Chris Mason

4.4k total citations · 1 hit paper
87 papers, 2.2k citations indexed

About

Chris Mason is a scholar working on Molecular Biology, Physiology and Biomedical Engineering. According to data from OpenAlex, Chris Mason has authored 87 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 33 papers in Physiology and 33 papers in Biomedical Engineering. Recurrent topics in Chris Mason's work include Pluripotent Stem Cells Research (33 papers), Biomedical Ethics and Regulation (28 papers) and 3D Printing in Biomedical Research (20 papers). Chris Mason is often cited by papers focused on Pluripotent Stem Cells Research (33 papers), Biomedical Ethics and Regulation (28 papers) and 3D Printing in Biomedical Research (20 papers). Chris Mason collaborates with scholars based in United Kingdom, United States and South Korea. Chris Mason's co-authors include Josef Bacik, Ohad Rodeh, Peter Dunnill, Farlan Veraitch, Emily J Culme-Seymour, David Brindley, Ivan Wall, Andrew E. Pelling, Natasha L. Davie and Mike Hoare and has published in prestigious journals such as The Lancet, Blood and PLoS ONE.

In The Last Decade

Chris Mason

83 papers receiving 2.1k citations

Hit Papers

BTRFS 2013 2026 2017 2021 2013 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chris Mason United Kingdom 26 844 664 461 339 325 87 2.2k
Jae‐Beom Kim South Korea 21 795 0.9× 396 0.6× 208 0.5× 56 0.2× 203 0.6× 46 1.9k
Hongjun Zheng United States 20 511 0.6× 148 0.2× 214 0.5× 229 0.7× 27 0.1× 66 1.8k
Jerry Yan United States 16 194 0.2× 287 0.4× 185 0.4× 19 0.1× 355 1.1× 58 1.3k
Steven R. Bauer United States 31 1.5k 1.7× 321 0.5× 465 1.0× 204 0.6× 39 0.1× 86 3.2k
Tatsuya Shimizu Japan 28 899 1.1× 1.7k 2.6× 1.9k 4.0× 73 0.2× 58 0.2× 112 3.9k
Vaibhav Saini United States 17 480 0.6× 152 0.2× 42 0.1× 36 0.1× 91 0.3× 32 1.4k
Angelos Oikonomopoulos United States 20 1.1k 1.3× 178 0.3× 546 1.2× 53 0.2× 11 0.0× 34 1.7k
Konstantin Miller Germany 17 680 0.8× 156 0.2× 240 0.5× 88 0.3× 224 0.7× 56 1.5k

Countries citing papers authored by Chris Mason

Since Specialization
Citations

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

Fields of papers citing papers by Chris Mason

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Mason

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Mason. A scholar is included among the top collaborators of Chris Mason 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 Chris Mason. Chris Mason 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.
Wordsworth, Robin, Shannon N. Nangle, Peter R. Girguis, et al.. (2025). Applied Astrobiology: An Integrated Approach to the Future of Life in Space. Astrobiology. 25(5). 327–330.
2.
Plasschaert, Robert N., Mark P. DeAndrade, Aimin Yan, et al.. (2022). High-throughput analysis of hematopoietic stem cell engraftment after intravenous and intracerebroventricular dosing. Molecular Therapy. 30(10). 3209–3225. 9 indexed citations
3.
Dahl, Maria, Emma Smith, Michael Rothe, et al.. (2020). Correction of pathology in mice displaying Gaucher disease type 1 by a clinically-applicable lentiviral vector. Molecular Therapy — Methods & Clinical Development. 20. 312–323. 15 indexed citations
4.
Georgiou, Melanie, Victoria H. Roberton, James B. Phillips, et al.. (2019). Generation of c-MycERTAM-transduced human late-adherent olfactory mucosa cells for potential regenerative applications. Scientific Reports. 9(1). 13190–13190. 2 indexed citations
5.
Smith, Devyn M., Emily J Culme-Seymour, & Chris Mason. (2018). Evolving Industry Partnerships and Investments in Cell and Gene Therapies. Cell stem cell. 22(5). 623–626. 10 indexed citations
6.
Cossu, Giulio, Martin Birchall, Tracey Brown, et al.. (2017). Lancet Commission: Stem cells and regenerative medicine. The Lancet. 391(10123). 883–910. 205 indexed citations
7.
Bayon, Yves, Alain A. Vertès, Vincent Ronfard, et al.. (2015). Turning Regenerative Medicine Breakthrough Ideas and Innovations into Commercial Products. Tissue Engineering Part B Reviews. 21(6). 560–571. 12 indexed citations
8.
Culme-Seymour, Emily J, Laura Vallejo‐Torres, Carla Carvalho, et al.. (2015). Cost of Stem Cell-Based Tissue-Engineered Airway Transplants in the United Kingdom: Case Series. Tissue Engineering Part A. 22(3-4). 208–213. 18 indexed citations
9.
Sharma, Vaibhav, et al.. (2015). Albumin removal from human fibrinogen preparations for manufacturing human fibrin-based biomaterials. PubMed. 1. 6–10. 4 indexed citations
10.
Sharma, Vaibhav, Keith A. Blackwood, David Haddow, et al.. (2015). Method for estimating protein binding capacity of polymeric systems. PubMed. 1. 40–50. 7 indexed citations
11.
Ali, Shahzad, Ivan Wall, Chris Mason, Andrew E. Pelling, & Farlan Veraitch. (2015). The effect of Young’s modulus on the neuronal differentiation of mouse embryonic stem cells. Acta Biomaterialia. 25. 253–267. 52 indexed citations
12.
Hussain, Waqar, Nathalie Moens, Farlan Veraitch, et al.. (2013). Reproducible culture and differentiation of mouse embryonic stem cells using an automated microwell platform. Biochemical Engineering Journal. 77(100). 246–257. 17 indexed citations
13.
Brindley, David, Natasha L. Davie, William A. Sahlman, et al.. (2012). Promising Growth and Investment in the Cell Therapy Industry during the First Quarter of 2012. Cell stem cell. 10(5). 492–496. 12 indexed citations
14.
Mason, Chris, et al.. (2012). The Global Cell Therapy Industry Continues to Rise during the Second and Third Quarters of 2012. Cell stem cell. 11(6). 735–739. 16 indexed citations
15.
Mondragón‐Terán, Paul, et al.. (2011). The full spectrum of physiological oxygen tensions and step‐changes in oxygen tension affects the neural differentiation of mouse embryonic stem cells. Biotechnology Progress. 27(6). 1700–1708. 11 indexed citations
16.
Pelling, Andrew E., et al.. (2009). Mechanical dynamics of single cells during early apoptosis. Cell Motility and the Cytoskeleton. 66(7). 409–422. 68 indexed citations
17.
Mason, Chris. (2009). ISSCR 2009 Industry Panel Session: Promoting Translation and Commercialization. Cell stem cell. 5(4). 379–384. 6 indexed citations
18.
Mason, Chris, et al.. (2008). Preimplantation genetic diagnosis as a source of human embryonic stem cells for disease research and drug discovery. BJOG An International Journal of Obstetrics & Gynaecology. 116(2). 158–165. 14 indexed citations
19.
Pelling, Andrew E., et al.. (2007). Mapping correlated membrane pulsations and fluctuations in human cells. Journal of Molecular Recognition. 20(6). 467–475. 32 indexed citations
20.
Mason, Chris, Julia F. Markusen, M Town, P. Dunnill, & Ruikang K. Wang. (2004). The potential of optical coherence tomography in the engineering of living tissue. Physics in Medicine and Biology. 49(7). 1097–1115. 51 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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