Ryan G. Short
- Radiology, Nuclear Medicine and Imaging top 5%
- Endocrinology, Diabetes and Metabolism top 10%
- Surgery
- Infectious Diseases top 10%
- Molecular Biology
- Co-authors
- Sanjeev BhallaNicholas T. BeferaOlga D. CarlsonBenjamin Wildman‐TobrinerJenny K. HoangJosephine M. EganMateusz BudaWilliam D. Middleton
- Topics
- Radiology practices and education (9 papers)Biomedical Text Mining and Ontologies (3 papers)Topic Modeling (3 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingEndocrinology, Diabetes and Metabolism
- Partner nations
- United StatesItalyIreland
In The Last Decade
Ryan G. Short
23 papers receiving 668 citations
Peers
Comparison fields: 5 of 114
- Radiology, Nuclear Medicine and Imaging 244
- Endocrinology, Diabetes and Metabolism 148
- Surgery 127
- Infectious Diseases 120
- Molecular Biology 68
Countries citing papers authored by Ryan G. Short
This map shows the geographic impact of Ryan G. Short'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 Ryan G. Short with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan G. Short more than expected).
Fields of papers citing papers by Ryan G. Short
This network shows the impact of papers produced by Ryan G. Short. 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 Ryan G. Short. The network helps show where Ryan G. Short may publish in the future.
Co-authorship network of co-authors of Ryan G. Short
This figure shows the co-authorship network connecting the top 25 collaborators of Ryan G. Short. A scholar is included among the top collaborators of Ryan G. Short 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 Ryan G. Short. Ryan G. Short 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 | 1 | |
| 3 | 10 | |
| 4 | 2 | |
| 5 | 8 | |
| 6 | 25 | |
| 7 | 4 | |
| 8 | 58 | |
| 9 | 1 | |
| 10 | 103 | |
| 11 | 12 | |
| 12 | 8 | |
| 13 | 24 | |
| 14 | 27 | |
| 15 | 1 | |
| 16 | 44 | |
| 17 | 71 | |
| 18 | 24 | |
| 19 | 39 | |
| 20 | 45 |
About Ryan G. Short
Ryan G. Short is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Behavioral Neuroscience, having authored 24 papers that have together received 693 indexed citations. Recurring topics across this work include Radiology practices and education (9 papers), Biomedical Text Mining and Ontologies (3 papers) and Topic Modeling (3 papers). The work is most often cited by research in Health Informatics (60 citations), Radiology, Nuclear Medicine and Imaging (244 citations) and Endocrinology, Diabetes and Metabolism (148 citations). Ryan G. Short has collaborated with scholars based in United States, Italy and Ireland. Frequent co-authors include Sanjeev Bhalla, Nicholas T. Befera, Olga D. Carlson, Benjamin Wildman‐Tobriner, Jenny K. Hoang, Josephine M. Egan, Mateusz Buda, William D. Middleton, Joshua K. Napora and Franklin N. Tessler. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Radiology.
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.