David L. Woods
- Biomedical Engineering top 5%
- Biomaterials top 5%
- Hepatology top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine
- Co-authors
- Bradford J. WoodMatthew R. DreherAri PartanenKarun SharmaGenevieve C. JacobsPavel YarmolenkoAshish RanjanDieter Haemmerich
- Topics
- Hepatocellular Carcinoma Treatment and Prognosis (16 papers)Ultrasound and Hyperthermia Applications (8 papers)Medical Imaging and Pathology Studies (7 papers)
- Partner nations
- United StatesUnited KingdomFinland
In The Last Decade
David L. Woods
27 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 86
- Biomedical Engineering 695
- Biomaterials 364
- Hepatology 295
- Radiology, Nuclear Medicine and Imaging 283
- Pulmonary and Respiratory Medicine 180
Countries citing papers authored by David L. Woods
This map shows the geographic impact of David L. Woods'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 L. Woods with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David L. Woods more than expected).
Fields of papers citing papers by David L. Woods
This network shows the impact of papers produced by David L. Woods. 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 L. Woods. The network helps show where David L. Woods may publish in the future.
Co-authorship network of co-authors of David L. Woods
This figure shows the co-authorship network connecting the top 25 collaborators of David L. Woods. A scholar is included among the top collaborators of David L. Woods 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 L. Woods. David L. Woods 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 | 2 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 32 | |
| 6 | 35 | |
| 7 | 28 | |
| 8 | 75 | |
| 9 | 18 | |
| 10 | 26 | |
| 11 | 20 | |
| 12 | 18 | |
| 13 | 57 | |
| 14 | 11 | |
| 15 | 217 | |
| 16 | 137 | |
| 17 | 114 | |
| 18 | 80 | |
| 19 | 1 | |
| 20 | Uncoupling protein-3 inversely correlates with resting metabolic rate in fit, young men | 1 |
About David L. Woods
David L. Woods is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging and Biomaterials, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (16 papers), Ultrasound and Hyperthermia Applications (8 papers) and Medical Imaging and Pathology Studies (7 papers). The work is most often cited by research in Hepatology (295 citations), Biomaterials (364 citations) and Biomedical Engineering (695 citations). David L. Woods has collaborated with scholars based in United States, United Kingdom and Finland. Frequent co-authors include Bradford J. Wood, Matthew R. Dreher, Ari Partanen, Karun Sharma, Genevieve C. Jacobs, Pavel Yarmolenko, Ashish Ranjan, Dieter Haemmerich, Andrew L. Lewis and Ayele H. Negussie. Their work appears in journals such as PLoS ONE, Radiology and Journal of Controlled Release.
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.