Nan Lü

1.3k citations
65 papers · 777 · h-index 18

Impact in

Papers in

Nan Lü

57 papers receiving 767 citations

Peers

Nan Lü
Comparison fields: 5 of 84
  • Neuropsychology and Physiological Psychology 97
  • Health 483
  • Demography 151
  • Sociology and Political Science 346
  • Social Psychology 162
Replace Yukinobu Ichida with:
Yukinobu Ichida Japan
Elena Portacolone United States
Said Shahtahmasebi New Zealand
E‐Shien Chang United States
Xian Liu United States
Banghwa Lee Casado United States
Kerstin Gerst-Emerson United States
Olujoke Fakoya United Kingdom
Antti Karisto Finland
Miriam Rose United States
Nan Lü relative to Yukinobu Ichida Japan Yukinobu Ichida's profile →
Citations per field
00.5×6.3×
Yukinobu Ichida · 1×
Citations per year

Countries citing papers authored by Nan Lü

Since Specialization
Citations

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

Fields of papers citing papers by Nan Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nan Lü, 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 Nan Lü Line = papers co-authored together Nan Lü links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202044
2 202043
3 201836
4 201535
5 201535
6 201634
7 201929
8 201929
9 202228
10 201325
11 201624
12 201623
13 201521
14 202021
15 201920
16 202118
17 201918
18 202217
19 201716
20 202116

About Nan Lü

Nan Lü is a scholar working on Health, Sociology and Political Science, General Health Professions, Social Psychology and Psychiatry and Mental health, having authored 65 papers that have together received 777 indexed citations. Recurring topics across this work include Health disparities and outcomes (50 papers), Intergenerational Family Dynamics and Caregiving (29 papers), Social Capital and Networks (13 papers), Psychological Well-being and Life Satisfaction (13 papers), Dementia and Cognitive Impairment Research (11 papers), Migration, Aging, and Tourism Studies (10 papers), Aging and Gerontology Research (8 papers) and Health, psychology, and well-being (4 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (97 citations), Health (483 citations), Demography (151 citations), Sociology and Political Science (346 citations) and Social Psychology (162 citations). Nan Lü has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include VW Lou, Qian Sun, Jingyue Zhang, Nan Jiang, Jinyu Liu, Changmin Peng, Bei Wu, Iris Chi, Ling Xu and Terry Yat Sang Lum. Their work appears in journals such as Aging & Mental Health, International Journal of Environmental Research and Public Health, Ageing and Society, Health & Social Care in the Community and Research on Aging.

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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