David J. Stone
- Molecular Biology top 5%
- Physiology top 2%
- Cellular and Molecular Neuroscience top 2%
- Epidemiology top 5%
- Neurology top 1%
- Co-authors
- Leo Anthony CeliIrina RozovskyTodd E. MorganChristopher P. AndersonJohn H. BowieTom PollardMichael J. TylerAlistair E. W. Johnson
- Topics
- Sepsis Diagnosis and Treatment (16 papers)Alzheimer's disease research and treatments (15 papers)Machine Learning in Healthcare (13 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
David J. Stone
138 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 198
- Molecular Biology 1.4k
- Physiology 965
- Cellular and Molecular Neuroscience 855
- Epidemiology 728
- Neurology 569
Countries citing papers authored by David J. Stone
This map shows the geographic impact of David J. Stone'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. Stone 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. Stone more than expected).
Fields of papers citing papers by David J. Stone
This network shows the impact of papers produced by David J. Stone. 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. Stone. The network helps show where David J. Stone may publish in the future.
Co-authorship network of co-authors of David J. Stone
This figure shows the co-authorship network connecting the top 25 collaborators of David J. Stone. A scholar is included among the top collaborators of David J. Stone 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. Stone. David J. Stone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 40 | |
| 2 | 22 | |
| 3 | 109 | |
| 4 | 1 | |
| 5 | 13 | |
| 6 | 46 | |
| 7 | 11 | |
| 8 | 12 | |
| 9 | 12 | |
| 10 | 58 | |
| 11 | 41 | |
| 12 | 14 | |
| 13 | 256 | |
| 14 | 148 | |
| 15 | Murray Darling Basin Isotope Observations: an Essential Component of the Australian CEOP | 3 |
| 16 | 12 | |
| 17 | Perioperative care : anesthesia, medicine, and surgery | 3 |
| 18 | 112 | |
| 19 | Peptides from Australian frogs. The structures of the caerins and caeridins from Litoria gilleni | 6 |
| 20 | 3 |
About David J. Stone
David J. Stone is a scholar working on Health Informatics, Biological Psychiatry and Health Information Management, having authored 140 papers that have together received 5.7k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (16 papers), Alzheimer's disease research and treatments (15 papers) and Machine Learning in Healthcare (13 papers). The work is most often cited by research in Health Informatics (203 citations), Biological Psychiatry (181 citations) and Neurology (569 citations). David J. Stone has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Leo Anthony Celi, Irina Rozovsky, Todd E. Morgan, Christopher P. Anderson, John H. Bowie, Tom Pollard, Michael J. Tyler, Alistair E. W. Johnson, Caleb E. Finch and Caleb E. Finch. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.