David J. Hamilton
- Endocrinology top 1%
- Molecular Biology
- Epidemiology top 10%
- Microbiology top 2%
- Infectious Diseases top 10%
- Co-authors
- James M. FleckensteinKoushik RoyGiorgio A. AscoliJ. Thomas GraystonC C KuoLee Ann CampbellDiek W. WheelerW.A. Sandham
- Topics
- Escherichia coli research studies (8 papers)ECG Monitoring and Analysis (7 papers)Neuroscience and Neuropharmacology Research (6 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
David J. Hamilton
57 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 139
- Endocrinology 329
- Molecular Biology 305
- Epidemiology 260
- Microbiology 247
- Infectious Diseases 236
Countries citing papers authored by David J. Hamilton
This map shows the geographic impact of David J. Hamilton'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 David J. Hamilton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Hamilton more than expected).
Fields of papers citing papers by David J. Hamilton
This network shows the impact of papers produced by David J. Hamilton. 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 David J. Hamilton. The network helps show where David J. Hamilton may publish in the future.
Co-authorship network of co-authors of David J. Hamilton
This figure shows the co-authorship network connecting the top 25 collaborators of David J. Hamilton. A scholar is included among the top collaborators of David J. Hamilton based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David J. Hamilton. David J. Hamilton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 13 | |
| 4 | 22 | |
| 5 | 36 | |
| 6 | 100 | |
| 7 | 20 | |
| 8 | 24 | |
| 9 | 31 | |
| 10 | 8 | |
| 11 | 52 | |
| 12 | 2 | |
| 13 | Testing analogue circuits with binary sequences : a feasibility study | 4 |
| 14 | Blood glucose prediction for diabetes therapy using a recurrent artificial neural network | 17 |
| 15 | 34 | |
| 16 | 7 | |
| 17 | 8 | |
| 18 | 12 | |
| 19 | 7 | |
| 20 | 33 |
About David J. Hamilton
David J. Hamilton is a scholar working on Endocrinology, Molecular Medicine and Cellular and Molecular Neuroscience, having authored 63 papers that have together received 1.6k indexed citations. Recurring topics across this work include Escherichia coli research studies (8 papers), ECG Monitoring and Analysis (7 papers) and Neuroscience and Neuropharmacology Research (6 papers). The work is most often cited by research in Endocrinology (329 citations), Microbiology (247 citations) and Molecular Medicine (117 citations). David J. Hamilton has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include James M. Fleckenstein, Koushik Roy, Giorgio A. Ascoli, J. Thomas Grayston, C C Kuo, Lee Ann Campbell, Diek W. Wheeler, W.A. Sandham, Christopher L. Rees and Alexander O. Komendantov. Their work appears in journals such as Nature, Journal of Biological Chemistry and Journal of the American College of Cardiology.
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.