Lai Sheung Chan

1.6k citations
7 papers · 1.2k indexed · 1 hit paper · h-index 7
Topics
Advanced biosensing and bioanalysis techniques (2 papers)Knowledge Management and Sharing (1 paper)Genomics, phytochemicals, and oxidative stress (1 paper)

In The Last Decade

Lai Sheung Chan

7 papers receiving 1.1k citations

Hit Papers

Social network, social trust and shared goals in organiza...20082026201420202008250500750

Peers

Lai Sheung Chan
Comparison fields: 5 of 119
  • Communication 595
  • Sociology and Political Science 431
  • Information Systems and Management 281
  • Strategy and Management 180
  • Artificial Intelligence 170
Replace Teresa Ju with:
Teresa Ju United States
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Sonia Royo Spain
J.A. de Ridder Netherlands
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Shu‐Hui Chuang Taiwan
Dieter Fink Australia
Manjit Singh Sandhu Malaysia
Lai Sheung Chan relative to Teresa Ju United States Teresa Ju's profile →
Citations per field
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Citations per year

Countries citing papers authored by Lai Sheung Chan

Since Specialization
Citations

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

Fields of papers citing papers by Lai Sheung Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lai Sheung Chan. 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 Lai Sheung Chan. The network helps show where Lai Sheung Chan may publish in the future.

Co-authorship network of co-authors of Lai Sheung Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Lai Sheung Chan. A scholar is included among the top collaborators of Lai Sheung Chan 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 Lai Sheung Chan. Lai Sheung Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 7
2 63
3 24
4 26
5 56
6
SOCIAL NETWORK AND SHARED GOALS IN ORGANIZATIONAL KNOWLEDGE SHARING
29
7
Social network, social trust and shared goals in organizational knowledge sharingbreakdown →
966

About Lai Sheung Chan

Lai Sheung Chan is a scholar working on Communication, Oncology and Molecular Biology, having authored 7 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (2 papers), Knowledge Management and Sharing (1 paper) and Genomics, phytochemicals, and oxidative stress (1 paper). The work is most often cited by research in Communication (595 citations), Information Systems and Management (281 citations) and Organizational Behavior and Human Resource Management (146 citations). Lai Sheung Chan has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Wing S. Chow, Kwok Wai Lo, Hong Lok Lung, Ka‐Leung Wong, Shuai Zha, Hoa K. Chau, Nai Ki Mak, Jun Lin, Maria Li Lung and Roger Kai Cheong Ngan. Their work appears in journals such as Scientific Reports, Nanoscale and Advanced Science.

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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