Lisa Bastarache
- Molecular Biology
- Artificial Intelligence top 10%
- Health Information Management top 5%
- Public Health, Environmental and Occupational Health
- Oncology
- Co-authors
- Joshua C. DennyHua XuNeesha N. ChomaJosh F. PetersonRandolph A. MillerNeeraja B. PetersonSon DoanMing Li
- Topics
- Genomics and Rare Diseases (5 papers)Biomedical Text Mining and Ontologies (5 papers)Machine Learning in Healthcare (3 papers)
- Journals
- Nature MedicineSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United StatesPhilippinesUnited Kingdom
In The Last Decade
Lisa Bastarache
19 papers receiving 312 citations
Peers
Comparison fields: 5 of 77
- Molecular Biology 151
- Artificial Intelligence 117
- Health Information Management 58
- Public Health, Environmental and Occupational Health 36
- Oncology 34
Countries citing papers authored by Lisa Bastarache
This map shows the geographic impact of Lisa Bastarache'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 Lisa Bastarache with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa Bastarache more than expected).
Fields of papers citing papers by Lisa Bastarache
This network shows the impact of papers produced by Lisa Bastarache. 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 Lisa Bastarache. The network helps show where Lisa Bastarache may publish in the future.
Co-authorship network of co-authors of Lisa Bastarache
This figure shows the co-authorship network connecting the top 25 collaborators of Lisa Bastarache. A scholar is included among the top collaborators of Lisa Bastarache 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 Lisa Bastarache. Lisa Bastarache 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 | 0 | |
| 3 | 26 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | 3 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 16 | |
| 12 | 2 | |
| 13 | 9 | |
| 14 | 14 | |
| 15 | 19 | |
| 16 | A natural language processing algorithm to define a venous thromboembolism phenotype. | 16 |
| 17 | 62 | |
| 18 | 52 | |
| 19 | 22 | |
| 20 | Development of a natural language processing system to identify timing and status of colonoscopy testing in electronic medical records. | 9 |
About Lisa Bastarache
Lisa Bastarache is a scholar working on Health Informatics, Family Practice and Nephrology, having authored 23 papers that have together received 323 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (5 papers), Biomedical Text Mining and Ontologies (5 papers) and Machine Learning in Healthcare (3 papers). The work is most often cited by research in Health Informatics (18 citations), Health Information Management (58 citations) and Family Practice (12 citations). Lisa Bastarache has collaborated with scholars based in United States, Philippines and United Kingdom. Frequent co-authors include Joshua C. Denny, Hua Xu, Neesha N. Choma, Josh F. Peterson, Randolph A. Miller, Neeraja B. Peterson, Son Doan, Ming Li, Anderson Spickard and Eugenia McPeek Hinz. Their work appears in journals such as Nature Medicine, SHILAP Revista de lepidopterología and PLoS ONE.
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.