Nathalie Moise

3.3k total citations · 1 hit paper
64 papers, 1.3k citations indexed

About

Nathalie Moise is a scholar working on General Health Professions, Cardiology and Cardiovascular Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Nathalie Moise has authored 64 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in General Health Professions, 29 papers in Cardiology and Cardiovascular Medicine and 16 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Nathalie Moise's work include Cardiac Health and Mental Health (14 papers), Blood Pressure and Hypertension Studies (13 papers) and Mental Health Treatment and Access (12 papers). Nathalie Moise is often cited by papers focused on Cardiac Health and Mental Health (14 papers), Blood Pressure and Hypertension Studies (13 papers) and Mental Health Treatment and Access (12 papers). Nathalie Moise collaborates with scholars based in United States, United Kingdom and Australia. Nathalie Moise's co-authors include Ian M. Kronish, Karina W. Davidson, Siqin Ye, Sunmoo Yoon, Carmela Alcántara, Louise Falzon, Jeffrey L. Birk, Monika M. Safford, Daichi Shimbo and Rachel C. Shelton and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and American Journal of Psychiatry.

In The Last Decade

Nathalie Moise

60 papers receiving 1.3k citations

Hit Papers

1 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Lancet Psychiatry Commission: transforming mental health implementation research

2024 34 citations Nathalie Moise et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nathalie Moise United States	23	482	447	253	189	144	64	1.3k
Kathryn King‐Shier Canada	22	540 1.1×	538 1.2×	235 0.9×	203 1.1×	70 0.5×	105	1.7k
Joseph Ravenell United States	24	530 1.1×	479 1.1×	338 1.3×	198 1.0×	87 0.6×	87	1.8k
Carla Boutin‐Foster United States	23	227 0.5×	477 1.1×	331 1.3×	206 1.1×	132 0.9×	81	1.6k
Paul A. Pirraglia United States	27	566 1.2×	557 1.2×	185 0.7×	220 1.2×	278 1.9×	53	2.0k
Debra J. Barksdale United States	15	313 0.6×	427 1.0×	163 0.6×	105 0.6×	58 0.4×	40	1.2k
Suzanne Fredericks Canada	22	293 0.6×	398 0.9×	322 1.3×	238 1.3×	100 0.7×	93	1.3k
Jo‐Ana D. Chase United States	21	197 0.4×	380 0.9×	214 0.8×	130 0.7×	59 0.4×	42	1.1k
Sabine Ruths Norway	25	187 0.4×	515 1.2×	287 1.1×	214 1.1×	117 0.8×	79	1.8k
Kristen A. Sethares United States	20	632 1.3×	343 0.8×	203 0.8×	228 1.2×	59 0.4×	67	1.4k
Sally C Inglis Australia	20	426 0.9×	315 0.7×	169 0.7×	73 0.4×	53 0.4×	78	1.2k

Countries citing papers authored by Nathalie Moise

Since Specialization

Citations

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

Fields of papers citing papers by Nathalie Moise

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathalie Moise

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

Gordon, Emily R., et al.. (2025). Negative descriptors in electronic health records of patients with diabetes. Journal of the American Medical Informatics Association. 32(10). 1589–1597.

Sterling, Madeline R., Erin P. Ferranti, Beverly B. Green, et al.. (2024). The Role of Primary Care in Achieving Life’s Essential 8: A Scientific Statement From the American Heart Association. Circulation Cardiovascular Quality and Outcomes. 17(12). e000134–e000134. 4 indexed citations

Feng, Bin, et al.. (2024). Assessing the Fidelity of Depression Screening Implementation in Coronary Heart Disease Patients: A Cross‐Sectional Study. Journal of the American Heart Association. 13(21). e035550–e035550.

Adsul, Prajakta, Rachel C. Shelton, April Oh, et al.. (2024). Challenges and Opportunities for Paving the Road to Global Health Equity Through Implementation Science. Annual Review of Public Health. 45(1). 27–45. 12 indexed citations

Moise, Nathalie, et al.. (2023). A theory-informed, rapid cycle approach to identifying and adapting strategies to promote sustainability: optimizing depression treatment in primary care clinics seeking to sustain collaborative care (The Transform DepCare Study). SHILAP Revista de lepidopterología. 4(1). 10–10. 5 indexed citations

Kronish, Ian M., Erica Phillips, Carmela Alcántara, et al.. (2023). A Multifaceted Implementation Strategy to Increase Out-of-Office Blood Pressure Monitoring. JAMA Network Open. 6(9). e2334646–e2334646. 3 indexed citations

Ye, Siqin, D. Edmund Anstey, Gil Metser, et al.. (2022). The Impact of Telemedicine Visits on the Controlling High Blood Pressure Quality Measure During the COVID-19 Pandemic: Retrospective Cohort Study. JMIR Formative Research. 6(3). e32403–e32403. 14 indexed citations

Duran, Andrea T., et al.. (2022). Association between telemedicine use and diabetes risk factor assessment and control in a primary care network. Journal of Endocrinological Investigation. 45(9). 1749–1756. 9 indexed citations

Derby, Lilly, Ian M. Kronish, Elizabeth Cohn, et al.. (2021). Using a multistakeholder collaboratory and patient surveys to inform the conduct of personalized (N-of-1) trials.. Health Psychology. 40(4). 230–241. 6 indexed citations

10.

Cheung, Ying Kuen, Ty A. Ridenour, Lilly Derby, et al.. (2020). Personal preferences for Personalised Trials among patients with chronic diseases: an empirical Bayesian analysis of a conjoint survey. BMJ Open. 10(6). e036056–e036056. 12 indexed citations

11.

Liyanage-Don, Nadia, et al.. (2020). Improvement In Blood Pressure Using Remote Patient Monitoring During COVID19. Hypertension. 76. 2–2. 1 indexed citations

12.

Jannat‐Khah, Deanna, Yulia Khodneva, Siqin Ye, et al.. (2020). Depressive symptoms do not discriminate: racial and economic influences between time-varying depressive symptoms and mortality among REGARDS participants. Annals of Epidemiology. 46. 31–40.e2. 3 indexed citations

13.

Birk, Jeffrey L., Ian M. Kronish, Nathalie Moise, et al.. (2019). Depression and multimorbidity: Considering temporal characteristics of the associations between depression and multiple chronic diseases.. Health Psychology. 38(9). 802–811. 121 indexed citations

14.

Moise, Nathalie, Karina W. Davidson, Gregory N. Clarke, et al.. (2019). Rationale, design, and baseline data for a multicenter randomized clinical trial comparing depression screening strategies after acute coronary syndrome: The comparison of depression identification after acute Coronary Syndromes-Quality of Life and Cost Outcomes (CODIACS-QOL) trial. Contemporary Clinical Trials. 84. 105826–105826. 3 indexed citations

15.

Duran, Andrea T., Ian M. Kronish, Nathalie Moise, et al.. (2018). Factors associated with objectively measured exercise participation after hospitalization for acute coronary syndrome. International Journal of Cardiology. 275. 1–5. 7 indexed citations

16.

Moise, Nathalie, Yulia Khodneva, Deanna Jannat‐Khah, et al.. (2018). Observational study of the differential impact of time-varying depressive symptoms on all-cause and cause-specific mortality by health status in community-dwelling adults: the REGARDS study. BMJ Open. 8(1). e017385–e017385. 41 indexed citations

17.

Kronish, Ian M., Donald Edmondson, Nathalie Moise, et al.. (2018). Posttraumatic stress disorder in patients who rule out versus rule in for acute coronary syndrome. General Hospital Psychiatry. 53. 101–107. 23 indexed citations

18.

Ye, Siqin, Aaron L. Leppin, Nancy N. Chang, et al.. (2018). An Informatics Approach to Implement Support for Shared Decision Making for Primary Prevention Statin Therapy. MDM Policy & Practice. 3(1). 3442426264–3442426264. 7 indexed citations

19.

Kronish, Ian M., et al.. (2016). An Electronic Adherence Measurement Intervention to Reduce Clinical Inertia in the Treatment of Uncontrolled Hypertension: The MATCH Cluster Randomized Clinical Trial. Journal of General Internal Medicine. 31(11). 1294–1300. 18 indexed citations

20.

Moise, Nathalie, Enrique Cifuentes, Emanuel Orozco, & Walter C. Willett. (2011). Limiting the consumption of sugar sweetened beverages in Mexico's obesogenic environment: A qualitative policy review and stakeholder analysis. Journal of Public Health Policy. 32(4). 458–475. 32 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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