Christine Suver

7.0k total citations · 1 hit paper
27 papers, 1.3k citations indexed

About

Christine Suver is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health and Physiology. According to data from OpenAlex, Christine Suver has authored 27 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in General Health Professions, 11 papers in Public Health, Environmental and Occupational Health and 6 papers in Physiology. Recurrent topics in Christine Suver's work include Ethics in Clinical Research (10 papers), Mobile Health and mHealth Applications (5 papers) and Patient-Provider Communication in Healthcare (4 papers). Christine Suver is often cited by papers focused on Ethics in Clinical Research (10 papers), Mobile Health and mHealth Applications (5 papers) and Patient-Provider Communication in Healthcare (4 papers). Christine Suver collaborates with scholars based in United States, United Kingdom and Canada. Christine Suver's co-authors include Megan Doerr, John Wilbanks, Brian M. Bot, Andrew D. Trister, Stephen Friend, Michael Kellen, Abhishek Pratap, Eric E. Schadt, Arno Klein and Elias Chaibub Neto and has published in prestigious journals such as Journal of Biological Chemistry, Nature Genetics and Genome Research.

In The Last Decade

Christine Suver

27 papers receiving 1.2k citations

Hit Papers

The mPower study, Parkinson disease mobile data collected... 2016 2026 2019 2022 2016 100 200 300 400

Peers

Christine Suver
Christine Suver
Citations per year, relative to Christine Suver Christine Suver (= 1×) peers Catherine A. Brownstein

Countries citing papers authored by Christine Suver

Since Specialization
Citations

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

Fields of papers citing papers by Christine Suver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christine Suver

This figure shows the co-authorship network connecting the top 25 collaborators of Christine Suver. A scholar is included among the top collaborators of Christine Suver 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 Christine Suver. Christine Suver 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.
Velloza, Jennifer, et al.. (2024). An Application of Evidence‐Based Approaches to Engage Young People in the Design of a Global Mental Health Databank. Health Expectations. 27(5). e14172–e14172. 3 indexed citations
2.
Suver, Christine, Jeremy Harper, Johanna Loomba, et al.. (2023). The N3C governance ecosystem: A model socio-technical partnership for the future of collaborative analytics at scale. Journal of Clinical and Translational Science. 7(1). e252–e252. 3 indexed citations
3.
Pratap, Abhishek, et al.. (2022). Real-world behavioral dataset from two fully remote smartphone-based randomized clinical trials for depression. Scientific Data. 9(1). 522–522. 7 indexed citations
4.
Goodday, Sarah, et al.. (2022). The Post-Roe Political Landscape Demands a Morality of Caution for Women’s Health. Journal of Medical Internet Research. 24(10). e41417–e41417. 5 indexed citations
5.
Edwards, Dorothy Farrar, et al.. (2022). From paper to screen: regulatory and operational considerations for modernizing the informed consent process. Journal of Clinical and Translational Science. 6(1). e71–e71. 4 indexed citations
6.
Suver, Christine, et al.. (2021). mHealth wearables and smartphone health tracking apps: A changing privacy landscape. Information Services & Use. 41(1-2). 71–79. 6 indexed citations
7.
Suver, Christine, Felicia C. Goldstein, Cecelia Manzanares, et al.. (2020). Informed Consent in Two Alzheimer’s Disease Research Centers: Insights From Research Coordinators. AJOB Empirical Bioethics. 11(2). 114–124. 4 indexed citations
8.
Pratap, Abhishek, et al.. (2020). Real-world longitudinal data collected from the SleepHealth mobile app study. Scientific Data. 7(1). 418–418. 7 indexed citations
9.
Suver, Christine, Adrian Thorogood, Megan Doerr, John Wilbanks, & Bartha Maria Knoppers. (2020). Bringing Code to Data: Do Not Forget Governance. Journal of Medical Internet Research. 22(7). e18087–e18087. 14 indexed citations
10.
Doerr, Megan, et al.. (2020). Assessment of theAll of Usresearch program’s informed consent process. AJOB Empirical Bioethics. 12(2). 72–83. 19 indexed citations
11.
Chan, Yu‐Feng Yvonne, Brian M. Bot, Micol Zweig, et al.. (2018). The asthma mobile health study, smartphone data collected using ResearchKit. Scientific Data. 5(1). 180096–180096. 38 indexed citations
12.
Doerr, Megan, et al.. (2017). Formative Evaluation of Participant Experience With Mobile eConsent in the App-Mediated Parkinson mPower Study: A Mixed Methods Study. JMIR mhealth and uhealth. 5(2). e14–e14. 48 indexed citations
13.
Bot, Brian M., Christine Suver, Elias Chaibub Neto, et al.. (2016). The mPower study, Parkinson disease mobile data collected using ResearchKit. Scientific Data. 3(1). 160011–160011. 404 indexed citations breakdown →
14.
Narayanan, Manikandan, Jimmy Huynh, Kai Wang, et al.. (2014). Common dysregulation network in the human prefrontal cortex underlies two neurodegenerative diseases. Molecular Systems Biology. 10(7). 743–743. 138 indexed citations
15.
Derry, Jonathan M.J., Lara M. Mangravite, Christine Suver, et al.. (2012). Developing predictive molecular maps of human disease through community-based modeling. Nature Genetics. 44(2). 127–130. 36 indexed citations
16.
Greenawalt, Danielle M., Radu Dobrin, Eugene Chudin, et al.. (2011). A survey of the genetics of stomach, liver, and adipose gene expression from a morbidly obese cohort. Genome Research. 21(7). 1008–1016. 99 indexed citations
17.
Yang, Xia, Bin Zhang, Cliona Molony, et al.. (2010). Systematic genetic and genomic analysis of cytochrome P450 enzyme activities in human liver. Genome Research. 20(8). 1020–1036. 207 indexed citations
18.
Cotsapas, Chris, Elizabeth K. Speliotes, Ida J. Hatoum, et al.. (2010). Common body mass index-associated variants confer risk of extreme obesity. Human Molecular Genetics. 19(18). 3690–3691. 10 indexed citations
19.
Stone, David J., Cliona Molony, Christine Suver, Eric E. Schadt, & William Z. Potter. (2009). ApoE genotyping as a progression-rate biomarker in phase II disease-modification trials for Alzheimer's disease. The Pharmacogenomics Journal. 10(3). 161–164. 16 indexed citations
20.
Suver, Christine & Stephen D. Hauschka. (1996). A Novel Site in the Muscle Creatine Kinase Enhancer Is Required for Expression in Skeletal but Not Cardiac Muscle. Journal of Biological Chemistry. 271(9). 4646–4652. 18 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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