Matiss Ozols

550 total citations
17 papers, 224 citations indexed

About

Matiss Ozols is a scholar working on Molecular Biology, Spectroscopy and Dermatology. According to data from OpenAlex, Matiss Ozols has authored 17 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Spectroscopy and 4 papers in Dermatology. Recurrent topics in Matiss Ozols's work include Advanced Proteomics Techniques and Applications (5 papers), Skin Protection and Aging (4 papers) and Protease and Inhibitor Mechanisms (4 papers). Matiss Ozols is often cited by papers focused on Advanced Proteomics Techniques and Applications (5 papers), Skin Protection and Aging (4 papers) and Protease and Inhibitor Mechanisms (4 papers). Matiss Ozols collaborates with scholars based in United Kingdom, Germany and China. Matiss Ozols's co-authors include Michael J. Sherratt, Mike Bell, Alexander Eckersley, Eleanor Bradley, Andrew Gilmore, Laurent Debelle, C.E.M. Griffiths, Rachel Watson, ronan.ocualain not provided and David Knight and has published in prestigious journals such as SHILAP Revista de lepidopterología, Advanced Drug Delivery Reviews and Scientific Reports.

In The Last Decade

Matiss Ozols

15 papers receiving 219 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matiss Ozols United Kingdom 9 67 48 39 30 28 17 224
Risto Kajanne Finland 3 88 1.3× 49 1.0× 14 0.4× 10 0.3× 15 0.5× 4 174
Stine Buch Thorsen Denmark 8 202 3.0× 160 3.3× 31 0.8× 3 0.1× 17 0.6× 10 341
Allison L. Isola United States 6 238 3.6× 119 2.5× 4 0.1× 5 0.2× 9 0.3× 8 325
Angelika Danielsson Sweden 8 106 1.6× 16 0.3× 15 0.4× 6 0.2× 3 0.1× 9 235
Manni Luthra‐Guptasarma India 10 121 1.8× 15 0.3× 7 0.2× 7 0.2× 36 1.3× 37 297
Preeti Kumari Chaudhary South Korea 7 126 1.9× 30 0.6× 6 0.2× 5 0.2× 6 0.2× 18 264
Ming Xia China 10 167 2.5× 90 1.9× 3 0.1× 16 0.5× 10 0.4× 28 292
Weihan Yang China 12 223 3.3× 108 2.3× 10 0.3× 11 0.4× 3 0.1× 20 330
Yan‐Li Li China 10 138 2.1× 27 0.6× 25 0.6× 4 0.1× 33 1.2× 22 335
Changwen Deng China 7 78 1.2× 28 0.6× 3 0.1× 15 0.5× 6 0.2× 14 305

Countries citing papers authored by Matiss Ozols

Since Specialization
Citations

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

Fields of papers citing papers by Matiss Ozols

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matiss Ozols

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

All Works

17 of 17 papers shown
1.
Brand, Stephan, Sara Kirkham, Christopher Jagger, et al.. (2025). Lung basement membranes are compositionally and structurally altered following resolution of influenza infection. Mucosal Immunology. 19(1). 1599–1612.
2.
Harris, Barbara, Matiss Ozols, Michelle Strickland, et al.. (2025). OP03 Mapping the observable IBDverse: Using massive-scale single-cell RNA sequencing of gut and blood samples to nominate genes, cell types and pathways driving IBD susceptibility. Journal of Crohn s and Colitis. 19(Supplement_1). i5–i6. 1 indexed citations
3.
Ozols, Matiss, Alexander Eckersley, Rachel Watson, et al.. (2024). Prediction, screening and characterization of novel bioactive tetrapeptide matrikines for skin rejuvenation. British Journal of Dermatology. 191(1). 92–106. 5 indexed citations
4.
Curion, Fabiola, Lukas Heumos, Lennard Halle, et al.. (2024). hadge: a comprehensive pipeline for donor deconvolution in single-cell studies. Genome biology. 25(1). 109–109. 5 indexed citations
5.
Foote, Kirsty, Marieke Rienks, Lukas Schmidt, et al.. (2024). Oxidative DNA damage promotes vascular ageing associated with changes in extracellular matrix-regulating proteins. Cardiovascular Research. 121(4). 614–628. 5 indexed citations
6.
Eckersley, Alexander, Mychel Morais, Matiss Ozols, & Rachel Lennon. (2023). Peptide location fingerprinting identifies structural alterations within basement membrane components in ageing kidney. Matrix Biology. 121. 167–178. 6 indexed citations
7.
Ozols, Matiss, Mike Bell, Eleanor Bradley, et al.. (2022). Matrikines as mediators of tissue remodelling. Advanced Drug Delivery Reviews. 185. 114240–114240. 68 indexed citations
8.
Eckersley, Alexander, Matiss Ozols, Peikai Chen, et al.. (2022). Peptide location fingerprinting identifies species- and tissue-conserved structural remodelling of proteins as a consequence of ageing and disease. Matrix Biology. 114. 108–137. 10 indexed citations
9.
Platt, Christopher I., et al.. (2022). Defining the Protease and Protease Inhibitor (P/PI) Proteomes of Healthy and Diseased Human Skin by Modified Systematic Review. Biomolecules. 12(3). 475–475. 4 indexed citations
10.
Ozols, Matiss, Alexander Eckersley, Kieran T. Mellody, et al.. (2021). Peptide location fingerprinting reveals modification‐associated biomarker candidates of ageing in human tissue proteomes. Aging Cell. 20(5). e13355–e13355. 19 indexed citations
11.
Eckersley, Alexander, Matiss Ozols, Peikai Chen, et al.. (2021). Peptide Location Fingerprinting Reveals Tissue Region-Specific Differences in Protein Structures in an Ageing Human Organ. International Journal of Molecular Sciences. 22(19). 10408–10408. 10 indexed citations
12.
Eckersley, Alexander, Matiss Ozols, Clare M. O’Connor, Mike Bell, & Michael J. Sherratt. (2021). Predicting and characterising protein damage in the extracellular matrix. Journal of Photochemistry and Photobiology. 7. 100055–100055. 1 indexed citations
13.
Ozols, Matiss, Alexander Eckersley, Christopher I. Platt, et al.. (2021). Predicting Proteolysis in Complex Proteomes Using Deep Learning. International Journal of Molecular Sciences. 22(6). 3071–3071. 17 indexed citations
14.
Eckersley, Alexander, Matiss Ozols, ronan.ocualain not provided, et al.. (2020). Proteomic fingerprints of damage in extracellular matrix assemblies. SHILAP Revista de lepidopterología. 5. 100027–100027. 20 indexed citations
15.
Sherratt, Michael J., Matiss Ozols, Alexander Eckersley, et al.. (2019). Circadian rhythms in skin and other elastic tissues. Matrix Biology. 84. 97–110. 29 indexed citations
16.
Hodson, Nigel W., et al.. (2018). Extracellular matrix fragmentation in young, healthy cartilaginous tissues. European Cells and Materials. 35(35). 34–53. 13 indexed citations
17.
Ozols, Matiss, et al.. (2018). Defining tissue proteomes by systematic literature review. Scientific Reports. 8(1). 546–546. 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.

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