Claudia Nau

1.2k total citations
34 papers, 698 citations indexed

About

Claudia Nau is a scholar working on General Health Professions, Health and Clinical Psychology. According to data from OpenAlex, Claudia Nau has authored 34 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in General Health Professions, 12 papers in Health and 8 papers in Clinical Psychology. Recurrent topics in Claudia Nau's work include Health disparities and outcomes (9 papers), Geriatric Care and Nursing Homes (6 papers) and Food Security and Health in Diverse Populations (5 papers). Claudia Nau is often cited by papers focused on Health disparities and outcomes (9 papers), Geriatric Care and Nursing Homes (6 papers) and Food Security and Health in Diverse Populations (5 papers). Claudia Nau collaborates with scholars based in United States, Australia and Canada. Claudia Nau's co-authors include Adam L. Sharp, Sara Y. Tartof, Heidi Fischer, Vennis Hong, Rong Wei, Tanmai Saxena, Zhuoxin Li, Sally F. Shaw, Sameer B. Murali and Lei Qian and has published in prestigious journals such as Circulation, Annals of Internal Medicine and Environment International.

In The Last Decade

Claudia Nau

30 papers receiving 679 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claudia Nau United States 14 261 137 134 130 106 34 698
Carlos A. Fermín‐Martínez Mexico 11 299 1.1× 62 0.5× 160 1.2× 139 1.1× 109 1.0× 24 633
Devyani Ramgobin United States 8 243 0.9× 118 0.9× 156 1.2× 188 1.4× 57 0.5× 12 832
Briana Coles United Kingdom 11 299 1.1× 152 1.1× 264 2.0× 137 1.1× 136 1.3× 28 885
Reshma Golamari United States 12 285 1.1× 134 1.0× 172 1.3× 218 1.7× 65 0.6× 36 988
Sally F. Shaw United States 16 364 1.4× 100 0.7× 142 1.1× 165 1.3× 113 1.1× 52 1.1k
Shahab Jolani Netherlands 10 239 0.9× 86 0.6× 102 0.8× 111 0.9× 82 0.8× 30 793
Chander Shekher Aggarwal United States 6 237 0.9× 113 0.8× 152 1.1× 187 1.4× 48 0.5× 7 761
Simone C. Gray United States 13 351 1.3× 186 1.4× 71 0.5× 241 1.9× 125 1.2× 26 977
Frank Volpicelli United States 13 396 1.5× 107 0.8× 196 1.5× 395 3.0× 139 1.3× 23 1.1k
Nitasa Sahu United States 7 229 0.9× 132 1.0× 143 1.1× 178 1.4× 53 0.5× 19 786

Countries citing papers authored by Claudia Nau

Since Specialization
Citations

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

Fields of papers citing papers by Claudia Nau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudia Nau

This figure shows the co-authorship network connecting the top 25 collaborators of Claudia Nau. A scholar is included among the top collaborators of Claudia Nau 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 Claudia Nau. Claudia Nau 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.
Parikh, Rishi, Claudia Nau, Thida C. Tan, et al.. (2024). Rationale and design of the KP ENRICH trial: A food is medicine intervention in low-income high-risk adults with diabetes within Kaiser Permanente. Contemporary Clinical Trials. 143. 107601–107601. 2 indexed citations
2.
Zhou, Hui, Claudia Nau, Fagen Xie, et al.. (2024). A machine-learning prediction model to identify risk of firearm injury using electronic health records data. Journal of the American Medical Informatics Association. 31(10). 2173–2180.
3.
Ridberg, Ronit, Claudia Nau, Pamela M. Schwartz, et al.. (2024). Development, Implementation, and Validation of 2-Item Nutrition Security Screener. Current Developments in Nutrition. 8. 103151–103151. 7 indexed citations
4.
Unützer, Jürgen, Theresa J. Hoeft, Katherine A. James, et al.. (2023). Improving Care for Late-Life Depression Through Partnerships With Community-Based Organizations: Results From the Care Partners Project. American Journal of Geriatric Psychiatry. 32(5). 586–595.
5.
Wisk, Lauren E., Teryl K. Nuckols, Paul Ong, et al.. (2023). Association of Cost-Driven Residential Moves With Health-Related Outcomes Among California Renters. JAMA Network Open. 6(3). e232990–e232990. 2 indexed citations
6.
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Nau, Claudia, Rebecca K. Butler, Cheng‐Wei Huang, et al.. (2023). Development and Validation of the COVID-19 Hospitalized Patient Deterioration Index. The American Journal of Managed Care. 29(12). e365–e371. 1 indexed citations
8.
Jerrett, Michael, Claudia Nau, Deborah Rohm Young, et al.. (2023). Air pollution and the sequelae of COVID-19 patients: A multistate analysis. Environmental Research. 236(Pt 2). 116814–116814. 5 indexed citations
9.
Nau, Claudia, Jordan M. Braciszewski, Rebecca C. Rossom, et al.. (2023). Assessment of Disruptive Life Events for Individuals Diagnosed With Schizophrenia or Bipolar I Disorder Using Data From a Consumer Credit Reporting Agency. JAMA Psychiatry. 80(7). 710–710. 5 indexed citations
10.
Sidell, Margo A., et al.. (2023). Trends in firearm injury in a southern California health care system from 2010 to 2020. BMC Public Health. 23(1). 2220–2220. 1 indexed citations
11.
Zimmerman, Frederick J., Paul Ong, Andrea Jones, et al.. (2023). Association of neighborhood gentrification and residential moves with hypertension and diabetes control in Los Angeles County, 2014–2019: A retrospective cohort study. Health & Place. 83. 103109–103109. 3 indexed citations
12.
Tuzzio, Leah, Robert Wellman, Emilia H. De Marchis, et al.. (2022). Social Risk Factors and Desire for Assistance Among Patients Receiving Subsidized Health Care Insurance in a US-Based Integrated Delivery System. The Annals of Family Medicine. 20(2). 137–144. 19 indexed citations
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15.
Nau, Claudia, et al.. (2020). The Application of Community-Based Information from the American Community Survey in a Large Integrated Health Care Organization. The Permanente Journal. 25(1). 1–3. 14 indexed citations
16.
Sharp, Adam L., Brian Z. Huang, Michael B. Smith, et al.. (2020). Identifying patients with symptoms suspicious for COVID-19 at elevated risk of adverse events: The COVAS score. The American Journal of Emergency Medicine. 46. 489–494. 13 indexed citations
17.
Luong, Tiffany, Yu‐Hsiang Shu, Bobeck S. Modjtahedi, et al.. (2020). Racial and Ethnic Differences in Myopia Progression in a Large, Diverse Cohort of Pediatric Patients. Investigative Ophthalmology & Visual Science. 61(13). 20–20. 37 indexed citations
18.
Luo, Gang, Claudia Nau, William Crawford, et al.. (2020). Developing a Predictive Model for Asthma-Related Hospital Encounters in Patients With Asthma in a Large, Integrated Health Care System: Secondary Analysis. JMIR Medical Informatics. 8(11). e22689–e22689. 16 indexed citations
19.
Young, Deborah Rohm, Heidi Fischer, David Arterburn, et al.. (2018). Associations of overweight/obesity and socioeconomic status with hypertension prevalence across racial and ethnic groups. Journal of Clinical Hypertension. 20(3). 532–540. 23 indexed citations
20.
Firebaugh, Glenn, et al.. (2014). Why the racial gap in life expectancy is declining in the United States. Demographic Research. 31. 975–1006. 23 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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