Isabella Chu

569 total citations
13 papers, 367 citations indexed

About

Isabella Chu is a scholar working on Cognitive Neuroscience, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, Isabella Chu has authored 13 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cognitive Neuroscience, 3 papers in Public Health, Environmental and Occupational Health and 2 papers in Molecular Biology. Recurrent topics in Isabella Chu's work include Health Systems, Economic Evaluations, Quality of Life (2 papers), Functional Brain Connectivity Studies (2 papers) and Health, Environment, Cognitive Aging (1 paper). Isabella Chu is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (2 papers), Functional Brain Connectivity Studies (2 papers) and Health, Environment, Cognitive Aging (1 paper). Isabella Chu collaborates with scholars based in United States, United Kingdom and Sweden. Isabella Chu's co-authors include Sean P. David, Joaquim Raduà, Paolo Fusar‐Poli, John P. A. Ioannidis, Pooja Loftus, Mark R. Cullen, Jennifer J. Ware, Marcus R. Munafò, Martin D. Slade and Deron Galusha and has published in prestigious journals such as PLoS ONE, Cancer and Scientific Reports.

In The Last Decade

Isabella Chu

12 papers receiving 350 citations

Peers

Isabella Chu
Elliot M. Fielstein United States
Isabella Chu
Citations per year, relative to Isabella Chu Isabella Chu (= 1×) peers Elliot M. Fielstein

Countries citing papers authored by Isabella Chu

Since Specialization
Citations

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

Fields of papers citing papers by Isabella Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isabella Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Isabella Chu. A scholar is included among the top collaborators of Isabella Chu 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 Isabella Chu. Isabella Chu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Chu, Isabella, et al.. (2024). FAIR enough: Building an academic data ecosystem to make real-world data available for translational research. Journal of Clinical and Translational Science. 8(1). e92–e92. 2 indexed citations
2.
Kamdar, Neil, David H. Rehkopf, Sharon Saydah, et al.. (2024). Post-COVID Conditions in US Primary Care: A PRIME Registry Comparison of Patients With COVID-19, Influenza-Like Illness, and Wellness Visits. The Annals of Family Medicine. 22(4). 279–287.
3.
Cullen, Mark R., Michael Baiocchi, Lisa Chamberlain, et al.. (2022). Population health science as a unifying foundation for translational clinical and public health research. SSM - Population Health. 18. 101047–101047. 2 indexed citations
4.
Sendak, Mark, Sherri Rose, David H. Rehkopf, et al.. (2021). Advancing primary care with Artificial Intelligence and Machine Learning. Healthcare. 10(1). 100594–100594. 25 indexed citations
5.
David, Sean P., Florian Naudet, Jennifer R. Laude, et al.. (2018). Potential Reporting Bias in Neuroimaging Studies of Sex Differences. Scientific Reports. 8(1). 6082–6082. 60 indexed citations
6.
Nevedal, Andrea, Eleanor T. Lewis, Kelly E. Ormond, et al.. (2017). Patient and provider perspectives on the development of personalized medicine: a mixed-methods approach. Journal of Community Genetics. 9(3). 283–291. 19 indexed citations
7.
David, Sean P., Isabella Chu, Tim Lancaster, et al.. (2014). Systematic review and meta-analysis of opioid antagonists for smoking cessation. BMJ Open. 4(3). e004393–e004393. 23 indexed citations
8.
Chi, Jeffrey, John Kugler, Isabella Chu, et al.. (2014). Medical Students and the Electronic Health Record: ‘An Epic Use of Time’. The American Journal of Medicine. 127(9). 891–895. 28 indexed citations
9.
Galusha, Deron, et al.. (2014). Process of care compliance is associated with fewer diabetes complications.. PubMed. 20(1). 41–52. 13 indexed citations
10.
Kubo, Jessica, Benjamin A. Goldstein, Linda F. Cantley, et al.. (2013). Contribution of health status and prevalent chronic disease to individual risk for workplace injury in the manufacturing environment. Occupational and Environmental Medicine. 71(3). 159–166. 52 indexed citations
11.
David, Sean P., Jennifer J. Ware, Isabella Chu, et al.. (2013). Potential Reporting Bias in fMRI Studies of the Brain. PLoS ONE. 8(7). e70104–e70104. 96 indexed citations
12.
Ramchandran, Kavitha, Joseph W. Shega, Jamie Von Roenn, et al.. (2013). A predictive model to identify hospitalized cancer patients at risk for 30‐day mortality based on admission criteria via the electronic medical record. Cancer. 119(11). 2074–2080. 27 indexed citations
13.
Chung, In‐Sung, Isabella Chu, & Mark R. Cullen. (2012). Hearing effects from intermittent and continuous noise exposure in a study of Korean factory workers and firefighters. BMC Public Health. 12(1). 87–87. 20 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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