Herbert Chase

2.3k citations
56 papers · 1.8k · h-index 24

Impact in

Papers in

    • Biomedical Text Mining and Ontologies 10
    • Ion Transport and Channel Regulation 9
    • Ion channel regulation and function 6
    • Pharmacovigilance and Adverse Drug Reactions 11

Herbert Chase

56 papers receiving 1.7k citations

Peers

Herbert Chase
Comparison fields: 5 of 145
  • Toxicology 432
  • Health Information Management 196
  • Geriatrics and Gerontology 75
  • Computational Theory and Mathematics 299
  • Health Informatics 24
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Countries citing papers authored by Herbert Chase

Since Specialization
Citations

This map shows the geographic impact of Herbert Chase'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 Herbert Chase with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Herbert Chase more than expected).

Fields of papers citing papers by Herbert Chase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Herbert Chase. 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 Herbert Chase. The network helps show where Herbert Chase may publish in the future.

Co-authors

The 25 scholars most cited alongside Herbert Chase, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Herbert Chase Line = papers co-authored together Herbert Chase links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010140
2 2012136
3 1986102
4 201293
5 198189
6 201276
7
Comparing ICD9-encoded diagnoses and NLP-processed discharge summaries for clinical trials pre-screening: a case study.
200871
8 198361
9 199659
10 201057
11 201754
12 201150
13 198443
14
Statistical Mining of Potential Drug Interaction Adverse Effects in FDA's Spontaneous Reporting System.
201042
15
A drug-adverse event extraction algorithm to support pharmacovigilance knowledge mining from PubMed citations.
201139
16 201039
17 201438
18 199037
19 201036
20
Development and validation of an electronic phenotyping algorithm for chronic kidney disease.
201436

About Herbert Chase

Herbert Chase is a scholar working on Molecular Biology, Toxicology, Artificial Intelligence, Health Information Management and Computational Theory and Mathematics, having authored 56 papers that have together received 1.8k indexed citations. Recurring topics across this work include Pharmacovigilance and Adverse Drug Reactions (11 papers), Biomedical Text Mining and Ontologies (10 papers), Ion Transport and Channel Regulation (9 papers), Computational Drug Discovery Methods (7 papers), Electronic Health Records Systems (6 papers), Ion channel regulation and function (6 papers), Statistical Methods in Clinical Trials (4 papers) and Pharmaceutical Practices and Patient Outcomes (3 papers). The work is most often cited by research in Toxicology (432 citations), Health Information Management (196 citations), Geriatrics and Gerontology (75 citations), Computational Theory and Mathematics (299 citations) and Health Informatics (24 citations). Herbert Chase has collaborated with scholars based in United States, Canada and Taiwan. Frequent co-authors include Carol Friedman, Rave Harpaz, Qais Al‐Awqati, Shirley M.E. Wong, Krystl Haerian, Hojjat Salmasian, Santiago Vilar, C Friedman, George Hripcsak and Chunhua Weng. Their work appears in journals such as Journal of the American Medical Informatics Association, American Journal of Physiology-Cell Physiology, American Journal of Physiology-Renal Physiology, The Journal of General Physiology and Clinical Pharmacology & Therapeutics.

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.

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