Sonya E. Shooshan
- Artificial Intelligence top 2%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 5%
- Computer Vision and Pattern Recognition top 5%
- Health Informatics top 2%
- Co-authors
- Dina Demner‐FushmanLaritza RodriguezMarc KohliMarc B. RosenmanGeorge R. ThomaClement J. McDonaldSameer AntaniAlan R. Aronson
- Topics
- Biomedical Text Mining and Ontologies (17 papers)Topic Modeling (13 papers)Semantic Web and Ontologies (7 papers)
- Partner nations
- United StatesFrance
In The Last Decade
Sonya E. Shooshan
21 papers receiving 874 citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Artificial Intelligence 635
- Molecular Biology 275
- Radiology, Nuclear Medicine and Imaging 268
- Computer Vision and Pattern Recognition 247
- Health Informatics 74
Countries citing papers authored by Sonya E. Shooshan
This map shows the geographic impact of Sonya E. Shooshan'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 Sonya E. Shooshan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonya E. Shooshan more than expected).
Fields of papers citing papers by Sonya E. Shooshan
This network shows the impact of papers produced by Sonya E. Shooshan. 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 Sonya E. Shooshan. The network helps show where Sonya E. Shooshan may publish in the future.
Co-authorship network of co-authors of Sonya E. Shooshan
This figure shows the co-authorship network connecting the top 25 collaborators of Sonya E. Shooshan. A scholar is included among the top collaborators of Sonya E. Shooshan 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 Sonya E. Shooshan. Sonya E. Shooshan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 38 | |
| 3 | 27 | |
| 4 | 18 | |
| 5 | A Hybrid Approach to Generation of Missing Abstracts in Biomedical Literature | 1 |
| 6 | Resource Classification for Medical Questions. | 4 |
| 7 | Annotating Named Entities in Consumer Health Questions | 10 |
| 8 | 29 | |
| 9 | Preparing a collection of radiology examinations for distribution and retrievalbreakdown → | 576 |
| 10 | Automatic Extraction and Post-coordination of Spatial Relations in Consumer Language. | 5 |
| 11 | 27 | |
| 12 | 25 | |
| 13 | 39 | |
| 14 | 13 | |
| 15 | Methodology for creating UMLS content views appropriate for biomedical natural language processing. | 14 |
| 16 | 1 | |
| 17 | Fine-grained indexing of the biomedical literature: MeSH subheading attachment for a MEDLINE indexing tool. | 10 |
| 18 | 16 | |
| 19 | The NLM Gateway: a metasearch engine for disparate resources. | 3 |
| 20 | Communication on a listserv for health information professionals: uses and users of MEDLIB-L. | 25 |
About Sonya E. Shooshan
Sonya E. Shooshan is a scholar working on Toxicology, Artificial Intelligence and Molecular Biology, having authored 21 papers that have together received 905 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (17 papers), Topic Modeling (13 papers) and Semantic Web and Ontologies (7 papers). The work is most often cited by research in Health Informatics (74 citations), Artificial Intelligence (635 citations) and Medical Terminology (4 citations). Sonya E. Shooshan has collaborated with scholars based in United States and France. Frequent co-authors include Dina Demner‐Fushman, Laritza Rodriguez, Marc Kohli, Marc B. Rosenman, George R. Thoma, Clement J. McDonald, Sameer Antani, Alan R. Aronson, James G. Mork and Aurélie Névéol. Their work appears in journals such as BMC Bioinformatics, Journal of the American Medical Informatics Association and Scientific Data.
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.