Mary Ann Sevick

9.1k total citations · 2 hit papers
141 papers, 6.6k citations indexed

About

Mary Ann Sevick is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Mary Ann Sevick has authored 141 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in General Health Professions, 41 papers in Public Health, Environmental and Occupational Health and 36 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Mary Ann Sevick's work include Mobile Health and mHealth Applications (30 papers), Diabetes Management and Education (21 papers) and Dialysis and Renal Disease Management (21 papers). Mary Ann Sevick is often cited by papers focused on Mobile Health and mHealth Applications (30 papers), Diabetes Management and Education (21 papers) and Dialysis and Renal Disease Management (21 papers). Mary Ann Sevick collaborates with scholars based in United States, Israel and United Kingdom. Mary Ann Sevick's co-authors include Lora E. Burke, Jing Wang, Peter Tufano, W. Jack Rejeski, Walter H. Ettinger, Richard F. Loeser, Gary D. Miller, Stephen P. Messier, Jeff D. Williamson and Susan M. Sereika and has published in prestigious journals such as The Lancet, JAMA and Circulation.

In The Last Decade

Mary Ann Sevick

132 papers receiving 6.3k citations

Hit Papers

align trajectories sort by overperformance

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.

Self-Monitoring in Weight Loss: A Systematic Review of the Literature

2010 884 citations Lora E. Burke, Mary Ann Sevick et al. profile →
Exercise and dietary weight loss in overweight and obese older adults with knee osteoarthritis: The arthritis, diet, and activity promotion trial

2004 787 citations Mary Ann Sevick et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mary Ann Sevick United States	40	2.0k	1.7k	1.3k	761	682	141	6.6k
Robert Horne United Kingdom	46	2.3k 1.1×	1.2k 0.7×	1.3k 1.0×	1.1k 1.4×	821 1.2×	154	13.0k
Rob Horne United Kingdom	46	1.3k 0.7×	709 0.4×	1.6k 1.2×	688 0.9×	349 0.5×	147	8.8k
Sally Kerry United Kingdom	44	1.4k 0.7×	1.4k 0.8×	930 0.7×	536 0.7×	433 0.6×	142	6.9k
Paul G. McGovern United States	52	2.0k 1.0×	2.2k 1.3×	1.6k 1.2×	585 0.8×	765 1.1×	121	10.2k
Matthew L. Maciejewski United States	51	2.7k 1.3×	2.0k 1.2×	1.1k 0.8×	724 1.0×	1.1k 1.6×	312	9.7k
Kurt J. Greenlund United States	50	1.6k 0.8×	1.8k 1.1×	909 0.7×	503 0.7×	670 1.0×	178	8.2k
Kate L. Lapane United States	60	3.2k 1.6×	2.1k 1.2×	1.2k 0.9×	975 1.3×	418 0.6×	428	12.9k
Silvia Evers Netherlands	48	2.2k 1.1×	975 0.6×	1.1k 0.8×	1.1k 1.4×	272 0.4×	437	10.1k
Gbenga Ogedegbe United States	51	1.7k 0.8×	1.6k 1.0×	1.1k 0.8×	518 0.7×	840 1.2×	201	11.2k
Patrick McElduff Australia	52	1.3k 0.7×	1.5k 0.9×	1.4k 1.0×	444 0.6×	1.1k 1.6×	238	9.8k

Countries citing papers authored by Mary Ann Sevick

Since Specialization

Citations

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

Fields of papers citing papers by Mary Ann Sevick

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary Ann Sevick. 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 Mary Ann Sevick. The network helps show where Mary Ann Sevick may publish in the future.

Co-authorship network of co-authors of Mary Ann Sevick

This figure shows the co-authorship network connecting the top 25 collaborators of Mary Ann Sevick. A scholar is included among the top collaborators of Mary Ann Sevick 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 Mary Ann Sevick. Mary Ann Sevick 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

Wang, Chan, Lu Hu, Souptik Barua, et al.. (2025). Baseline Characteristics of Weight-Loss Success in a Personalized Nutrition Intervention: A Secondary Analysis. Nutrients. 17(13). 2178–2178.

Shi, Yun, Mary Ann Sevick, Nadia Islam, et al.. (2025). A Culturally and Linguistically Tailored Intervention to Improve Diabetes-Related Outcomes in Chinese Americans With Type 2 Diabetes: Pilot Randomized Controlled Trial. JMIR mhealth and uhealth. 13. e78036–e78036.

Shi, Yun, Mary Ann Sevick, Huilin Li, et al.. (2024). The Integrating Cultural Aspects Into Diabetes Education (INCLUDE) Study to Prevent Diabetes in Chinese Immigrants: Protocol for a Randomized Controlled Trial. JMIR Research Protocols. 13. e65455–e65455.

Hu, Lu, Yun Shi, Judith Wylie‐Rosett, et al.. (2024). Feasibility of a family-oriented mHealth intervention for Chinese Americans with type 2 diabetes: A pilot randomized control trial. PLoS ONE. 19(3). e0299799–e0299799. 3 indexed citations

Shi, Yun, Chan Wang, Mary Ann Sevick, et al.. (2024). Diabetes Distress and Associated Factors Among Chinese Americans with Type 2 Diabetes in New York City. Diabetes Metabolic Syndrome and Obesity. Volume 17. 2845–2853.

Beasley, Jeannette M., Emily Johnston, Mary Ann Sevick, et al.. (2023). Study protocol: BRInging the Diabetes prevention program to GEriatric Populations. Frontiers in Medicine. 10. 1144156–1144156. 2 indexed citations

Wang, Chan, Adam Hoover, David E. St‐Jules, et al.. (2023). Objective Determination of Eating Occasion Timing: Combining Self-Report, Wrist Motion, and Continuous Glucose Monitoring to Detect Eating Occasions in Adults With Prediabetes and Obesity. Journal of Diabetes Science and Technology. 18(2). 266–272. 4 indexed citations

Kwon, Sophia, Rachel Lam, George Crowley, et al.. (2023). 282 Food Intake REstriction for Health OUtcome Support and Education (FIREHOUSE): a Proof of Concept Randomized Clinical Trial. Journal of Clinical and Translational Science. 7(s1). 84–84. 1 indexed citations

Islam, Nadia, et al.. (2022). Leveraging Social Media to Increase Access to an Evidence-Based Diabetes Intervention Among Low-Income Chinese Immigrants: Protocol for a Pilot Randomized Controlled Trial. JMIR Research Protocols. 11(10). e42554–e42554. 7 indexed citations

10.

Hu, Lu, et al.. (2021). Mobile Device Ownership, Current Use, and Interest in Mobile Health Interventions Among Low-Income Older Chinese Immigrants With Type 2 Diabetes: Cross-sectional Survey Study. JMIR Aging. 5(1). e27355–e27355. 9 indexed citations

11.

Kwon, Sophia, George Crowley, Rachel Lam, et al.. (2020). Food Intake REstriction for Health OUtcome Support and Education (FIREHOUSE) Protocol: A Randomized Clinical Trial. International Journal of Environmental Research and Public Health. 17(18). 6569–6569. 3 indexed citations

12.

Rogers, Erin, et al.. (2019). Barriers and Facilitators to the Implementation of a Mobile Insulin Titration Intervention for Patients With Uncontrolled Diabetes: A Qualitative Analysis. JMIR mhealth and uhealth. 7(7). e13906–e13906. 13 indexed citations

13.

Nguyen, Lisa, Lu Hu, Aisha T. Langford, et al.. (2018). Transition of a Text-Based Insulin Titration Program From a Randomized Controlled Trial Into Real-World Settings: Implementation Study. Journal of Medical Internet Research. 20(3). e93–e93. 20 indexed citations

14.

Langford, Aisha T., et al.. (2018). Sociodemographic and clinical correlates of key outcomes from a Mobile Insulin Titration Intervention (MITI) for medically underserved patients. Patient Education and Counseling. 102(3). 520–527. 7 indexed citations

15.

St‐Jules, David E., et al.. (2016). Reexamining the Phosphorus–Protein Dilemma: Does Phosphorus Restriction Compromise Protein Status?. Journal of Renal Nutrition. 26(3). 136–140. 30 indexed citations

16.

Stone, Roslyn A., Mary Ann Sevick, R Harsha Rao, et al.. (2012). The Diabetes Telemonitoring Study Extension: an exploratory randomized comparison of alternative interventions to maintain glycemic control after withdrawal of diabetes home telemonitoring. Journal of the American Medical Informatics Association. 19(6). 973–979. 17 indexed citations

17.

Burke, Lora E., Molly B. Conroy, Susan M. Sereika, et al.. (2010). The Effect of Electronic Self‐Monitoring on Weight Loss and Dietary Intake: A Randomized Behavioral Weight Loss Trial. Obesity. 19(2). 338–344. 252 indexed citations

18.

Hanlon, Joseph T., et al.. (2009). Impact of a geriatric nursing home palliative care service on unnecessary medication prescribing. The American journal of geriatric pharmacotherapy. 7(1). 20–25. 40 indexed citations

19.

Burke, Lora E., Jina Choo, Edvin Music, et al.. (2005). PREFER study: A randomized clinical trial testing treatment preference and two dietary options in behavioral weight management — rationale, design and baseline characteristics. Contemporary Clinical Trials. 27(1). 34–48. 43 indexed citations

20.

Wilcox, Sara, et al.. (2000). Factors Related to Sleep Disturbance in Older Adults Experiencing Knee Pain or Knee Pain with Radiographic Evidence of Knee Osteoarthritis. Journal of the American Geriatrics Society. 48(10). 1241–1251. 173 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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