscopy for high-resolution chemical mapping of single cells. The Analyst. 144(10). 3226–3238. 88 indexed citations
13.
Sylvain, Nicole J., Mark J. Hackett, M. Jake Pushie, et al.. (2018). A comparison of parametric and integrative approaches for X-ray fluorescence analysis applied to a Stroke model. Journal of Synchrotron Radiation. 25(6). 1780–1789. 12 indexed citations
14.
Lam, Virginie, Ryusuke Takechi, Matthew A. Albrecht, et al.. (2018). Longitudinal Performance of Senescence Accelerated Mouse Prone-Strain 8 (SAMP8) Mice in an Olfactory-Visual Water Maze Challenge. Frontiers in Behavioral Neuroscience. 12. 174–174. 6 indexed citations
15.
Vaccaro, Brian J., James F. Holden, Farris L. Poole, et al.. (2017). Biological iron-sulfur storage in a thioferrate-protein nanoparticle. Nature Communications. 8(1). 16110–16110. 21 indexed citations
16.
Williamson, Michael R., Kristen Dietrich, Mark J. Hackett, et al.. (2016). Rehabilitation Augments Hematoma Clearance and Attenuates Oxidative Injury and Ion Dyshomeostasis After Brain Hemorrhage. Stroke. 48(1). 195–203. 35 indexed citations
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George, Graham N., Ingrid J. Pickering, M. Jake Pushie, et al.. (2012). X-ray-induced photo-chemistry and X-ray absorption spectroscopy of biological samples. Journal of Synchrotron Radiation. 19(6). 875–886. 123 indexed citations
20.
Furuya, Kenji, et al.. (1993). Isolation and Identification of a Cardioactive Peptide fromTenebrio molitorandSpodoptera eridania. Biological Chemistry Hoppe-Seyler. 374(7-12). 1065–1074. 32 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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