Mark Ungrin
Impact in
Papers in
-
- Pluripotent Stem Cells Research 14
- CRISPR and Genetic Engineering 5
- Receptor Mechanisms and Signaling 3
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- 3D Printing in Biomedical Research 17
- Microfluidic and Bio-sensing Technologies 3
- Co-authors
- Peter W. Zandstra (7 shared papers)Chirag Joshi (2 shared papers)Céline L. Bauwens (5 shared papers)Andra Nica (1 shared paper)Mark Abramovitz (4 shared papers)Yang Yu (6 shared papers)Rino Stocco (3 shared papers)Derek Toms (8 shared papers)
- Journals
- Journal of Visualized Experiments (6 papers)International Journal of Molecular Sciences (4 papers)PLoS ONE (3 papers)Diabetologia (2 papers)Biomaterials (2 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Mark Ungrin
44 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 124
- Aging 59
- Genetics 190
- Biomedical Engineering 793
- Reproductive Medicine 116
- Molecular Biology 966
Countries citing papers authored by Mark Ungrin
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
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-authors
The 25 scholars most cited alongside Mark Ungrin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 342 | |
| 2 | 1997 | 269 | |
| 3 | 2010 | 150 | |
| 4 | 2018 | 137 | |
| 5 | 2013 | 115 | |
| 6 | 2018 | 113 | |
| 7 | 2019 | 103 | |
| 8 | 1999 | 90 | |
| 9 | 2002 | 83 | |
| 10 | 2008 | 82 | |
| 11 | 2011 | 75 | |
| 12 | 2008 | 69 | |
| 13 | 2015 | 68 | |
| 14 | 2001 | 50 | |
| 15 | 2018 | 48 | |
| 16 | 1999 | 45 | |
| 17 | 2024 | 35 | |
| 18 | 2015 | 32 | |
| 19 | 2013 | 32 | |
| 20 | 2019 | 24 |
About Mark Ungrin
Mark Ungrin is a scholar working on Molecular Biology, Biomedical Engineering, Surgery, Physiology and Reproductive Medicine, having authored 46 papers that have together received 2.2k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (17 papers), Pluripotent Stem Cells Research (14 papers), Sperm and Testicular Function (5 papers), Tissue Engineering and Regenerative Medicine (5 papers), CRISPR and Genetic Engineering (5 papers), Pancreatic function and diabetes (4 papers), Microfluidic and Bio-sensing Technologies (3 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Aging (59 citations), Genetics (190 citations), Biomedical Engineering (793 citations), Reproductive Medicine (116 citations) and Molecular Biology (966 citations). Mark Ungrin has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Peter W. Zandstra, Chirag Joshi, Céline L. Bauwens, Andra Nica, Mark Abramovitz, Yang Yu, Rino Stocco, Derek Toms, Nicole Sawyer and Kathleen M. Metters. Their work appears in journals such as Journal of Visualized Experiments, International Journal of Molecular Sciences, PLoS ONE, Diabetologia and Biomaterials.
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.