William M. Dunne
- Epidemiology top 2%
- Infectious Diseases top 1%
- Molecular Biology top 10%
- Geophysics top 2%
- Clinical Biochemistry top 0.5%
- Co-authors
- Craig M. CoopersmithMatthew MauldonRichard S. HotchkissChristopher G. DavisCarey‐Ann D. BurnhamAlex van BelkumDavid A. FerrillDavid K. Warren
- Topics
- Geological and Geochemical Analysis (20 papers)Bacterial Identification and Susceptibility Testing (20 papers)earthquake and tectonic studies (17 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
William M. Dunne
105 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Epidemiology 1.1k
- Infectious Diseases 1.1k
- Molecular Biology 990
- Geophysics 791
- Clinical Biochemistry 772
Countries citing papers authored by William M. Dunne
This map shows the geographic impact of William M. Dunne'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 William M. Dunne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William M. Dunne more than expected).
Fields of papers citing papers by William M. Dunne
This network shows the impact of papers produced by William M. Dunne. 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 William M. Dunne. The network helps show where William M. Dunne may publish in the future.
Co-authorship network of co-authors of William M. Dunne
This figure shows the co-authorship network connecting the top 25 collaborators of William M. Dunne. A scholar is included among the top collaborators of William M. Dunne 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 William M. Dunne. William M. Dunne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 238 | |
| 3 | Evidence for Contraction Within the Leading Hemisphere Section of the South Polar Terrain Boundary, Enceladus | 3 |
| 4 | 21 | |
| 5 | 44 | |
| 6 | 17 | |
| 7 | 106 | |
| 8 | 24 | |
| 9 | 42 | |
| 10 | 14 | |
| 11 | 92 | |
| 12 | 96 | |
| 13 | Extracting fracture characteristics from piercing-type intersections on borehole walls | 3 |
| 14 | 176 | |
| 15 | 24 | |
| 16 | 8 | |
| 17 | Fracture intensity estimates using circular scanlines | 6 |
| 18 | Mean fracture trace length and density estimators using circular windows | 5 |
| 19 | 63 | |
| 20 | 1 |
About William M. Dunne
William M. Dunne is a scholar working on Clinical Biochemistry, Microbiology and Critical Care and Intensive Care Medicine, having authored 108 papers that have together received 4.6k indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (20 papers), Bacterial Identification and Susceptibility Testing (20 papers) and earthquake and tectonic studies (17 papers). The work is most often cited by research in Clinical Biochemistry (772 citations), Geophysics (791 citations) and Infectious Diseases (1.1k citations). William M. Dunne has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Craig M. Coopersmith, Matthew Mauldon, Richard S. Hotchkiss, Christopher G. Davis, Carey‐Ann D. Burnham, Alex van Belkum, David A. Ferrill, David K. Warren, Jared T. Muenzer and Olivier Rochas. Their work appears in journals such as Science, Journal of Clinical Investigation and Journal of Geophysical Research Atmospheres.
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.