Mark Ungrin

2.7k total citations
44 papers, 2.0k citations indexed

About

Mark Ungrin is a scholar working on Molecular Biology, Biomedical Engineering and Surgery. According to data from OpenAlex, Mark Ungrin has authored 44 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 19 papers in Biomedical Engineering and 9 papers in Surgery. Recurrent topics in Mark Ungrin's work include 3D Printing in Biomedical Research (16 papers), Pluripotent Stem Cells Research (14 papers) and Sperm and Testicular Function (5 papers). Mark Ungrin is often cited by papers focused on 3D Printing in Biomedical Research (16 papers), Pluripotent Stem Cells Research (14 papers) and Sperm and Testicular Function (5 papers). Mark Ungrin collaborates with scholars based in Canada, United States and Australia. Mark Ungrin's co-authors include Peter W. Zandstra, Céline L. Bauwens, Chirag Joshi, Andra Nica, Mark Abramovitz, Yang Yu, Rino Stocco, Derek Toms, Kathleen M. Metters and Nicole Sawyer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Mark Ungrin

42 papers receiving 2.0k 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 Ungrin Canada 22 960 763 401 224 212 44 2.0k
Douglas A. Kniss United States 35 966 1.0× 436 0.6× 321 0.8× 137 0.6× 251 1.2× 98 3.1k
Claudia Fuoco Italy 22 1.4k 1.5× 588 0.8× 471 1.2× 93 0.4× 330 1.6× 56 2.8k
Yonghyun Kim South Korea 31 889 0.9× 430 0.6× 305 0.8× 253 1.1× 148 0.7× 143 2.9k
José Inzunza Sweden 24 1.5k 1.5× 499 0.7× 474 1.2× 147 0.7× 156 0.7× 58 2.5k
Andrew C. Hall United Kingdom 30 827 0.9× 387 0.5× 869 2.2× 165 0.7× 446 2.1× 110 3.1k
Marimélia Porcionatto Brazil 29 933 1.0× 400 0.5× 220 0.5× 502 2.2× 160 0.8× 92 2.4k
Linlin Wang China 23 871 0.9× 351 0.5× 250 0.6× 138 0.6× 170 0.8× 78 1.9k
Jian Weng China 24 2.0k 2.1× 391 0.5× 500 1.2× 322 1.4× 160 0.8× 79 3.9k
Donghui Zhang China 22 1.3k 1.4× 588 0.8× 891 2.2× 240 1.1× 66 0.3× 63 2.5k
Karolina Chwalek Germany 24 838 0.9× 717 0.9× 433 1.1× 286 1.3× 199 0.9× 33 2.4k

Countries citing papers authored by Mark Ungrin

Since Specialization
Citations

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

Fields of papers citing papers by Mark Ungrin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Ungrin

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Ungrin. A scholar is included among the top collaborators of Mark Ungrin 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 Ungrin. Mark Ungrin 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.
Greenhalgh, Trisha, C. Raina MacIntyre, Michael G. Baker, et al.. (2024). Masks and respirators for prevention of respiratory infections: a state of the science review. Clinical Microbiology Reviews. 37(2). e0012423–e0012423. 25 indexed citations
2.
Fisman, David N., et al.. (2024). Canada needs a national COVID-19 inquiry now. BMC Medicine. 22(1). 537–537.
3.
Zhao, Xiang, et al.. (2023). The Trophoblast Compartment Helps Maintain Embryonic Pluripotency and Delays Differentiation towards Cardiomyocytes. International Journal of Molecular Sciences. 24(15). 12423–12423. 4 indexed citations
4.
Sakib, Sadman, Nathália de Lima e Martins Lara, Lin Su, et al.. (2021). The Proliferation of Pre-Pubertal Porcine Spermatogonia in Stirred Suspension Bioreactors Is Partially Mediated by the Wnt/β-Catenin Pathway. International Journal of Molecular Sciences. 22(24). 13549–13549. 3 indexed citations
5.
Powell, Diana, Hanna Pulaski, Mark Ungrin, et al.. (2021). Unique metabolic phenotype and its transition during maturation of juvenile male germ cells. The FASEB Journal. 35(5). e21513–e21513. 22 indexed citations
6.
7.
Pearson, Jennifer M., et al.. (2020). Quantifying the Forces Applied During Manually and Mechanically Assisted Calvings in Beef Cattle. Frontiers in Veterinary Science. 7. 459–459. 2 indexed citations
8.
Matyas, John R., et al.. (2019). Serum-Free Culture of Human Mesenchymal Stem Cell Aggregates in Suspension Bioreactors for Tissue Engineering Applications. Stem Cells International. 2019. 1–18. 22 indexed citations
9.
Sakib, Sadman, Aya Uchida, Yang Yu, et al.. (2019). Formation of organotypic testicular organoids in microwell culture†. Biology of Reproduction. 100(6). 1648–1660. 99 indexed citations
10.
Dardari, Rkia, Derek Toms, D.A.F. Villagómez, et al.. (2019). Stirred Suspension Bioreactor Culture of Porcine Induced Pluripotent Stem Cells. Stem Cells and Development. 28(18). 1264–1275. 11 indexed citations
11.
Sakib, Sadman, et al.. (2019). Generation of Porcine Testicular Organoids with Testis Specific Architecture using Microwell Culture. Journal of Visualized Experiments. 22 indexed citations
12.
Sakib, Sadman, et al.. (2019). Generation of Porcine Testicular Organoids with Testis Specific Architecture using Microwell Culture. Journal of Visualized Experiments. 5 indexed citations
13.
Lu, Jia, Yang Yu, & Mark Ungrin. (2017). Enhancing the efficiency of human pancreatic islet dissociation. 6. 25–28. 1 indexed citations
14.
Bauwens, Céline L., Derek Toms, & Mark Ungrin. (2016). Aggregate Size Optimization in Microwells for Suspension-based Cardiac Differentiation of Human Pluripotent Stem Cells. Journal of Visualized Experiments. 8 indexed citations
15.
Futrega, Kathryn, James S. Palmer, William B. Lott, et al.. (2015). The microwell-mesh: A novel device and protocol for the high throughput manufacturing of cartilage microtissues. Biomaterials. 62. 1–12. 67 indexed citations
16.
Fox, Jocelyn E. Manning, James Lyon, Julie A. Hayward, et al.. (2015). Human islet function following 20 years of cryogenic biobanking. Diabetologia. 58(7). 1503–1512. 29 indexed citations
17.
Stevens, Kelly R., Mark Ungrin, Robert E. Schwartz, et al.. (2013). InVERT molding for scalable control of tissue microarchitecture. Nature Communications. 4(1). 1847–1847. 109 indexed citations
18.
Bauwens, Céline L., Hannah Song, Nimalan Thavandiran, et al.. (2011). Geometric Control of Cardiomyogenic Induction in Human Pluripotent Stem Cells. Tissue Engineering Part A. 17(15-16). 1901–1909. 72 indexed citations
19.
Peerani, Raheem, et al.. (2008). Micropatterning of human embryonic stem cells dissects the mesoderm and endoderm lineages. Stem Cell Research. 2(2). 155–162. 70 indexed citations
20.
Ungrin, Mark, et al.. (1999). An Automated Aequorin Luminescence-Based Functional Calcium Assay for G-Protein-Coupled Receptors. Analytical Biochemistry. 272(1). 34–42. 43 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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