Michael S. Kallos
- Developmental Neuroscience top 5%
- Analytical Chemistry top 1%
- Petroleum Processing and Analysis 10
- Biomedical Engineering top 2%
- 3D Printing in Biomedical Research 36
- Genetics top 5%
- Mesenchymal stem cell research 15
- Ocean Engineering top 2%
-
- Pluripotent Stem Cells Research 50
- CRISPR and Genetic Engineering 13
-
- Nerve injury and regeneration 14
-
- Tissue Engineering and Regenerative Medicine 11
-
- Biomedical Ethics and Regulation 10
- Co-authors
- Ian D. GatesLeo A. BehiePunitkumar R. KapadiaArindom SenDerrick E. RancourtNicole I. zur NiedenRoman KrawetzJeff Biernaskie
- Partner nations
- CanadaUnited StatesSwitzerland
In The Last Decade
Michael S. Kallos
91 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 130
- Developmental Neuroscience 158
- Analytical Chemistry 345
- Biomedical Engineering 1.3k
- Genetics 304
- Ocean Engineering 334
Countries citing papers authored by Michael S. Kallos
This map shows the geographic impact of Michael S. Kallos'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 Michael S. Kallos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael S. Kallos more than expected).
Fields of papers citing papers by Michael S. Kallos
This network shows the impact of papers produced by Michael S. Kallos. 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 Michael S. Kallos. The network helps show where Michael S. Kallos may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael S. Kallos, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2021 | 52 | |
| 7 | 2020 | 38 | |
| 8 | 2020 | 19 | |
| 9 | 2020 | 16 | |
| 10 | 2017 | 10 | |
| 11 | Microcarrier Screening for Skin-derived Precursor Schwann Cell Culture in Stirred Tank Bioreactors | 2016 | 1 |
| 12 | 2016 | 13 | |
| 13 | 2015 | 5 | |
| 14 | 2013 | 43 | |
| 15 | 2011 | 36 | |
| 16 | 2010 | 13 | |
| 17 | 2009 | 49 | |
| 18 | 2009 | 122 | |
| 19 | 2004 | 26 | |
| 20 | 1999 | 40 |
About Michael S. Kallos
Michael S. Kallos is a scholar working on Developmental Neuroscience, Genetics and Analytical Chemistry, having authored 91 papers that have together received 2.8k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (50 papers), 3D Printing in Biomedical Research (36 papers), Mesenchymal stem cell research (15 papers), Nerve injury and regeneration (14 papers), CRISPR and Genetic Engineering (13 papers), Tissue Engineering and Regenerative Medicine (11 papers), Biomedical Ethics and Regulation (10 papers) and Petroleum Processing and Analysis (10 papers). The work is most often cited by research in Developmental Neuroscience (158 citations), Analytical Chemistry (345 citations) and Biomedical Engineering (1.3k citations). Michael S. Kallos has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Ian D. Gates, Leo A. Behie, Punitkumar R. Kapadia, Arindom Sen, Derrick E. Rancourt, Nicole I. zur Nieden, Roman Krawetz, Jeff Biernaskie, Jingyi Wang and Christopher Hunter. Their work appears in journals such as Biomaterials, Scientific Reports and Brain Research.
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.