Mark McCall

443 total citations
11 papers, 298 citations indexed

About

Mark McCall is a scholar working on Biomedical Engineering, Molecular Biology and Physiology. According to data from OpenAlex, Mark McCall has authored 11 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 6 papers in Molecular Biology and 3 papers in Physiology. Recurrent topics in Mark McCall's work include Pluripotent Stem Cells Research (6 papers), 3D Printing in Biomedical Research (6 papers) and Biomedical Ethics and Regulation (3 papers). Mark McCall is often cited by papers focused on Pluripotent Stem Cells Research (6 papers), 3D Printing in Biomedical Research (6 papers) and Biomedical Ethics and Regulation (3 papers). Mark McCall collaborates with scholars based in United Kingdom, Chile and Sweden. Mark McCall's co-authors include Bo Kara, Alvin W. Nienow, Thomas R.J. Heathman, Christopher J. Hewitt, Karen Coopman, Robert J. Thomas, Rachel Bayley, Katie Glen, Forhad Ahmed and David Williams and has published in prestigious journals such as Cell stem cell, The International Journal of Advanced Manufacturing Technology and Cytotherapy.

In The Last Decade

Mark McCall

11 papers receiving 284 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 McCall United Kingdom 6 142 108 86 75 55 11 298
David J. Olivos United States 10 152 1.1× 90 0.8× 56 0.7× 39 0.5× 70 1.3× 13 343
Patricia García-Gallastegui Spain 10 199 1.4× 35 0.3× 118 1.4× 64 0.9× 38 0.7× 23 349
Jaymi T. Taiani Canada 9 221 1.6× 179 1.7× 51 0.6× 84 1.1× 24 0.4× 9 310
Yonatan Y. Lipsitz Canada 6 270 1.9× 186 1.7× 52 0.6× 70 0.9× 110 2.0× 10 414
Fangyuan Wei China 9 103 0.7× 79 0.7× 48 0.6× 63 0.8× 64 1.2× 21 358
Eoin P. McNeill United States 9 136 1.0× 107 1.0× 119 1.4× 113 1.5× 33 0.6× 16 318
Matthew Mazurek Canada 4 105 0.7× 39 0.4× 149 1.7× 106 1.4× 72 1.3× 7 322
Dejin Zheng China 10 180 1.3× 44 0.4× 117 1.4× 90 1.2× 58 1.1× 16 365
Patrícia Shigunov Brazil 11 252 1.8× 43 0.4× 132 1.5× 59 0.8× 40 0.7× 31 425
Lionel Faivre France 10 76 0.5× 71 0.7× 55 0.6× 79 1.1× 41 0.7× 22 275

Countries citing papers authored by Mark McCall

Since Specialization
Citations

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

Fields of papers citing papers by Mark McCall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark McCall

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

All Works

11 of 11 papers shown
1.
Chandra, Amit, Samantha L. Wilson, Mark McCall, et al.. (2019). Distributed automated manufacturing of pluripotent stem cell products. The International Journal of Advanced Manufacturing Technology. 106(3-4). 1085–1103. 7 indexed citations
2.
Stacey, Glyn, Peter W. Andrews, Ivana Barbaric, et al.. (2019). Stem Cell Culture Conditions and Stability: A Joint Workshop of the PluriMes Consortium and Pluripotent Stem Cell Platform. Regenerative Medicine. 14(3). 243–255. 11 indexed citations
3.
Thomas, Robert J., et al.. (2019). From Protocol to Product: Ventral Midbrain Dopaminergic Neuron Differentiation for the Treatment of Parkinson’s Disease. Regenerative Medicine. 14(11). 1057–1069. 3 indexed citations
4.
Wilson, Samantha L., et al.. (2018). Translational requirements for enhanced characterisation of manufactured dopaminergic neurons for the treatment of Parkinson's disease. Cytotherapy. 20(5). S66–S67. 1 indexed citations
6.
Bayley, Rachel, et al.. (2016). The productivity limit of manufacturing blood cell therapy in scalable stirred bioreactors. Journal of Tissue Engineering and Regenerative Medicine. 12(1). e368–e378. 27 indexed citations
7.
Heathman, Thomas R.J., Alvin W. Nienow, Mark McCall, et al.. (2015). The Translation of Cell-Based Therapies: Clinical Landscape and Manufacturing Challenges. Regenerative Medicine. 10(1). 49–64. 216 indexed citations
8.
Hourd, Paul, Amit Chandra, Patrick Ginty, et al.. (2014). Qualification of Academic Facilities for Small-Scale Automated Manufacture of Autologous Cell-Based Products. Regenerative Medicine. 9(6). 799–815. 12 indexed citations
9.
McCall, Mark & David Williams. (2013). Cell therapy distributed manufacturing, man-aging costs and risks. Cytotherapy. 15(4). S51–S51. 1 indexed citations
10.
McCall, Mark & David Williams. (2013). Developing Cell Therapies: Enabling cost prediction by value systems modeling to manage developmental risk.. Journal of Commercial Biotechnology. 19(2). 3 indexed citations
11.
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

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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