Victoria Ngo

671 total citations
32 papers, 469 citations indexed

About

Victoria Ngo is a scholar working on General Health Professions, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Victoria Ngo has authored 32 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in General Health Professions, 7 papers in Molecular Biology and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Victoria Ngo's work include Bioinformatics and Genomic Networks (5 papers), Global Health Workforce Issues (4 papers) and Biomedical Text Mining and Ontologies (4 papers). Victoria Ngo is often cited by papers focused on Bioinformatics and Genomic Networks (5 papers), Global Health Workforce Issues (4 papers) and Biomedical Text Mining and Ontologies (4 papers). Victoria Ngo collaborates with scholars based in United States, Canada and South Korea. Victoria Ngo's co-authors include Nansu Zong, Olivier Harismendy, Hyeoneui Kim, David H. Thom, Thomas Bodenheimer, David Margolius, Genieleah A. Padilla, T. Bodenheimer, Hunter Bennett and Jennifer S. Wong and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and Bioinformatics.

In The Last Decade

Victoria Ngo

27 papers receiving 448 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Victoria Ngo United States 11 147 144 122 58 55 32 469
Hélène E. Aschmann United States 16 90 0.6× 82 0.6× 32 0.3× 50 0.9× 51 0.9× 34 854
Allen Flynn United States 14 94 0.6× 197 1.4× 15 0.1× 19 0.3× 39 0.7× 56 739
Fatemeh Rafiei Iran 14 102 0.7× 43 0.3× 55 0.5× 9 0.2× 23 0.4× 71 522
Muaed Jamal Alomar United Arab Emirates 9 50 0.3× 28 0.2× 69 0.6× 26 0.4× 21 0.4× 38 653
Linda Härmark Netherlands 23 134 0.9× 23 0.2× 75 0.6× 46 0.8× 28 0.5× 59 1.4k
Lisa E. Hines United States 13 82 0.6× 96 0.7× 57 0.5× 23 0.4× 117 2.1× 40 824
Sanjoy Kumer Dey Bangladesh 13 245 1.7× 32 0.2× 220 1.8× 9 0.2× 45 0.8× 65 728
Lise Aagaard Denmark 17 131 0.9× 57 0.4× 55 0.5× 47 0.8× 43 0.8× 41 1.0k
Ola Caster Sweden 14 62 0.4× 24 0.2× 159 1.3× 19 0.3× 33 0.6× 26 832
Olivia Leoni Italy 16 53 0.4× 35 0.2× 22 0.2× 40 0.7× 57 1.0× 82 753

Countries citing papers authored by Victoria Ngo

Since Specialization
Citations

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

Fields of papers citing papers by Victoria Ngo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victoria Ngo

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

All Works

20 of 20 papers shown
2.
Ngo, Victoria, et al.. (2025). Supporting Educational Excellence in Diversity (SEED): faculty development and allyship. BMC Medical Education. 25(1). 275–275.
3.
Trivedi, Ranak, Victoria Ngo, Trevor Lee, et al.. (2024). Barriers to accessing home and community‐based services among family caregivers of Veterans. Journal of the American Geriatrics Society. 72(11). 3541–3550. 1 indexed citations
4.
Ko, Michelle, et al.. (2024). Asian Americans and Racial Justice in Medicine. New England Journal of Medicine. 390(4). 372–378. 3 indexed citations
5.
Ngo, Victoria, et al.. (2023). Caregiver Experience of Tele-dementia Care for Older Veterans. Journal of General Internal Medicine. 38(13). 2960–2969. 8 indexed citations
6.
Ackerman-Barger, Kupiri, Victoria Ngo, Stephen J. Cavanagh, David A. Lubarsky, & Jessica E. Draughon. (2023). Attracting, Admitting, Supporting, and Graduating a Diverse Nursing Student Body. NEJM Catalyst. 5(1).
7.
Ngo, Victoria, et al.. (2023). Severe Acute Respiratory Syndrome Associated Infections. Physician Assistant Clinics. 8(3). 495–530. 3 indexed citations
8.
Ngo, Victoria, et al.. (2023). Influenza Viruses. Physician Assistant Clinics. 8(3). 531–553.
9.
Murray-García, Jann, Victoria Ngo, & Erik Fernández y García. (2023). COVID-19′s Still-Urgent Lessons of Structural Inequality and Child Health in the United States. Journal of the National Medical Association. 115(3). 321–325. 3 indexed citations
10.
Murray-García, Jann, et al.. (2022). California's Central Valley: Teaching Social Determinants of Health and Cultural Humility Through an Interprofessional, Overnight Road Trip. Journal of Health Care for the Poor and Underserved. 33(2). 819–841. 5 indexed citations
11.
Jiang, Chao, et al.. (2022). Deep Denoising of Raw Biomedical Knowledge Graph From COVID-19 Literature, LitCovid, and Pubtator: Framework Development and Validation. Journal of Medical Internet Research. 24(7). e38584–e38584. 6 indexed citations
12.
Waldman, Sarah, Jason Y. Adams, Timothy E. Albertson, et al.. (2021). Real-world impact of vaccination on coronavirus disease 2019 (COVID-19) incidence in healthcare personnel at an academic medical center. Infection Control and Hospital Epidemiology. 43(9). 1194–1200. 6 indexed citations
13.
Zong, Nansu, Victoria Ngo, Andrew Wen, et al.. (2021). Leveraging Genetic Reports and Electronic Health Records for the Prediction of Primary Cancers: Algorithm Development and Validation Study. JMIR Medical Informatics. 9(5). e23586–e23586. 17 indexed citations
14.
Zong, Nansu, et al.. (2018). Tripartite Network-Based Repurposing Method Using Deep Learning to Compute Similarities for Drug-Target Prediction. Methods in molecular biology. 1903. 317–328. 10 indexed citations
15.
Zong, Nansu, Hyeoneui Kim, Victoria Ngo, & Olivier Harismendy. (2017). Deep mining heterogeneous networks of biomedical linked data to predict novel drug–target associations. Bioinformatics. 33(15). 2337–2344. 142 indexed citations
16.
Kim, Katherine, Janice F. Bell, Richard J. Bold, et al.. (2016). A Personal Health Network for Chemotherapy Care Coordination: Evaluation of Usability Among Patients. Studies in health technology and informatics. 225. 232–6. 5 indexed citations
17.
Kim, Sang‐Kyun, et al.. (2016). Structuralizing biomedical abstracts with discriminative linguistic features. Computers in Biology and Medicine. 79. 276–285. 13 indexed citations
18.
Margolius, David, T. Bodenheimer, Hunter Bennett, et al.. (2012). Health Coaching to Improve Hypertension Treatment in a Low-Income, Minority Population. The Annals of Family Medicine. 10(3). 199–205. 76 indexed citations
19.
Ngo, Victoria, Hali Hammer, & Thomas Bodenheimer. (2010). Health Coaching in the Teamlet Model: A Case Study. Journal of General Internal Medicine. 25(12). 1375–1378. 19 indexed citations
20.
Bennett, Heather, Kelsey T. Laird, David Margolius, et al.. (2009). The effectiveness of health coaching, home blood pressure monitoring, and home-titration in controlling hypertension among low-income patients: protocol for a randomized controlled trial. BMC Public Health. 9(1). 456–456. 37 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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