Matthew Mold

1.3k total citations
29 papers, 942 citations indexed

About

Matthew Mold is a scholar working on Plant Science, Physiology and Nutrition and Dietetics. According to data from OpenAlex, Matthew Mold has authored 29 papers receiving a total of 942 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Plant Science, 13 papers in Physiology and 13 papers in Nutrition and Dietetics. Recurrent topics in Matthew Mold's work include Aluminum toxicity and tolerance in plants and animals (19 papers), Alzheimer's disease research and treatments (13 papers) and Trace Elements in Health (12 papers). Matthew Mold is often cited by papers focused on Aluminum toxicity and tolerance in plants and animals (19 papers), Alzheimer's disease research and treatments (13 papers) and Trace Elements in Health (12 papers). Matthew Mold collaborates with scholars based in United Kingdom, Spain and United States. Matthew Mold's co-authors include Christopher Exley, Andrew King, Caroline Linhart, Håkan Eriksson, Anna Darabi, Peter Siesjö, Jean-Philippe Klein, Lionel Mery, A.K. Shrive and Emily House and has published in prestigious journals such as Scientific Reports, Analytica Chimica Acta and International Journal of Environmental Research and Public Health.

In The Last Decade

Matthew Mold

29 papers receiving 921 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Mold United Kingdom 18 338 247 242 206 160 29 942
Ning Tang China 23 166 0.5× 197 0.8× 268 1.1× 143 0.7× 406 2.5× 92 1.4k
J. Zídková Czechia 14 188 0.6× 92 0.4× 517 2.1× 123 0.6× 227 1.4× 39 1.1k
In Soon Choi South Korea 23 182 0.5× 150 0.6× 259 1.1× 41 0.2× 631 3.9× 84 1.5k
Zhi Huang China 17 172 0.5× 86 0.3× 771 3.2× 189 0.9× 410 2.6× 38 1.6k
Tulsidas G. Shrivastav India 24 173 0.5× 73 0.3× 74 0.3× 99 0.5× 706 4.4× 82 2.2k
Wenyi Zhang China 22 160 0.5× 128 0.5× 227 0.9× 46 0.2× 396 2.5× 51 1.4k
Pierpaolo Aimola Italy 15 147 0.4× 69 0.3× 66 0.3× 103 0.5× 281 1.8× 36 907
Wenqing Lai China 20 79 0.2× 81 0.3× 142 0.6× 186 0.9× 316 2.0× 49 1.2k
Simon A.B. Knight United States 25 279 0.8× 52 0.2× 541 2.2× 177 0.9× 1.0k 6.4× 42 2.0k

Countries citing papers authored by Matthew Mold

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Mold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Mold

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Mold. A scholar is included among the top collaborators of Matthew Mold 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 Matthew Mold. Matthew Mold 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.
Mold, Matthew & Christopher Exley. (2022). Aluminium co-localises with Biondi ring tangles in Parkinson’s disease and epilepsy. Scientific Reports. 12(1). 1465–1465. 7 indexed citations
2.
Mold, Matthew, et al.. (2021). Aluminum and Tau in Neurofibrillary Tangles in Familial Alzheimer’s Disease. Journal of Alzheimer s Disease Reports. 5(1). 283–294. 26 indexed citations
3.
Exley, Christopher & Matthew Mold. (2020). Imaging of aluminium and amyloid β in neurodegenerative disease. Heliyon. 6(4). e03839–e03839. 7 indexed citations
4.
Mold, Matthew, et al.. (2020). Aluminum and Amyloid-β in Familial Alzheimer’s Disease. Journal of Alzheimer s Disease. 73(4). 1627–1635. 57 indexed citations
5.
Mold, Matthew, et al.. (2020). Aluminum and Neurofibrillary Tangle Co-Localization in Familial Alzheimer’s Disease and Related Neurological Disorders. Journal of Alzheimer s Disease. 78(1). 139–149. 22 indexed citations
6.
Asín, Javier, Damián de Andrés, Marta Pérez, et al.. (2019). Detection of aluminum in lumbar spinal cord of sheep subcutaneously inoculated with aluminum-hydroxide containing products. Journal of Inorganic Biochemistry. 204. 110871–110871. 11 indexed citations
7.
Exley, Christopher & Matthew Mold. (2019). Aluminium in human brain tissue: how much is too much?. JBIC Journal of Biological Inorganic Chemistry. 24(8). 1279–1282. 52 indexed citations
8.
Mold, Matthew, et al.. (2019). The interaction of aluminium-based adjuvants with THP-1 macrophages in vitro: Implications for cellular survival and systemic translocation. Journal of Inorganic Biochemistry. 203. 110915–110915. 7 indexed citations
9.
Mold, Matthew, et al.. (2019). Unequivocal imaging of aluminium in human cells and tissues by an improved method using morin. Histochemistry and Cell Biology. 152(6). 453–463. 8 indexed citations
10.
Mendecki, Lukasz, et al.. (2019). Self-plasticized, lumogallion-based fluorescent optical sensor for the determination of aluminium (III) with ultra-low detection limits. Analytica Chimica Acta. 1101. 141–148. 12 indexed citations
11.
Mold, Matthew, et al.. (2018). Intracellular tracing of amyloid vaccines through direct fluorescent labelling. Scientific Reports. 8(1). 2437–2437. 7 indexed citations
12.
Mold, Matthew, et al.. (2017). From Stock Bottle to Vaccine: Elucidating the Particle Size Distributions of Aluminum Adjuvants Using Dynamic Light Scattering. Frontiers in Chemistry. 4. 48–48. 23 indexed citations
13.
Mold, Matthew, et al.. (2016). Insight into the cellular fate and toxicity of aluminium adjuvants used in clinically approved human vaccinations. Scientific Reports. 6(1). 31578–31578. 73 indexed citations
14.
Svensson, Andreas, et al.. (2015). Al adjuvants can be tracked in viable cells by lumogallion staining. Journal of Immunological Methods. 422. 87–94. 20 indexed citations
15.
Exley, Christopher & Matthew Mold. (2014). The binding, transport and fate of aluminium in biological cells. Journal of Trace Elements in Medicine and Biology. 30. 90–95. 84 indexed citations
16.
Klein, Jean-Philippe, et al.. (2014). Aluminum content of human semen: Implications for semen quality. Reproductive Toxicology. 50. 43–48. 39 indexed citations
17.
Mold, Matthew, et al.. (2014). Unequivocal identification of intracellular aluminium adjuvant in a monocytic THP-1 cell line. Scientific Reports. 4(1). 6287–6287. 45 indexed citations
18.
Mold, Matthew, et al.. (2013). Copper prevents amyloid-β1–42 from forming amyloid fibrils under near-physiological conditions in vitro. Scientific Reports. 3(1). 1256–1256. 86 indexed citations
19.
Mold, Matthew, A.K. Shrive, & Christopher Exley. (2012). Serum Amyloid P Component Accelerates the Formation and Enhances the Stability of Amyloid Fibrils in a Physiologically Significant Under-Saturated Solution of Amyloid-β42. Journal of Alzheimer s Disease. 29(4). 875–881. 23 indexed citations
20.
House, Emily, et al.. (2009). Copper Abolishes the β-Sheet Secondary Structure of Preformed Amyloid Fibrils of Amyloid-β42. Journal of Alzheimer s Disease. 18(4). 811–817. 41 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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