Danielle L. Mowery

3.2k total citations
73 papers, 936 citations indexed

About

Danielle L. Mowery is a scholar working on Artificial Intelligence, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Danielle L. Mowery has authored 73 papers receiving a total of 936 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 30 papers in Molecular Biology and 12 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Danielle L. Mowery's work include Biomedical Text Mining and Ontologies (29 papers), Topic Modeling (19 papers) and Natural Language Processing Techniques (15 papers). Danielle L. Mowery is often cited by papers focused on Biomedical Text Mining and Ontologies (29 papers), Topic Modeling (19 papers) and Natural Language Processing Techniques (15 papers). Danielle L. Mowery collaborates with scholars based in United States, Sweden and Australia. Danielle L. Mowery's co-authors include Wendy W. Chapman, Mike Conway, Brett R. South, Sumithra Velupillai, Craig J. Bryan, Maria Kvist, Brian E. Chapman, Salomeh Keyhani, Hilary A. Smith and Hercules Dalianis and has published in prestigious journals such as PLoS ONE, Journal of the American Geriatrics Society and American Journal of Preventive Medicine.

In The Last Decade

Danielle L. Mowery

69 papers receiving 906 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Danielle L. Mowery United States	19	399	260	127	120	115	73	936
Caitlin Dreisbach United States	14	216 0.5×	218 0.8×	57 0.4×	146 1.2×	62 0.5×	44	965
Theresa A. Koleck United States	16	215 0.5×	152 0.6×	38 0.3×	136 1.1×	75 0.7×	41	898
Suzanne Tamang United States	14	492 1.2×	143 0.6×	63 0.5×	126 1.1×	146 1.3×	66	1.4k
Sergey Goryachev United States	17	623 1.6×	531 2.0×	45 0.4×	122 1.0×	113 1.0×	30	1.3k
Olga V. Patterson United States	18	206 0.5×	150 0.6×	71 0.6×	88 0.7×	230 2.0×	70	974
Jihad S. Obeid United States	25	247 0.6×	667 2.6×	92 0.7×	300 2.5×	111 1.0×	84	1.9k
Yiye Zhang United States	15	183 0.5×	88 0.3×	44 0.3×	80 0.7×	96 0.8×	67	983
Brian Hazlehurst United States	18	153 0.4×	132 0.5×	80 0.6×	181 1.5×	84 0.7×	42	970
Thomas R. Campion United States	19	132 0.3×	79 0.3×	51 0.4×	187 1.6×	97 0.8×	64	988
Emily Alsentzer United States	9	827 2.1×	333 1.3×	51 0.4×	47 0.4×	58 0.5×	22	1.2k

Countries citing papers authored by Danielle L. Mowery

Since Specialization

Citations

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

Fields of papers citing papers by Danielle L. Mowery

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle L. Mowery. 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 Danielle L. Mowery. The network helps show where Danielle L. Mowery may publish in the future.

Co-authorship network of co-authors of Danielle L. Mowery

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle L. Mowery. A scholar is included among the top collaborators of Danielle L. Mowery 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 Danielle L. Mowery. Danielle L. Mowery 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

Brown, Gregory K., Courtney Benjamin Wolk, Kelly L. Green, et al.. (2024). Safety planning intervention and follow-up: A telehealth service model for suicidal individuals in emergency department settings: Study design and protocol. Contemporary Clinical Trials. 140. 107492–107492.

Schriver, Emily, et al.. (2024). Using Natural Language Processing to Extract and Classify Symptoms Among Patients with Thyroid Dysfunction. Studies in health technology and informatics. 310. 614–618. 1 indexed citations

Dublin, Sascha, Juliessa M. Pavon, Susan N. Hastings, et al.. (2024). Defining key deprescribing measures from electronic health data: A multisite data harmonization project. Journal of the American Geriatrics Society. 73(2). 399–410. 3 indexed citations

Poulsen, Melissa N., et al.. (2024). Developing a Framework to Infer Opioid Use Disorder Severity From Clinical Notes to Inform Natural Language Processing Methods: Characterization Study. JMIR Mental Health. 11. e53366–e53366. 4 indexed citations

Urbanowicz, Ryan J., et al.. (2023). Toward Predicting 30-Day Readmission Among Oncology Patients: Identifying Timely and Actionable Risk Factors. JCO Clinical Cancer Informatics. 7(7). e2200097–e2200097. 5 indexed citations

Ellis, Colin A., Emily Schriver, Debbie Smith, et al.. (2023). Characterizing the treatment gap in the United States among adult patients with a new diagnosis of epilepsy. Epilepsia. 64(7). 1862–1872. 2 indexed citations

Brown, Lily A., Jesse Golinkoff, María A. Oquendo, et al.. (2023). A Suicide Prevention Intervention for Emerging Adult Sexual and Gender Minority Groups: Protocol for a Pilot Hybrid Effectiveness Randomized Controlled Trial. JMIR Research Protocols. 12. e48177–e48177. 1 indexed citations

King, Andrew J., Jennifer B. Seaman, Gregory F. Cooper, et al.. (2023). Measuring Performance on the ABCDEF Bundle During Interprofessional Rounds via a Nurse-Based Assessment Tool. American Journal of Critical Care. 32(2). 92–99. 3 indexed citations

King, Andrew J., Jeremy M. Kahn, Emily Brant, Gregory F. Cooper, & Danielle L. Mowery. (2022). Initial Development of an Automated Platform for Assessing Trainee Performance on Case Presentations. ATS Scholar. 3(4). 548–560. 8 indexed citations

10.

Davoudi, Anahita, et al.. (2022). Identifying Medication-Related Intents From a Bidirectional Text Messaging Platform for Hypertension Management Using an Unsupervised Learning Approach: Retrospective Observational Pilot Study. Journal of Medical Internet Research. 24(6). e36151–e36151. 2 indexed citations

11.

Yu, Shun, Anh N. Le, Emily Feld, et al.. (2021). A Natural Language Processing–Assisted Extraction System for Gleason Scores: Development and Usability Study. JMIR Cancer. 7(3). e27970–e27970. 7 indexed citations

12.

Miller, Mark A., et al.. (2020). A novel tool for standardizing clinical data in a semantically rich model. Journal of Biomedical Informatics. 112. 100086–100086. 7 indexed citations

13.

Davoudi, Anahita, Corey Chivers, Catherine Reitz, et al.. (2020). Patient Interaction Phenotypes With an Automated Remote Hypertension Monitoring Program and Their Association With Blood Pressure Control: Observational Study. Journal of Medical Internet Research. 22(12). e22493–e22493. 10 indexed citations

14.

Falcone, Mary, Chongliang Luo, Yong Chen, et al.. (2020). Risk of Persistent Opioid Use following Major Surgery in Matched Samples of Patients with and without Cancer. Cancer Epidemiology Biomarkers & Prevention. 29(11). 2126–2133. 7 indexed citations

15.

Mowery, Danielle L., et al.. (2016). RuSH: a Rule-based Segmentation Tool Using Hashing for Extremely Accurate Sentence Segmentation of Clinical Text.. AMIA. 3 indexed citations

16.

Mowery, Danielle L., Albert Park, Craig J. Bryan, & Mike Conway. (2016). Towards Automatically Classifying Depressive Symptoms from Twitter Data for Population Health. International Conference on Computational Linguistics. 182–191. 26 indexed citations

17.

Mowery, Danielle L., Brett R. South, Maria Kvist, Hercules Dalianis, & Sumithra Velupillai. (2015). Recent Advances in Clinical Natural Language Processing in Support of Semantic Analysis. Yearbook of Medical Informatics. 24(1). 183–193. 55 indexed citations

18.

Mowery, Danielle L., et al.. (2014). Developing a Knowledge Base for Detecting Carotid Stenosis with pyConText.. AMIA. 2 indexed citations

19.

Mowery, Danielle L., Sumithra Velupillai, & Wendy W. Chapman. (2012). Medical diagnosis lost in translation -- Analysis of uncertainty and negation expressions in English and Swedish clinical texts. KTH Publication Database DiVA (KTH Royal Institute of Technology). 56–64. 9 indexed citations

20.

South, Brett R., Danielle L. Mowery, Óscar Ferrández, et al.. (2012). On the Road Towards Developing a Publicly Available Corpus of De-identified Clinical Texts.. AMIA. 1 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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