David F. Gray
- Molecular Biology
- Immunology top 10%
- Cardiology and Cardiovascular Medicine
- Epidemiology
- Infectious Diseases
- Co-authors
- H RasmussenPaul JenningsPeter S. HansenLivia C. HoolBruce G. RobinsonNiall DillonRagnar LindstedtKatalin Takács
- Topics
- Tuberculosis Research and Epidemiology (9 papers)Ion channel regulation and function (8 papers)Cardiac electrophysiology and arrhythmias (7 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
David F. Gray
37 papers receiving 733 citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 302
- Immunology 223
- Cardiology and Cardiovascular Medicine 141
- Epidemiology 84
- Infectious Diseases 84
Countries citing papers authored by David F. Gray
This map shows the geographic impact of David F. Gray'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 F. Gray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David F. Gray more than expected).
Fields of papers citing papers by David F. Gray
This network shows the impact of papers produced by David F. Gray. 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 F. Gray. The network helps show where David F. Gray may publish in the future.
Co-authorship network of co-authors of David F. Gray
This figure shows the co-authorship network connecting the top 25 collaborators of David F. Gray. A scholar is included among the top collaborators of David F. Gray 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 F. Gray. David F. Gray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 5 | |
| 3 | 12 | |
| 4 | 169 | |
| 5 | 27 | |
| 6 | 28 | |
| 7 | 64 | |
| 8 | 30 | |
| 9 | 1 | |
| 10 | 23 | |
| 11 | 4 | |
| 12 | 37 | |
| 13 | 6 | |
| 14 | 5 | |
| 15 | 15 | |
| 16 | 12 | |
| 17 | 3 | |
| 18 | Detection of Small Numbers of Tubercle Bacilli in Treated Specimens. Comparison of Mice, Guinea Pigs, and Artificial Media. | 1 |
| 19 | 7 | |
| 20 | Detection of small numbers of tubercle bacilli from dispersed cultures, using mice, guinea pigs, and artificial media. | 11 |
About David F. Gray
David F. Gray is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine and Endocrinology, having authored 40 papers that have together received 804 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (9 papers), Ion channel regulation and function (8 papers) and Cardiac electrophysiology and arrhythmias (7 papers). The work is most often cited by research in Immunology (223 citations), Cardiology and Cardiovascular Medicine (141 citations) and Microbiology (31 citations). David F. Gray has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include H Rasmussen, Paul Jennings, Peter S. Hansen, Livia C. Hool, Bruce G. Robinson, Niall Dillon, Ragnar Lindstedt, Katalin Takács, Amanda G. Fisher and Matthias Merkenschlager. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Immunology and Neurology.
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.