Jordan D. LeGout
- Hepatology top 5%
- Surgery
- Pulmonary and Respiratory Medicine
- Epidemiology
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Ricardo Paz‐FumagalliJason S. LewisKristopher P. CroomeBeau B. ToskichG. FreyCandice W. BolanAndrew R. LewisLauren F. Alexander
- Topics
- Hepatocellular Carcinoma Treatment and Prognosis (8 papers)Prostate Cancer Diagnosis and Treatment (7 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaRadiographicsEuropean Journal of Nuclear Medicine and Molecular Imaging
- Partner nations
- United StatesJapanNetherlands
In The Last Decade
Jordan D. LeGout
24 papers receiving 236 citations
Peers
Comparison fields: 5 of 44
- Hepatology 142
- Surgery 74
- Pulmonary and Respiratory Medicine 65
- Epidemiology 64
- Radiology, Nuclear Medicine and Imaging 57
Countries citing papers authored by Jordan D. LeGout
This map shows the geographic impact of Jordan D. LeGout'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 Jordan D. LeGout with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jordan D. LeGout more than expected).
Fields of papers citing papers by Jordan D. LeGout
This network shows the impact of papers produced by Jordan D. LeGout. 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 Jordan D. LeGout. The network helps show where Jordan D. LeGout may publish in the future.
Co-authorship network of co-authors of Jordan D. LeGout
This figure shows the co-authorship network connecting the top 25 collaborators of Jordan D. LeGout. A scholar is included among the top collaborators of Jordan D. LeGout 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 Jordan D. LeGout. Jordan D. LeGout 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 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 6 | |
| 9 | 0 | |
| 10 | 5 | |
| 11 | 33 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | 29 | |
| 15 | 10 | |
| 16 | 20 | |
| 17 | 17 | |
| 18 | 5 | |
| 19 | 8 | |
| 20 | 5 |
About Jordan D. LeGout
Jordan D. LeGout is a scholar working on Hepatology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 29 papers that have together received 236 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Prostate Cancer Diagnosis and Treatment (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). The work is most often cited by research in Hepatology (142 citations), Radiology, Nuclear Medicine and Imaging (57 citations) and Health Informatics (3 citations). Jordan D. LeGout has collaborated with scholars based in United States, Japan and Netherlands. Frequent co-authors include Ricardo Paz‐Fumagalli, Jason S. Lewis, Kristopher P. Croome, Beau B. Toskich, G. Frey, Candice W. Bolan, Andrew R. Lewis, Lauren F. Alexander, Zlatko Devcic and David M. Sella. Their work appears in journals such as SHILAP Revista de lepidopterología, Radiographics and European Journal of Nuclear Medicine and Molecular Imaging.
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.