Michael D. Torno
Impact in
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
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- Neonatal Health and Biochemistry
Papers in
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- Characterization and Applications of Magnetic Nanoparticles 3
- Microfluidic and Bio-sensing Technologies 2
- 3D Printing in Biomedical Research 2
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- Heme Oxygenase-1 and Carbon Monoxide 3
- Co-authors
- Mahin D. Maines (3 shared papers)Zhenbo Hu (3 shared papers)Axel J. Rosengart (8 shared papers)Anatoliy Kravets (2 shared papers)Tihomir Miralem (2 shared papers)Xianqiao Liu (7 shared papers)Michael D. Kaminski (6 shared papers)Nicole Lerner‐Marmarosh (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Journal of Magnetism and Magnetic Materials (2 papers)Medical Physics (1 paper)Academic Radiology (1 paper)IEEE Transactions on Magnetics (1 paper)
- Partner nations
- United StatesRussia
In The Last Decade
Michael D. Torno
14 papers receiving 620 citations
Peers
Comparison fields: 5 of 93
- Biomaterials 143
- Pediatrics, Perinatology and Child Health 181
- Cell Biology 108
- Molecular Biology 343
- Pharmaceutical Science 22
Countries citing papers authored by Michael D. Torno
This map shows the geographic impact of Michael D. Torno'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 D. Torno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael D. Torno more than expected).
Fields of papers citing papers by Michael D. Torno
This network shows the impact of papers produced by Michael D. Torno. 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 D. Torno. The network helps show where Michael D. Torno may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael D. Torno, 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 | 2005 | 131 | |
| 2 | 2004 | 90 | |
| 3 | 2005 | 85 | |
| 4 | 2007 | 81 | |
| 5 | 2006 | 47 | |
| 6 | 2007 | 40 | |
| 7 | 2008 | 40 | |
| 8 | 2024 | 36 | |
| 9 | 2006 | 31 | |
| 10 | 2007 | 22 | |
| 11 | 2006 | 12 | |
| 12 | 2012 | 8 | |
| 13 | 2007 | 7 | |
| 14 | 2011 | 1 |
About Michael D. Torno
Michael D. Torno is a scholar working on Biomedical Engineering, Molecular Biology, Biomaterials, Cell Biology and Pediatrics, Perinatology and Child Health, having authored 14 papers that have together received 631 indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (4 papers), Characterization and Applications of Magnetic Nanoparticles (3 papers), Neonatal Health and Biochemistry (3 papers), Hemoglobin structure and function (3 papers), Heme Oxygenase-1 and Carbon Monoxide (3 papers), Microfluidic and Bio-sensing Technologies (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and 3D Printing in Biomedical Research (2 papers). The work is most often cited by research in Biomaterials (143 citations), Pediatrics, Perinatology and Child Health (181 citations), Cell Biology (108 citations), Molecular Biology (343 citations) and Pharmaceutical Science (22 citations). Michael D. Torno has collaborated with scholars based in United States and Russia. Frequent co-authors include Mahin D. Maines, Zhenbo Hu, Axel J. Rosengart, Anatoliy Kravets, Tihomir Miralem, Xianqiao Liu, Michael D. Kaminski, Nicole Lerner‐Marmarosh, Haitao Chen and Katherine M. Lelli. Their work appears in journals such as Journal of Biological Chemistry, Journal of Magnetism and Magnetic Materials, Medical Physics, Academic Radiology and IEEE Transactions on Magnetics.
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.