Kuan‐Chia Lin

1.1k citations
38 papers · 795 indexed · h-index 13
Topics
Geriatric Care and Nursing Homes (4 papers)Maternal Mental Health During Pregnancy and Postpartum (3 papers)Health disparities and outcomes (3 papers)

In The Last Decade

Kuan‐Chia Lin

36 papers receiving 746 citations

Peers

Kuan‐Chia Lin
Comparison fields: 5 of 113
  • General Health Professions 238
  • Epidemiology 109
  • Rheumatology 105
  • Public Health, Environmental and Occupational Health 95
  • Organizational Behavior and Human Resource Management 88
Replace Neda Mehrdad with:
Neda Mehrdad Iran
Marilyn Kirshbaum United Kingdom
Mi Sook Song South Korea
Paweł Januszewicz Poland
Mahnaz Sanjari Iran
Lillian R. Eriksen United States
Barbara Wade United Kingdom
Constance Visovsky United States
Tara O’Brien United States
Miriam Bender United States
Kuan‐Chia Lin relative to Neda Mehrdad Iran Neda Mehrdad's profile →
Citations per field
00.5×10.5×
Neda Mehrdad · 1×
Citations per year

Countries citing papers authored by Kuan‐Chia Lin

Since Specialization
Citations

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

Fields of papers citing papers by Kuan‐Chia Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuan‐Chia Lin. 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 Kuan‐Chia Lin. The network helps show where Kuan‐Chia Lin may publish in the future.

Co-authorship network of co-authors of Kuan‐Chia Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Kuan‐Chia Lin. A scholar is included among the top collaborators of Kuan‐Chia Lin 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 Kuan‐Chia Lin. Kuan‐Chia Lin 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
#WorkIndexed citations
1 1
2 0
3 7
4 2
5 2
6 5
7 2
8 15
9 44
10 107
11 4
12 1
13 162
14 24
15 31
16 8
17 12
18 12
19 13
20 98

About Kuan‐Chia Lin

Kuan‐Chia Lin is a scholar working on Neuropsychology and Physiological Psychology, Leadership and Management and Issues, ethics and legal aspects, having authored 38 papers that have together received 795 indexed citations. Recurring topics across this work include Geriatric Care and Nursing Homes (4 papers), Maternal Mental Health During Pregnancy and Postpartum (3 papers) and Health disparities and outcomes (3 papers). The work is most often cited by research in Research and Theory (36 citations), Leadership and Management (19 citations) and General Health Professions (238 citations). Kuan‐Chia Lin has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include I‐Chuan Li, Wen‐Yin Chang, Pi‐Hsia Lee, Hsiao-Ting Chiu, Su‐Chen Kuo, Wei Chen, Meei‐Ling Gau, Melissa D. Avery, Hsien‐Tzung Liao and Chun-Hsiung Chen. Their work appears in journals such as PLoS ONE, Annals of the Rheumatic Diseases and International Journal of Epidemiology.

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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