Sylvia Sudat

495 total citations
20 papers, 255 citations indexed

About

Sylvia Sudat is a scholar working on Public Health, Environmental and Occupational Health, Pharmacy and General Health Professions. According to data from OpenAlex, Sylvia Sudat has authored 20 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Public Health, Environmental and Occupational Health, 6 papers in Pharmacy and 5 papers in General Health Professions. Recurrent topics in Sylvia Sudat's work include Obesity and Health Practices (6 papers), Obesity, Physical Activity, Diet (4 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (2 papers). Sylvia Sudat is often cited by papers focused on Obesity and Health Practices (6 papers), Obesity, Physical Activity, Diet (4 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (2 papers). Sylvia Sudat collaborates with scholars based in United States and United Kingdom. Sylvia Sudat's co-authors include Alice Pressman, Eric Liu, Kristen M.J. Azar, Robert J. Romanelli, Walter F. Stewart, Dorothy Y. Hung, Dominick L. Frosch, Sarah Robinson, Paul Wesson and Nigam H. Shah and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Gastroenterology.

In The Last Decade

Sylvia Sudat

18 papers receiving 250 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sylvia Sudat United States 8 65 51 49 47 41 20 255
Fernando Lopes Portugal 11 44 0.7× 28 0.5× 38 0.8× 102 2.2× 21 0.5× 25 351
Sergio Terrasa Argentina 12 67 1.0× 18 0.4× 43 0.9× 42 0.9× 61 1.5× 83 373
Tristan Watson Canada 11 78 1.2× 49 1.0× 38 0.8× 31 0.7× 27 0.7× 28 327
Nader Tavakoli Iran 13 64 1.0× 20 0.4× 46 0.9× 41 0.9× 29 0.7× 51 403
Nancy Walton Canada 5 69 1.1× 45 0.9× 55 1.1× 16 0.3× 77 1.9× 8 363
Saad Khan United Kingdom 7 57 0.9× 19 0.4× 101 2.1× 87 1.9× 63 1.5× 13 449
Alexis Skoufalos United States 9 117 1.8× 21 0.4× 73 1.5× 67 1.4× 19 0.5× 22 319
Jason Rho United States 9 131 2.0× 9 0.2× 82 1.7× 30 0.6× 47 1.1× 10 386
Carl T. Berdahl United States 11 90 1.4× 19 0.4× 40 0.8× 34 0.7× 17 0.4× 40 418
Jalal Soleimani United States 10 41 0.6× 17 0.3× 55 1.1× 34 0.7× 17 0.4× 21 234

Countries citing papers authored by Sylvia Sudat

Since Specialization
Citations

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

Fields of papers citing papers by Sylvia Sudat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sylvia Sudat

This figure shows the co-authorship network connecting the top 25 collaborators of Sylvia Sudat. A scholar is included among the top collaborators of Sylvia Sudat 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 Sylvia Sudat. Sylvia Sudat 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
1.
Cozen, Aaron E., Rita Hamad, Gregory M. Marcus, et al.. (2025). Associations between local COVID-19 policies and anxiety in the USA: a longitudinal digital cohort study. BMJ Public Health. 3(1). e001135–e001135.
2.
Sudat, Sylvia, et al.. (2024). PULMONARY HYPERTENSION AS A MORTALITY PREDICTOR IN PATIENTS WITH COVID-19: A RETROSPECTIVE STUDY. CHEST Journal. 166(4). A6520–A6520. 1 indexed citations
3.
Azar, Kristen M.J., et al.. (2023). Examining paradoxical session attendance and weight loss relationships in a clinic based lifestyle modification intervention. Obesity Science & Practice. 9(6). 641–652. 1 indexed citations
4.
Sudat, Sylvia, et al.. (2023). Changes in Healthcare Utilization After Lifestyle Intervention for Weight Loss. American Journal of Preventive Medicine. 66(4). 619–626.
5.
Sudat, Sylvia, et al.. (2022). Racial Disparities in Pulse Oximeter Device Inaccuracy and Estimated Clinical Impact on COVID-19 Treatment Course. American Journal of Epidemiology. 192(5). 703–713. 24 indexed citations
6.
Sudat, Sylvia, et al.. (2021). Mind the clinical-analytic gap: Electronic health records and COVID-19 pandemic response. Journal of Biomedical Informatics. 116. 103715–103715. 25 indexed citations
7.
Goin, Dana E., Sylvia Sudat, Corinne A. Riddell, et al.. (2021). Hyperlocalized Measures of Air Pollution and Preeclampsia in Oakland, California. Environmental Science & Technology. 55(21). 14710–14719. 19 indexed citations
8.
Kehl, Devin W., Brett C. Sheridan, Christian Spies, et al.. (2020). First Comparison Report of the SAPIEN S3 Ultra Balloon Expandable Transcatheter Heart Valve. Structural Heart. 4(6). 504–509. 4 indexed citations
9.
Romanelli, Robert J., Hsiao‐Ching Huang, Sylvia Sudat, Alice Pressman, & Kristen M.J. Azar. (2020). Effectiveness of a Group-Based Lifestyle Change Program Versus Usual Care: An Electronic Health Record, Propensity Score–Matched Cohort Study. American Journal of Preventive Medicine. 59(6). 850–859. 3 indexed citations
10.
Law, Heather, et al.. (2020). Recruitment, retention, and adherence in a randomized feasibility trial of mindfulness-based stress reduction for patients with migraine. Complementary Therapies in Medicine. 55. 102610–102610. 4 indexed citations
11.
Romanelli, Robert J., Kristen M.J. Azar, Sylvia Sudat, et al.. (2020). Learning Health System in Crisis: Lessons From the COVID-19 Pandemic. SHILAP Revista de lepidopterología. 5(1). 171–176. 27 indexed citations
12.
Romanelli, Robert J., et al.. (2019). Early Weight Loss and Treatment Response: Data From a Lifestyle Change Program in Clinical Practice. American Journal of Preventive Medicine. 58(3). 427–435. 4 indexed citations
13.
14.
Jung, Kenneth, et al.. (2019). Predicting need for advanced illness or palliative care in a primary care population using electronic health record data. Journal of Biomedical Informatics. 92. 103115–103115. 14 indexed citations
15.
Romanelli, Robert J., Sylvia Sudat, Jun Ma, et al.. (2019). Short-term weight trajectories and long-term weight outcomes from a lifestyle intervention in real-world clinical practice. Translational Behavioral Medicine. 10(6). 1458–1471. 6 indexed citations
16.
Romanelli, Robert J., Hsiao‐Ching Huang, Jun Ma, et al.. (2019). Longitudinal Weight Outcomes From a Behavioral Lifestyle Intervention in Clinical Practice. The Diabetes Educator. 45(5). 529–543. 7 indexed citations
17.
Sudat, Sylvia, et al.. (2017). Predicting all-cause risk of 30-day hospital readmission using artificial neural networks. PLoS ONE. 12(7). e0181173–e0181173. 89 indexed citations
18.
19.
Law, Heather, Andrew L. Avins, Sylvia Sudat, et al.. (2017). Fidelity Measurement of a Mindfulness-Based Stress Reduction Intervention in a Randomized Controlled Feasibility Trial for Migraine Patients. Journal of patient-centered research and reviews. 4(3). 199–199. 1 indexed citations
20.
Sudat, Sylvia, et al.. (2017). Prevalence and Risk Factors for Gastrointestinal Bleeding in Novel Oral Anticoagulant Users. Gastroenterology. 152(5). S475–S476. 2 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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