Sae Hwang Han

866 total citations
43 papers, 510 citations indexed

About

Sae Hwang Han is a scholar working on Health, Sociology and Political Science and Neuropsychology and Physiological Psychology. According to data from OpenAlex, Sae Hwang Han has authored 43 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Health, 15 papers in Sociology and Political Science and 13 papers in Neuropsychology and Physiological Psychology. Recurrent topics in Sae Hwang Han's work include Health disparities and outcomes (25 papers), Aging and Gerontology Research (13 papers) and Intergenerational Family Dynamics and Caregiving (11 papers). Sae Hwang Han is often cited by papers focused on Health disparities and outcomes (25 papers), Aging and Gerontology Research (13 papers) and Intergenerational Family Dynamics and Caregiving (11 papers). Sae Hwang Han collaborates with scholars based in United States, South Korea and Taiwan. Sae Hwang Han's co-authors include Jeffrey A. Burr, Kyungmin Kim, Jane Tavares, Changmin Peng, Jan Mutchler, Megan Gilligan, Hyo Jung Lee, Jane S. Saczynski, J. Scott Roberts and Meng Huo and has published in prestigious journals such as Scientific Reports, Clinical Cancer Research and Social Science & Medicine.

In The Last Decade

Sae Hwang Han

39 papers receiving 502 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sae Hwang Han United States 16 277 158 146 87 79 43 510
Siyun Peng United States 13 248 0.9× 165 1.0× 75 0.5× 92 1.1× 85 1.1× 41 475
Shannon Ang Singapore 14 268 1.0× 217 1.4× 139 1.0× 186 2.1× 85 1.1× 35 553
Kathryn Doyle United States 8 163 0.6× 100 0.6× 62 0.4× 90 1.0× 60 0.8× 11 370
Anne Scott United Kingdom 7 291 1.1× 149 0.9× 185 1.3× 132 1.5× 70 0.9× 13 524
Javier Yanguas Spain 10 147 0.5× 120 0.8× 179 1.2× 48 0.6× 81 1.0× 23 538
Kees C. P. M. Knipscheer Netherlands 10 256 0.9× 327 2.1× 122 0.8× 223 2.6× 83 1.1× 10 598
Jolanda Lindenberg Netherlands 14 221 0.8× 84 0.5× 111 0.8× 142 1.6× 96 1.2× 35 495
Stefano Cavalli Switzerland 10 131 0.5× 110 0.7× 185 1.3× 65 0.7× 49 0.6× 51 417
Johanna Nordmyr Finland 8 163 0.6× 105 0.7× 114 0.8× 144 1.7× 87 1.1× 27 413
Rotem Perach United Kingdom 10 182 0.7× 55 0.3× 130 0.9× 39 0.4× 69 0.9× 24 453

Countries citing papers authored by Sae Hwang Han

Since Specialization
Citations

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

Fields of papers citing papers by Sae Hwang Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sae Hwang Han. 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 Sae Hwang Han. The network helps show where Sae Hwang Han may publish in the future.

Co-authorship network of co-authors of Sae Hwang Han

This figure shows the co-authorship network connecting the top 25 collaborators of Sae Hwang Han. A scholar is included among the top collaborators of Sae Hwang Han 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 Sae Hwang Han. Sae Hwang Han 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.
2.
Han, Sae Hwang, Jeffrey A. Burr, & Shiyang Zhang. (2025). Helping behaviors and cognitive function in later life: The impact of dynamic role transitions and dose changes. Social Science & Medicine. 383. 118465–118465.
3.
Ehrenkranz, Rebecca, et al.. (2024). Analysis of eligibility criteria in Alzheimer’s and related dementias clinical trials. Scientific Reports. 14(1). 15036–15036. 3 indexed citations
4.
Han, Sae Hwang, et al.. (2024). Heterogeneous Effects of Volunteering on Frailty in Later Life: A Panel Quantile Regression Approach. The Journals of Gerontology Series B. 79(5). 2 indexed citations
5.
Lyons, Karen S., Sae Hwang Han, Kyungmin Kim, & Lyndsey Miller. (2024). Dyadic Appraisals of Family Decisions and Health Tasks in Midlife-Older Couples. Research on Aging. 47(2). 151–162. 1 indexed citations
6.
Kim, Seoyoun, Cal Halvorsen, & Sae Hwang Han. (2023). Volunteering and Changes in Cardiovascular Biomarkers: Longitudinal Evidence From the Health and Retirement Study. Innovation in Aging. 7(5). 6 indexed citations
7.
Han, Sae Hwang. (2023). Revisiting the caregiver stress process: Does family caregiving really lead to worse mental health outcomes?. Advances in Life Course Research. 58. 100579–100579. 4 indexed citations
8.
Choi, Jean, Sae Hwang Han, Yee To Ng, & Elizabeth Muñoz. (2023). Neighborhood Cohesion Across the Life Course and Effects on Cognitive Aging. The Journals of Gerontology Series B. 78(10). 1765–1774. 3 indexed citations
9.
Kim, Seoyoun, Cal Halvorsen, & Sae Hwang Han. (2023). VOLUNTEERING AND CHANGES IN CARDIOVASCULAR BIOMARKERS: LONGITUDINAL EVIDENCE FROM THE HEALTH AND RETIREMENT STUDY. Innovation in Aging. 7(Supplement_1). 490–490. 1 indexed citations
10.
Ng, Yee To, Sae Hwang Han, Karen L. Fingerman, & Kira S. Birditt. (2023). Do friends get under the skin?: Everyday social encounters and cardiovascular functioning among Black and White adults in the United States.. Health Psychology. 43(2). 142–153. 4 indexed citations
11.
12.
Han, Sae Hwang, Kyungmin Kim, & Jeffrey A. Burr. (2021). Take a sad song and make it better: Spousal activity limitations, caregiving, and depressive symptoms among couples. Social Science & Medicine. 281. 114081–114081. 6 indexed citations
13.
Han, Sae Hwang. (2021). Health consequences of retirement due to non-health reasons or poor health. Social Science & Medicine. 273. 113767–113767. 10 indexed citations
14.
Huo, Meng, Kyungmin Kim, & Sae Hwang Han. (2021). The Impact of Marital Quality as Older Couples Adjust to Dementia Onset. The Journals of Gerontology Series B. 77(6). 1026–1036. 3 indexed citations
15.
Wang, Haowei, Sae Hwang Han, Kyungmin Kim, & Jeffrey A. Burr. (2020). Adult children's achievements and ageing parents’ depressive symptoms in China. Ageing and Society. 42(4). 896–917. 5 indexed citations
16.
Burr, Jeffrey A., Sae Hwang Han, & Changmin Peng. (2020). Childhood Friendship Experiences and Cognitive Functioning in Later Life: The Mediating Roles of Adult Social Disconnectedness and Adult Loneliness. The Gerontologist. 60(8). 1456–1465. 24 indexed citations
17.
Han, Sae Hwang, J. Scott Roberts, Jan Mutchler, & Jeffrey A. Burr. (2020). Volunteering, polygenic risk for Alzheimer's disease, and cognitive functioning among older adults. Social Science & Medicine. 253. 112970–112970. 26 indexed citations
18.
Han, Sae Hwang, Bei Wu, & Jeffrey A. Burr. (2019). Edentulism and Trajectories of Cognitive Functioning Among Older Adults: The Role of Dental Care Service Utilization. Journal of Aging and Health. 32(7-8). 744–752. 19 indexed citations
19.
Han, Sae Hwang, Kyungmin Kim, & Jeffrey A. Burr. (2018). Social Support and Preventive Healthcare Behaviors Among Couples in Later Life. The Gerontologist. 59(6). 1162–1170. 19 indexed citations
20.
Han, Sae Hwang, Kyungmin Kim, & Jeffrey A. Burr. (2018). Stress-buffering effects of volunteering on salivary cortisol: Results from a daily diary study. Social Science & Medicine. 201. 120–126. 35 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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