Lik Sam Chan

696 total citations
30 papers, 429 citations indexed

About

Lik Sam Chan is a scholar working on Clinical Psychology, Sociology and Political Science and Gender Studies. According to data from OpenAlex, Lik Sam Chan has authored 30 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Clinical Psychology, 15 papers in Sociology and Political Science and 14 papers in Gender Studies. Recurrent topics in Lik Sam Chan's work include Sexuality, Behavior, and Technology (18 papers), Gender, Feminism, and Media (14 papers) and LGBTQ Health, Identity, and Policy (9 papers). Lik Sam Chan is often cited by papers focused on Sexuality, Behavior, and Technology (18 papers), Gender, Feminism, and Media (14 papers) and LGBTQ Health, Identity, and Policy (9 papers). Lik Sam Chan collaborates with scholars based in Hong Kong, United States and China. Lik Sam Chan's co-authors include Yu‐Te Huang, Dannuo Wei, Margaret McLaughlin, Joshua G. Rosenberger and Yu‐Chih Chen and has published in prestigious journals such as Computers in Human Behavior, Journal of Communication and Addictive Behaviors.

In The Last Decade

Lik Sam Chan

28 papers receiving 420 citations

Peers

Lik Sam Chan
Comparison fields: 5 of 51
  • Clinical Psychology 229
  • Sociology and Political Science 226
  • Gender Studies 169
  • Social Psychology 98
  • Experimental and Cognitive Psychology 86
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Citations per field, relative to Lik Sam Chan
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Citations per year, relative to Lik Sam Chan
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Countries citing papers authored by Lik Sam Chan

Since Specialization
Citations

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

Fields of papers citing papers by Lik Sam Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lik Sam Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Lik Sam Chan. A scholar is included among the top collaborators of Lik Sam 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 Lik Sam Chan. Lik Sam Chan 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
# Work Indexed citations
1 0
2 1
3 16
4 4
5 0
6 6
7 2
8 6
9
Mobile Dating Apps and Racial Preferencing Insights: Exploring Self-Reported Racial Preferences and Behavioral Racial Preferences Among Gay Men Using Jack’d
5
10 29
11 10
12 17
13 21
14 3
15
Emerging Currents in Communication/LGBTQ Studies: A Review of LGBTQ-Related Articles Published in Communication Journals from 2010 to 2015
8
16 94
17 4
18
How Sociocultural Context Matters in Self-Presentation: A Comparison of U.S. and Chinese Profiles on Jack’d, a Mobile Dating App for Men Who Have Sex With Men
23
19 25
20 4

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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