Joseph Davis
- Pulmonary and Respiratory Medicine top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Epidemiology
- Surgery
- Co-authors
- Chun YuanThomas S. HatsukamiNayak L. PolissarMarina S. FergusonAlice DowdyDaniel IsquithMoni B. NeradilekXue-Qiao Zhao
- Topics
- Lipoproteins and Cardiovascular Health (3 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers)Modular Robots and Swarm Intelligence (1 paper)
- Cited by
- Pulmonary and Respiratory MedicineCardiology and Cardiovascular MedicineRadiology, Nuclear Medicine and Imaging
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Joseph Davis
6 papers receiving 341 citations
Peers
Comparison fields: 5 of 37
- Pulmonary and Respiratory Medicine 292
- Cardiology and Cardiovascular Medicine 201
- Radiology, Nuclear Medicine and Imaging 170
- Epidemiology 116
- Surgery 87
Countries citing papers authored by Joseph Davis
This map shows the geographic impact of Joseph Davis'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 Joseph Davis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph Davis more than expected).
Fields of papers citing papers by Joseph Davis
This network shows the impact of papers produced by Joseph Davis. 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 Joseph Davis. The network helps show where Joseph Davis may publish in the future.
Co-authorship network of co-authors of Joseph Davis
This figure shows the co-authorship network connecting the top 25 collaborators of Joseph Davis. A scholar is included among the top collaborators of Joseph Davis 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 Joseph Davis. Joseph Davis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 333 | |
| 6 | An analysis of tissues for total PCB and planar PCB concentrations in marine mammals stranded along the Gulf of Mexico | 2 |
| 7 | 1 |
About Joseph Davis
Joseph Davis is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Pollution, having authored 7 papers that have together received 347 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Modular Robots and Swarm Intelligence (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (292 citations), Cardiology and Cardiovascular Medicine (201 citations) and Radiology, Nuclear Medicine and Imaging (170 citations). Joseph Davis has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Chun Yuan, Thomas S. Hatsukami, Nayak L. Polissar, Marina S. Ferguson, Alice Dowdy, Daniel Isquith, Moni B. Neradilek, Xue-Qiao Zhao, B. Greg Brown and A. Moore. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and Journal of clinical lipidology.
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.