Charles Rareshide

1.7k total citations
44 papers, 1.1k citations indexed

About

Charles Rareshide is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health and Physiology. According to data from OpenAlex, Charles Rareshide has authored 44 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in General Health Professions, 18 papers in Public Health, Environmental and Occupational Health and 15 papers in Physiology. Recurrent topics in Charles Rareshide's work include Physical Activity and Health (15 papers), Mobile Health and mHealth Applications (10 papers) and Obesity, Physical Activity, Diet (7 papers). Charles Rareshide is often cited by papers focused on Physical Activity and Health (15 papers), Mobile Health and mHealth Applications (10 papers) and Obesity, Physical Activity, Diet (7 papers). Charles Rareshide collaborates with scholars based in United States, United Kingdom and Spain. Charles Rareshide's co-authors include Mitesh S. Patel, Dylan S. Small, Susan Day, Christopher K. Snider, Victoria Hilbert, Kevin G. Volpp, Gregory W. Kurtzman, Joseph D. Harrison, Chalanda N. Evans and Jingsan Zhu and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and Annals of Internal Medicine.

In The Last Decade

Charles Rareshide

41 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Charles Rareshide United States	19	427	345	244	154	130	44	1.1k
Maihan B. Vu United States	21	667 1.6×	632 1.8×	193 0.8×	99 0.6×	90 0.7×	81	1.7k
Neeltje van den Berg Germany	21	530 1.2×	330 1.0×	114 0.5×	102 0.7×	78 0.6×	117	1.4k
Helen Eborall United Kingdom	19	353 0.8×	273 0.8×	186 0.8×	75 0.5×	61 0.5×	66	1.1k
Shantanu Nundy United States	15	674 1.6×	206 0.6×	74 0.3×	103 0.7×	139 1.1×	18	1.3k
Nancy Haff United States	11	432 1.0×	210 0.6×	263 1.1×	288 1.9×	157 1.2×	33	961
Peter G. Rossos Canada	18	544 1.3×	253 0.7×	106 0.4×	111 0.7×	163 1.3×	41	1.3k
Michael Menchine United States	30	794 1.9×	479 1.4×	317 1.3×	155 1.0×	102 0.8×	100	2.3k
Ratna Sohanpal United Kingdom	18	494 1.2×	133 0.4×	155 0.6×	128 0.8×	75 0.6×	44	1.1k
Catherine Battaglia United States	18	631 1.5×	242 0.7×	105 0.4×	43 0.3×	107 0.8×	82	1.2k
Cati Brown‐Johnson United States	19	667 1.6×	438 1.3×	201 0.8×	83 0.5×	46 0.4×	101	1.4k

Countries citing papers authored by Charles Rareshide

Since Specialization

Citations

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

Fields of papers citing papers by Charles Rareshide

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles Rareshide

This figure shows the co-authorship network connecting the top 25 collaborators of Charles Rareshide. A scholar is included among the top collaborators of Charles Rareshide 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 Charles Rareshide. Charles Rareshide 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

Fanaroff, Alexander C., Laurie Norton, Charles Rareshide, et al.. (2025). Effect of Gamification Plus Automated Coaching to Increase Physical Activity Among Patients With Peripheral Artery Disease: The GAMEPAD Randomized Controlled Trial. Journal of the American Heart Association. 14(24). e038921–e038921.

Fanaroff, Alexander C., Emily Kim, Charles Rareshide, et al.. (2025). Behaviorally Designed Gamification and Physical Activity Among Breast and Prostate Cancer Survivors. JACC CardioOncology. 7(7). 816–828.

Fanaroff, Alexander C., Emily Kim, Charles Rareshide, et al.. (2024). A randomized controlled trial of gamification to increase physical activity among black and Hispanic breast and prostate cancer survivors: Rationale and design of the ALLSTAR clinical trial. American Heart Journal. 280. 42–51. 1 indexed citations

Fanaroff, Alexander C., Laurie Norton, Charles Rareshide, et al.. (2024). Gamification-augmented home-based exercise for peripheral artery disease: Rationale and design of the GAMEPAD Study. American Heart Journal. 270. 95–102. 1 indexed citations

Norton, Laurie, Charles Rareshide, Lin Xu, et al.. (2024). Automated Text Message–Based Program to Improve Uncontrolled Blood Pressure in Primary Care Patients: A Randomized Clinical Trial. Journal of General Internal Medicine. 40(6). 1248–1254. 1 indexed citations

Norton, Laurie, Charles Rareshide, Jingsan Zhu, et al.. (2024). Investigating racial and gender disparities in virtual randomized clinical trial enrollment: Insights from the BE ACTIVE study. American Heart Journal. 276. 120–124. 7 indexed citations

Manz, Christopher R., Kan Chen, Dylan S. Small, et al.. (2023). Long-term Effect of Machine Learning–Triggered Behavioral Nudges on Serious Illness Conversations and End-of-Life Outcomes Among Patients With Cancer. JAMA Oncology. 9(3). 414–414. 62 indexed citations

Fanaroff, Alexander C., Mitesh S. Patel, Neel Chokshi, et al.. (2023). A randomized controlled trial of gamification, financial incentives, or both to increase physical activity among patients with elevated risk for cardiovascular disease: rationale and design of the be active study. American Heart Journal. 260. 82–89. 13 indexed citations

Adusumalli, Srinath, et al.. (2020). Usability of Wearable Devices to Remotely Monitor Sleep Patterns Among Patients With Ischemic Heart Disease: Observational Study. JMIR Formative Research. 4(4). e14508–e14508. 3 indexed citations

10.

Manz, Christopher R., Ravi B. Parikh, Chalanda N. Evans, et al.. (2020). Integrating machine-generated mortality estimates and behavioral nudges to promote serious illness conversations for cancer patients: Design and methods for a stepped-wedge cluster randomized controlled trial. Contemporary Clinical Trials. 90. 105951–105951. 12 indexed citations

11.

Rareshide, Charles, et al.. (2020). Phenotyping physician practice patterns and associations with response to a nudge in the electronic health record for influenza vaccination: A quasi-experimental study. PLoS ONE. 15(5). e0232895–e0232895. 7 indexed citations

12.

Chivers, Corey, Yijie Liu, Chalanda N. Evans, et al.. (2020). Prospective validation of a machine learning algorithm to predict short-term mortality among outpatients with cancer.. Journal of Clinical Oncology. 38(15_suppl). 2009–2009. 2 indexed citations

13.

Navathe, Amol S., Kristin A. Linn, David Steier, et al.. (2020). Association between behavioral phenotypes and response to a physical activity intervention using gamification and social incentives: Secondary analysis of the STEP UP randomized clinical trial. PLoS ONE. 15(10). e0239288–e0239288. 14 indexed citations

14.

Harrison, Joseph D., et al.. (2019). Remotely Monitored Gamification and Social Incentives to Improve Glycemic Control Among Adults With Uncontrolled Type 2 Diabetes (iDiabetes): Protocol for a Randomized Controlled Trial. JMIR Research Protocols. 8(11). e14180–e14180. 11 indexed citations

15.

Evans, Chalanda N., Kevin G. Volpp, Daniel Polsky, et al.. (2019). Prediction using a randomized evaluation of data collection integrated through connected technologies (PREDICT): Design and rationale of a randomized trial of patients discharged from the hospital to home. Contemporary Clinical Trials. 83. 53–56. 6 indexed citations

16.

Patel, Mitesh S., Dylan S. Small, Christopher K. Snider, et al.. (2019). Mobility and outcomes for validated evidence – Incentive trial (MOVE IT): Randomized clinical trial study protocol. Contemporary Clinical Trials. 89. 105911–105911. 5 indexed citations

17.

Harrison, Joseph D., Jeremy Jones, Dylan S. Small, et al.. (2019). Social incentives to encourage physical activity and understand predictors (STEP UP): Design and rationale of a randomized trial among overweight and obese adults across the United States. Contemporary Clinical Trials. 80. 55–60. 11 indexed citations

18.

Mehta, Shivan J., Dylan S. Small, Charles Rareshide, et al.. (2019). Association of Primary Care Clinic Appointment Time With Clinician Ordering and Patient Completion of Breast and Colorectal Cancer Screening. JAMA Network Open. 2(5). e193403–e193403. 38 indexed citations

19.

Greysen, S. Ryan, et al.. (2018). A randomized controlled trial to improve engagement of hospitalized patients with their patient portals. Journal of the American Medical Informatics Association. 25(12). 1626–1633. 18 indexed citations

20.

Chokshi, Neel, Srinath Adusumalli, Dylan S. Small, et al.. (2017). Abstract 14946: Loss-framed Financial Incentives and Personalized Goal Setting Increase Physical Activity in Ischemic Heart Disease Patients Using Wearable Devices: The ACTIVE REWARD Randomized Clinical Trial. Circulation. 3 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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