Ada C. Mui

3.6k citations
55 papers · 2.7k indexed · 1 hit paper · h-index 27

Ada C. Mui

53 papers receiving 2.5k citations

Hit Papers

Factorial validity of the Center for Epidemiologic Studie...4212013202620172021100200300400

Peers

Ada C. Mui
Comparison fields: 5 of 110
  • Neuropsychology and Physiological Psychology 220
  • Health 1.2k
  • Demography 484
  • General Health Professions 970
  • Clinical Psychology 702
Replace Alfred Chan with:
Alfred Chan Hong Kong
Peggye Dilworth‐Anderson United States
Mary Ann Parris Stephens United States
Giyeon Kim United States
Amanda Sonnega United States
Julie Robison United States
Nan Sook Park United States
Carla Perissinotto United States
Terry Camacho United States
María Aranda United States
Ada C. Mui relative to Alfred Chan Hong Kong Alfred Chan's profile →
Citations per field
00.5×1.5×2.0×
Alfred Chan · 1×
Citations per year

Countries citing papers authored by Ada C. Mui

Since Specialization
Citations

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

Fields of papers citing papers by Ada C. Mui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ada C. Mui. 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 Ada C. Mui. The network helps show where Ada C. Mui may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Ada C. Mui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ada C. Mui Line = papers co-authored together Ada C. Mui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20231
2 20227
3 202121
4 20211
5 20161
6 20151
7
Factorial validity of the Center for Epidemiologic Studies Depression Scale short form in older population in Chinabreakdown →
2013421
8 201228
9
Productive engagement in later life : a global perspective
201211
10
Gerontological Social Work for the 21st Century
20081
11 200875
12 200629
13 2006291
14 200259
15 199942
16 19987
17 199595
18 199334
19 199122
20 198983

About Ada C. Mui

Ada C. Mui is a scholar working on Neuropsychology and Physiological Psychology, Health, Demography, General Health Professions and Sociology and Political Science, having authored 55 papers that have together received 2.7k indexed citations. Recurring topics across this work include Health disparities and outcomes (25 papers), Intergenerational Family Dynamics and Caregiving (21 papers), Geriatric Care and Nursing Homes (11 papers), Aging and Gerontology Research (7 papers), Migration, Aging, and Tourism Studies (6 papers), Dementia and Cognitive Impairment Research (6 papers), Migration, Health and Trauma (5 papers) and Family Support in Illness (4 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (220 citations), Health (1.2k citations), Demography (484 citations), General Health Professions (970 citations) and Clinical Psychology (702 citations). Ada C. Mui has collaborated with scholars based in United States, Taiwan and Hong Kong. Frequent co-authors include Huajuan Chen, Suk-Young Kang, Denise Burnette, Tazuko Shibusawa, Nancy Morrow‐Howell, Alison R. Yung, Maciej Domański, Li-Mei Chen, Bei Wu and Myra Glajchen. Their work appears in journals such as The Gerontologist, Journal of Gerontological Social Work, Innovation in Aging, International Psychogeriatrics and Social Work.

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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