Krystl Haerian
- Toxicology top 0.5%
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Artificial Intelligence top 10%
- Health Information Management top 2%
- Co-authors
- Herbert ChaseCarol FriedmanRave HarpazHojjat SalmasianC FriedmanWilliam DuMouchelSantiago VilarNigam H. Shah
- Topics
- Pharmacovigilance and Adverse Drug Reactions (7 papers)Biomedical Text Mining and Ontologies (4 papers)Drug-Induced Adverse Reactions (2 papers)
- Journals
- Human Brain MappingClinical Pharmacology & TherapeuticsJournal of the American Medical Informatics Association
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Krystl Haerian
10 papers receiving 472 citations
Peers
Comparison fields: 5 of 77
- Toxicology 232
- Molecular Biology 158
- Computational Theory and Mathematics 131
- Artificial Intelligence 112
- Health Information Management 74
Countries citing papers authored by Krystl Haerian
This map shows the geographic impact of Krystl Haerian'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 Krystl Haerian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krystl Haerian more than expected).
Fields of papers citing papers by Krystl Haerian
This network shows the impact of papers produced by Krystl Haerian. 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 Krystl Haerian. The network helps show where Krystl Haerian may publish in the future.
Co-authorship network of co-authors of Krystl Haerian
This figure shows the co-authorship network connecting the top 25 collaborators of Krystl Haerian. A scholar is included among the top collaborators of Krystl Haerian 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 Krystl Haerian. Krystl Haerian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | Evaluation considerations for EHR-based phenotyping algorithms: A case study for drug-induced liver injury. | 7 |
| 3 | 51 | |
| 4 | 93 | |
| 5 | 136 | |
| 6 | Methods for identifying suicide or suicidal ideation in EHRs. | 58 |
| 7 | A drug-adverse event extraction algorithm to support pharmacovigilance knowledge mining from PubMed citations. | 39 |
| 8 | Statistical Mining of Potential Drug Interaction Adverse Effects in FDA's Spontaneous Reporting System. | 42 |
| 9 | 39 | |
| 10 | Use of clinical alerting to improve the collection of clinical research data. | 10 |
About Krystl Haerian
Krystl Haerian is a scholar working on Toxicology, Statistics and Probability and Pharmacology, having authored 10 papers that have together received 488 indexed citations. Recurring topics across this work include Pharmacovigilance and Adverse Drug Reactions (7 papers), Biomedical Text Mining and Ontologies (4 papers) and Drug-Induced Adverse Reactions (2 papers). The work is most often cited by research in Toxicology (232 citations), Health Information Management (74 citations) and Geriatrics and Gerontology (42 citations). Krystl Haerian has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Herbert Chase, Carol Friedman, Rave Harpaz, Hojjat Salmasian, C Friedman, William DuMouchel, Santiago Vilar, Nigam H. Shah, Wéi Wang and Chunhua Weng. Their work appears in journals such as Human Brain Mapping, Clinical Pharmacology & Therapeutics and Journal of the American Medical Informatics Association.
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.