Vik Kheterpal

1.4k total citations
20 papers, 520 citations indexed

About

Vik Kheterpal is a scholar working on General Health Professions, Physiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Vik Kheterpal has authored 20 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in General Health Professions, 9 papers in Physiology and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Vik Kheterpal's work include Physical Activity and Health (9 papers), Mobile Health and mHealth Applications (8 papers) and Obesity, Physical Activity, Diet (3 papers). Vik Kheterpal is often cited by papers focused on Physical Activity and Health (9 papers), Mobile Health and mHealth Applications (8 papers) and Obesity, Physical Activity, Diet (3 papers). Vik Kheterpal collaborates with scholars based in United States, Australia and Nepal. Vik Kheterpal's co-authors include Matteo Gadaleta, Edward Ramos, Giorgio Quer, Katie Baca-Motes, Eric J. Topol, Jennifer M. Radin, Steven R. Steinhubl, Lauren Ariniello, David D. McManus and Joanne M. Murabito and has published in prestigious journals such as The Lancet, Circulation and Nature Medicine.

In The Last Decade

Vik Kheterpal

17 papers receiving 512 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vik Kheterpal United States 8 120 102 88 68 66 20 520
Edward Ramos United States 6 126 1.1× 75 0.7× 64 0.7× 74 1.1× 20 0.3× 11 495
Lauren Ariniello United States 8 171 1.4× 367 3.6× 111 1.3× 76 1.1× 36 0.5× 15 780
Katie Baca-Motes United States 9 181 1.5× 363 3.6× 104 1.2× 95 1.4× 32 0.5× 20 882
Aravind Natarajan United States 5 151 1.3× 149 1.5× 26 0.3× 51 0.8× 38 0.6× 8 344
Ethan R. Harlow United States 8 135 1.1× 84 0.8× 29 0.3× 67 1.0× 37 0.6× 21 499
Elisabeth Klager Austria 11 81 0.7× 19 0.2× 81 0.9× 29 0.4× 27 0.4× 27 606
Jay Pandit United States 12 139 1.2× 127 1.2× 62 0.7× 21 0.3× 10 0.2× 31 442
Emily R. Capodilupo Australia 8 54 0.5× 53 0.5× 35 0.4× 25 0.4× 27 0.4× 19 293
Khadijeh Moulaei Iran 14 45 0.4× 18 0.2× 123 1.4× 112 1.6× 20 0.3× 68 615
Sandra da Silva Mattos Brazil 15 58 0.5× 221 2.2× 112 1.3× 53 0.8× 61 0.9× 78 1.0k

Countries citing papers authored by Vik Kheterpal

Since Specialization
Citations

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

Fields of papers citing papers by Vik Kheterpal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vik Kheterpal

This figure shows the co-authorship network connecting the top 25 collaborators of Vik Kheterpal. A scholar is included among the top collaborators of Vik Kheterpal 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 Vik Kheterpal. Vik Kheterpal 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.
Zhao, Zhuo, Adam G. Horwitz, Karina Pereira‐Lima, et al.. (2025). Feasibility and acceptability of collecting passive phone usage and sensor data via Apple SensorKit. PLoS ONE. 20(8). e0329707–e0329707.
2.
Pandit, Jay, Matteo Gadaleta, Juan A. Raygoza Garay, et al.. (2025). Multimodal AI correlates of glucose spikes in people with normal glucose regulation, pre-diabetes and type 2 diabetes. Nature Medicine. 31(9). 3121–3127. 5 indexed citations
3.
Spartano, Nicole L., Yuankai Zhang, Chunyu Liu, et al.. (2024). Agreement Between Apple Watch and Actical Step Counts in a Community Setting: Cross-Sectional Investigation From the Framingham Heart Study. PubMed. 9. e54631–e54631. 1 indexed citations
4.
Golbus, Jessica R., Rachel Stevens, V. Swetha E. Jeganathan, et al.. (2024). Text Messages to Promote Physical Activity in Patients With Cardiovascular Disease: A Micro-Randomized Trial of a Just-In-Time Adaptive Intervention. Circulation Cardiovascular Quality and Outcomes. 17(7). e010731–e010731. 3 indexed citations
5.
Vogel, Julia Moore, Vik Kheterpal, & Eric J. Topol. (2024). Techquity: digital pathways to reach all people for medical research. The Lancet. 404(10457). 1007–1007.
6.
Zhang, Yuankai, Ludovic Trinquart, Belinda Borrelli, et al.. (2023). Association of Depressive Symptom Trajectory With Physical Activity Collected by mHealth Devices in the Electronic Framingham Heart Study: Cohort Study. JMIR Mental Health. 10. e44529–e44529.
7.
Golbus, Jessica R., Rachel Stevens, V. Swetha E. Jeganathan, et al.. (2023). A randomized trial of a mobile health intervention to augment cardiac rehabilitation. npj Digital Medicine. 6(1). 173–173. 12 indexed citations
8.
Herbert, Carly, Yukari C. Manabe, Andreas Filippaios, et al.. (2023). Differential Viral Dynamics by Sex and Body Mass Index During Acute SARS-CoV-2 Infection: Results From a Longitudinal Cohort Study. Clinical Infectious Diseases. 78(5). 1185–1193. 2 indexed citations
9.
Zhang, Yuankai, Honghuang Lin, Mayank Sardana, et al.. (2022). Relations Between BMI Trajectories and Habitual Physical Activity Measured by a Smartwatch in the Electronic Cohort of the Framingham Heart Study: Cohort Study. JMIR Cardio. 6(1). e32348–e32348. 3 indexed citations
10.
Herbert, Carly, John Broach, William Heetderks, et al.. (2022). Feasibility of At-Home Serial Testing Using Over-the-Counter SARS-CoV-2 Tests With a Digital Smartphone App for Assistance: Longitudinal Cohort Study. JMIR Formative Research. 6(10). e35426–e35426. 7 indexed citations
11.
Radin, Jennifer M., Giorgio Quer, Jay Pandit, et al.. (2022). Sensor-based surveillance for digitising real-time COVID-19 tracking in the USA (DETECT): a multivariable, population-based, modelling study. The Lancet Digital Health. 4(11). e777–e786. 14 indexed citations
12.
Zhang, Yuankai, Ludovic Trinquart, Emelia J. Benjamin, et al.. (2022). Factors associated with long-term use of digital devices in the electronic Framingham Heart Study. npj Digital Medicine. 5(1). 195–195. 10 indexed citations
13.
Zhang, Yuankai, Ludovic Trinquart, Emelia J. Benjamin, et al.. (2021). Adherence of Mobile App-Based Surveys and Comparison With Traditional Surveys: eCohort Study. Journal of Medical Internet Research. 23(1). e24773–e24773. 10 indexed citations
14.
Zhang, Yuankai, Hongshan Liu, Honghuang Lin, et al.. (2021). Comparison of Daily Routines Between Middle-aged and Older Participants With and Those Without Diabetes in the Electronic Framingham Heart Study: Cohort Study. JMIR Diabetes. 7(1). e29107–e29107. 1 indexed citations
15.
Sardana, Mayank, Honghuang Lin, Yuankai Zhang, et al.. (2021). Association of Habitual Physical Activity With Home Blood Pressure in the Electronic Framingham Heart Study (eFHS): Cross-sectional Study. Journal of Medical Internet Research. 23(6). e25591–e25591. 5 indexed citations
16.
Gadaleta, Matteo, Jennifer M. Radin, Katie Baca-Motes, et al.. (2021). Passive detection of COVID-19 with wearable sensors and explainable machine learning algorithms. npj Digital Medicine. 4(1). 166–166. 70 indexed citations
17.
Trinquart, Ludovic, Yuankai Zhang, Emelia J. Benjamin, et al.. (2021). Abstract P115: Older Age And Health Status Are Associated With Smartwatch Use Over 12 Months In The Electronic Framingham Heart Study. Circulation. 143(Suppl_1). 1 indexed citations
18.
Lin, Honghuang, Mayank Sardana, Yuankai Zhang, et al.. (2020). Association of Habitual Physical Activity With Cardiovascular Disease Risk. Circulation Research. 127(10). 1253–1260. 43 indexed citations
19.
Quer, Giorgio, Jennifer M. Radin, Matteo Gadaleta, et al.. (2020). Wearable sensor data and self-reported symptoms for COVID-19 detection. Nature Medicine. 27(1). 73–77. 300 indexed citations
20.
McManus, David D., Ludovic Trinquart, Emelia J. Benjamin, et al.. (2019). Design and Preliminary Findings From a New Electronic Cohort Embedded in the Framingham Heart Study. Journal of Medical Internet Research. 21(3). e12143–e12143. 33 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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