Karen O’Connor

3.6k total citations · 2 hit papers
57 papers, 1.9k citations indexed

About

Karen O’Connor is a scholar working on Molecular Biology, Toxicology and General Health Professions. According to data from OpenAlex, Karen O’Connor has authored 57 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 13 papers in Toxicology and 11 papers in General Health Professions. Recurrent topics in Karen O’Connor's work include Pharmacovigilance and Adverse Drug Reactions (13 papers), Health Literacy and Information Accessibility (10 papers) and Biomedical Text Mining and Ontologies (9 papers). Karen O’Connor is often cited by papers focused on Pharmacovigilance and Adverse Drug Reactions (13 papers), Health Literacy and Information Accessibility (10 papers) and Biomedical Text Mining and Ontologies (9 papers). Karen O’Connor collaborates with scholars based in United States, United Kingdom and Ireland. Karen O’Connor's co-authors include Graciela Gonzalez‐Hernandez, Abeed Sarker, Rachel Ginn, Azadeh Nikfarjam, Karen L. Smith, Owen I. Corrigan, Davy Weissenbacher, Arjun Magge, Ari Z Klein and Su Golder and has published in prestigious journals such as Bioinformatics, PLoS ONE and International Journal of Pharmaceutics.

In The Last Decade

Karen O’Connor

54 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Pharmacovigilance from social media: mining adverse drug reaction mentions using sequence labeling with word embedding cluster features

2015 376 citations Abeed Sarker, Karen O’Connor et al. Journal of the American Medical Informatics Association profile →
Utilizing social media data for pharmacovigilance: A review

2015 346 citations Abeed Sarker, Karen O’Connor et al. profile →

Peers

Karen O’Connor

TOXIC

SPS

CTM

Azadeh Nikfarjam United States

Abeed Sarker United States

Rachel Ginn United States

Trevor Cohen United States

Graciela Gonzalez‐Hernandez United States

Eiji Aramaki Japan

Jingcheng Du United States

Angus Roberts United Kingdom

Adrian Benton United States

Roxana Daneshjou United States

Azadeh Nikfarjam United States

Karen O’Connor

554 ×0.8

421 ×0.9

505 ×1.0

TOXIC

186 ×0.8

SPS

287 ×1.2

CTM

Citations per year, relative to Karen O’Connor Karen O’Connor (= 1×) peers Azadeh Nikfarjam

Countries citing papers authored by Karen O’Connor

Since Specialization

Citations

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

Fields of papers citing papers by Karen O’Connor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karen O’Connor. 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 Karen O’Connor. The network helps show where Karen O’Connor may publish in the future.

Co-authorship network of co-authors of Karen O’Connor

This figure shows the co-authorship network connecting the top 25 collaborators of Karen O’Connor. A scholar is included among the top collaborators of Karen O’Connor 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 Karen O’Connor. Karen O’Connor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Golder, Su, Dongfang Xu, Karen O’Connor, et al.. (2025). Leveraging Natural Language Processing and Machine Learning Methods for Adverse Drug Event Detection in Electronic Health/Medical Records: A Scoping Review. Drug Safety. 48(4). 321–337. 6 indexed citations

Golder, Su, et al.. (2025). Leveraging Unstructured Data in Electronic Health Records to Detect Adverse Events from Pediatric Drug Use: A Scoping Review. PubMed. 8(1). 227–250. 1 indexed citations

Golder, Su, Karen O’Connor, Davy Weissenbacher, et al.. (2023). Patient-Reported Reasons for Antihypertensive Medication Change: A Quantitative Study Using Social Media. Drug Safety. 47(1). 81–91. 2 indexed citations

Golder, Su, Karen O’Connor, Yunwen Wang, & Graciela Gonzalez‐Hernandez. (2023). The Role of Social Media for Identifying Adverse Drug Events Data in Pharmacovigilance: Protocol for a Scoping Review. JMIR Research Protocols. 12. e47068–e47068. 5 indexed citations

Golder, Su, et al.. (2023). Reasons for Discontinuation or Change of Selective Serotonin Reuptake Inhibitors in Online Drug Reviews. JAMA Network Open. 6(7). e2323746–e2323746. 10 indexed citations

Golder, Su, Karen O’Connor, Yunwen Wang, Robin Stevens, & Graciela Gonzalez‐Hernandez. (2022). Best Practices on Big Data Analytics to Address Sex-Specific Biases in Our Understanding of the Etiology, Diagnosis, and Prognosis of Diseases. PubMed. 5(1). 251–267. 5 indexed citations

Klein, Ari Z, Arjun Magge, Karen O’Connor, & Graciela Gonzalez‐Hernandez. (2022). Automatically Identifying Twitter Users for Interventions to Support Dementia Family Caregivers: Annotated Data Set and Benchmark Classification Models. JMIR Aging. 5(3). e39547–e39547. 8 indexed citations

Weissenbacher, Davy, Suyu Ge, Ari Z Klein, et al.. (2021). Active neural networks to detect mentions of changes to medication treatment in social media. Journal of the American Medical Informatics Association. 28(12). 2551–2561. 8 indexed citations

Magge, Arjun, Ari Z Klein, Mohammed Ali Al-Garadi, et al.. (2021). Overview of the Sixth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at NAACL 2021. 21–32. 45 indexed citations

10.

Golder, Su, Robin Stevens, Karen O’Connor, Richard James, & Graciela Gonzalez‐Hernandez. (2021). Who is Tweeting? A Scoping Review of Methods to Establish Race and Ethnicity from Twitter Datasets. SocArXiv (OSF Preprints). 2 indexed citations

11.

Klein, Ari Z, Ilseyar Alimova, Arjun Magge, et al.. (2020). Overview of the Fifth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2020. HAL (Le Centre pour la Communication Scientifique Directe). 27–36. 32 indexed citations

12.

Wexler, Anna, et al.. (2020). Pregnancy and health in the age of the Internet: A content analysis of online “birth club” forums. PLoS ONE. 15(4). e0230947–e0230947. 34 indexed citations

13.

Golder, Su, Karen L. Smith, Karen O’Connor, et al.. (2020). A Comparative View of Reported Adverse Effects of Statins in Social Media, Regulatory Data, Drug Information Databases and Systematic Reviews. Drug Safety. 44(2). 167–179. 13 indexed citations

14.

Weissenbacher, Davy, Abeed Sarker, Ari Z Klein, et al.. (2019). Deep neural networks ensemble for detecting medication mentions in tweets. Journal of the American Medical Informatics Association. 26(12). 1618–1626. 29 indexed citations

15.

O’Connor, Karen, Abeed Sarker, Jeanmarie Perrone, & Graciela Gonzalez‐Hernandez. (2019). Promoting Reproducible Research for Characterizing Nonmedical Use of Medications Through Data Annotation: Description of a Twitter Corpus and Guidelines. Journal of Medical Internet Research. 22(2). e15861–e15861. 19 indexed citations

16.

Scotch, Matthew, Davy Weissenbacher, Karen O’Connor, et al.. (2018). Incorporating sampling uncertainty in the geospatial assignment of taxa for virus phylogeography. Virus Evolution. 5(1). vey043–vey043. 11 indexed citations

17.

Smith, Karen L., Su Golder, Abeed Sarker, et al.. (2018). Methods to Compare Adverse Events in Twitter to FAERS, Drug Information Databases, and Systematic Reviews: Proof of Concept with Adalimumab. Drug Safety. 41(12). 1397–1410. 27 indexed citations

18.

Gonzalez‐Hernandez, Graciela, Abeed Sarker, Karen O’Connor, & Guergana Savova. (2017). Capturing the Patient’s Perspective: a Review of Advances in Natural Language Processing of Health-Related Text. Yearbook of Medical Informatics. 26(1). 214–227. 89 indexed citations

19.

Fenalti, Gustavo, Christiane S. Hampe, Karen O’Connor, et al.. (2006). Molecular characterization of a disease associated conformational epitope on GAD65 recognised by a human monoclonal antibody b96.11. Molecular Immunology. 44(6). 1178–1189. 14 indexed citations

20.

Rowley, Merrill J., Karen O’Connor, & Lakshmi C. Wijeyewickrema. (2004). Phage display for epitope determination: A paradigm for identifying receptor–ligand interactions. PubMed. 10. 151–188. 69 indexed citations

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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