Daniel C. Cannon
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
-
- Erythropoietin and Anemia Treatment
Papers in
-
- Biomedical Text Mining and Ontologies 2
-
- Cellular Automata and Applications 2
- Co-authors
- Douglas K Owens (1 shared paper)Alan M. Garber (1 shared paper)Victoria J. Davey (1 shared paper)Jean Lowe (4 shared papers)Robert J. Glass (1 shared paper)Robin K. Ohls (5 shared papers)S E Wiedmeier (4 shared papers)David H. Ackley (2 shared papers)
- Journals
- PEDIATRICS (2 papers)Pediatric Research (1 paper)Clinical Infectious Diseases (1 paper)PeerJ (1 paper)Journal of Biomedical Informatics (1 paper)
- Partner nations
- United StatesDenmarkGermany
In The Last Decade
Daniel C. Cannon
14 papers receiving 280 citations
Peers
Comparison fields: 5 of 74
- Modeling and Simulation 28
- Hematology 60
- Pediatrics, Perinatology and Child Health 90
- Nephrology 13
- Genetics 19
Countries citing papers authored by Daniel C. Cannon
This map shows the geographic impact of Daniel C. Cannon'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 Daniel C. Cannon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel C. Cannon more than expected).
Fields of papers citing papers by Daniel C. Cannon
This network shows the impact of papers produced by Daniel C. Cannon. 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 Daniel C. Cannon. The network helps show where Daniel C. Cannon may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel C. Cannon, 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 | 91 | |
| 2 | 2009 | 64 | |
| 3 | 2016 | 48 | |
| 4 | 2017 | 23 | |
| 5 | 2019 | 15 | |
| 6 | Pursue robust indefinite scalability | 2011 | 11 |
| 7 | 2021 | 8 | |
| 8 | 2019 | 7 | |
| 9 | 2012 | 7 | |
| 10 | 2021 | 6 | |
| 11 | 2017 | 5 | |
| 12 | 2002 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2017 | 2 |
About Daniel C. Cannon
Daniel C. Cannon is a scholar working on Molecular Biology, Computational Theory and Mathematics, Hardware and Architecture, Hematology and Psychiatry and Mental health, having authored 14 papers that have together received 292 indexed citations. Recurring topics across this work include Erythropoietin and Anemia Treatment (2 papers), Bipolar Disorder and Treatment (2 papers), Parallel Computing and Optimization Techniques (2 papers), Biomedical Text Mining and Ontologies (2 papers), Cellular Automata and Applications (2 papers), Advanced Proteomics Techniques and Applications (1 paper), COVID-19 epidemiological studies (1 paper) and Advanced Neuroimaging Techniques and Applications (1 paper). The work is most often cited by research in Modeling and Simulation (28 citations), Hematology (60 citations), Pediatrics, Perinatology and Child Health (90 citations), Nephrology (13 citations) and Genetics (19 citations). Daniel C. Cannon has collaborated with scholars based in United States, Denmark and Germany. Frequent co-authors include Douglas K Owens, Alan M. Garber, Victoria J. Davey, Jean Lowe, Robert J. Glass, Robin K. Ohls, S E Wiedmeier, David H. Ackley, Janell Fuller and Conra Backstrom Lacy. Their work appears in journals such as PEDIATRICS, Pediatric Research, Clinical Infectious Diseases, PeerJ and Journal of Biomedical Informatics.
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.