Miriam Scadeng
Impact in
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
Papers in
- Co-authors
- Emilia S. Olson (2 shared papers)Tao Jiang (2 shared papers)Lesley G. Ellies (2 shared papers)Quyen T. Nguyen (2 shared papers)Roger Y. Tsien (2 shared papers)Todd A. Aguilera (2 shared papers)Jerrold M. Olefsky (8 shared papers)Gautam Bandyopadhyay (4 shared papers)
- Journals
- Journal of Applied Physiology (5 papers)Journal of Experimental Biology (4 papers)Proceedings of the National Academy of Sciences (4 papers)Magnetic Resonance Imaging (3 papers)PLoS ONE (3 papers)
- Partner nations
- United StatesNew ZealandUnited Kingdom
In The Last Decade
Miriam Scadeng
86 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 152
- Biomaterials 337
- Endocrine and Autonomic Systems 167
- Physiology 607
- Developmental Neuroscience 91
- Molecular Biology 1.5k
Countries citing papers authored by Miriam Scadeng
This map shows the geographic impact of Miriam Scadeng'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 Miriam Scadeng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miriam Scadeng more than expected).
Fields of papers citing papers by Miriam Scadeng
This network shows the impact of papers produced by Miriam Scadeng. 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 Miriam Scadeng. The network helps show where Miriam Scadeng may publish in the future.
Co-authors
The 25 scholars most cited alongside Miriam Scadeng, 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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 455 | |
| 2 | 2007 | 417 | |
| 3 | 2010 | 386 | |
| 4 | 2009 | 253 | |
| 5 | 2012 | 246 | |
| 6 | 2011 | 234 | |
| 7 | 2010 | 214 | |
| 8 | 2007 | 101 | |
| 9 | 2013 | 101 | |
| 10 | 2009 | 79 | |
| 11 | 2016 | 69 | |
| 12 | 2015 | 65 | |
| 13 | 2015 | 58 | |
| 14 | 2011 | 57 | |
| 15 | 2009 | 56 | |
| 16 | 2011 | 53 | |
| 17 | 2008 | 52 | |
| 18 | 2006 | 49 | |
| 19 | 2017 | 47 | |
| 20 | 2010 | 44 |
About Miriam Scadeng
Miriam Scadeng is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Epidemiology and Physiology, having authored 89 papers that have together received 4.0k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (11 papers), Advanced Neuroimaging Techniques and Applications (11 papers), Adipose Tissue and Metabolism (10 papers), Neuroscience of respiration and sleep (6 papers), Traumatic Brain Injury and Neurovascular Disturbances (6 papers), Marine animal studies overview (5 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers) and Functional Brain Connectivity Studies (5 papers). The work is most often cited by research in Biomaterials (337 citations), Endocrine and Autonomic Systems (167 citations), Physiology (607 citations), Developmental Neuroscience (91 citations) and Molecular Biology (1.5k citations). Miriam Scadeng has collaborated with scholars based in United States, New Zealand and United Kingdom. Frequent co-authors include Emilia S. Olson, Tao Jiang, Lesley G. Ellies, Quyen T. Nguyen, Roger Y. Tsien, Todd A. Aguilera, Jerrold M. Olefsky, Gautam Bandyopadhyay, Michael Karin and Jaap G. Neels. Their work appears in journals such as Journal of Applied Physiology, Journal of Experimental Biology, Proceedings of the National Academy of Sciences, Magnetic Resonance Imaging and PLoS ONE.
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.