Michael A. Derr
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
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- Growth Hormone and Insulin-like Growth Factors
Papers in
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- Growth Hormone and Insulin-like Growth Factors 10
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- Pluripotent Stem Cells Research 1
- Co-authors
- Vivian Hwa (12 shared papers)Ron G. Rosenfeld (11 shared papers)Fang Peng (5 shared papers)John S. Fuqua (1 shared paper)Yoon Hi Cho (1 shared paper)Christopher T. Cowell (1 shared paper)Robert S. Chappell (1 shared paper)Alberto J. Martinez (1 shared paper)
- Journals
- Hormone Research in Paediatrics (5 papers)The Journal of Clinical Endocrinology & Metabolism (4 papers)Molecular Endocrinology (1 paper)Endocrine development (1 paper)IEEE Micro (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Michael A. Derr
14 papers receiving 476 citations
Peers
Comparison fields: 5 of 56
- Hardware and Architecture 140
- Endocrinology, Diabetes and Metabolism 233
- Computer Networks and Communications 111
- Genetics 112
- Cardiology and Cardiovascular Medicine 30
Countries citing papers authored by Michael A. Derr
This map shows the geographic impact of Michael A. Derr'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 A. Derr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael A. Derr more than expected).
Fields of papers citing papers by Michael A. Derr
This network shows the impact of papers produced by Michael A. Derr. 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 A. Derr. The network helps show where Michael A. Derr may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael A. Derr, 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 | 2014 | 173 | |
| 2 | 2013 | 54 | |
| 3 | 2009 | 54 | |
| 4 | 2011 | 51 | |
| 5 | 2012 | 39 | |
| 6 | 2009 | 30 | |
| 7 | 2010 | 20 | |
| 8 | 2011 | 19 | |
| 9 | 2013 | 17 | |
| 10 | 2010 | 13 | |
| 11 | 2013 | 13 | |
| 12 | 2009 | 3 | |
| 13 | 2013 | 2 | |
| 14 | 2022 | 2 |
About Michael A. Derr
Michael A. Derr is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Computer Networks and Communications and Cellular and Molecular Neuroscience, having authored 14 papers that have together received 490 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (10 papers), Neuroscience and Neural Engineering (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Congenital Diaphragmatic Hernia Studies (1 paper), 3D Printing in Biomedical Research (1 paper), Pluripotent Stem Cells Research (1 paper), Uterine Myomas and Treatments (1 paper) and Genetic Syndromes and Imprinting (1 paper). The work is most often cited by research in Hardware and Architecture (140 citations), Endocrinology, Diabetes and Metabolism (233 citations), Computer Networks and Communications (111 citations), Genetics (112 citations) and Cardiology and Cardiovascular Medicine (30 citations). Michael A. Derr has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Vivian Hwa, Ron G. Rosenfeld, Fang Peng, John S. Fuqua, Yoon Hi Cho, Christopher T. Cowell, Robert S. Chappell, Alberto J. Martinez, Stéphan Jourdan and Ronak Singhal. Their work appears in journals such as Hormone Research in Paediatrics, The Journal of Clinical Endocrinology & Metabolism, Molecular Endocrinology, Endocrine development and IEEE Micro.
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.