Nainan Wen

645 total citations · 1 hit paper
19 papers, 454 citations indexed

About

Nainan Wen is a scholar working on Sociology and Political Science, Communication and Literature and Literary Theory. According to data from OpenAlex, Nainan Wen has authored 19 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Sociology and Political Science, 6 papers in Communication and 5 papers in Literature and Literary Theory. Recurrent topics in Nainan Wen's work include Media Influence and Health (5 papers), Social Media and Politics (4 papers) and Consumer Behavior in Brand Consumption and Identification (3 papers). Nainan Wen is often cited by papers focused on Media Influence and Health (5 papers), Social Media and Politics (4 papers) and Consumer Behavior in Brand Consumption and Identification (3 papers). Nainan Wen collaborates with scholars based in China, Singapore and Hong Kong. Nainan Wen's co-authors include Shijie Song, Xinlin Yao, Hao Xiaoming, Stella C. Chia, Cherian George, Fuyuan Shen, Yi Liu, Di Cui, Xinyao Ma and Yuan Zhang and has published in prestigious journals such as Sex Roles, Information Processing & Management and Health Communication.

In The Last Decade

Nainan Wen

18 papers receiving 425 citations

Hit Papers

What motivates Chinese consumers to avoid information abo... 2020 2026 2022 2024 2020 50 100 150

Peers

Nainan Wen
Comparison fields: 5 of 69
  • Sociology and Political Science 254
  • Communication 118
  • Clinical Psychology 93
  • Marketing 71
  • Literature and Literary Theory 59
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Citations per field, relative to Nainan Wen
Nainan Wen · 1×
Citations per year, relative to Nainan Wen
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Countries citing papers authored by Nainan Wen

Since Specialization
Citations

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

Fields of papers citing papers by Nainan Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nainan Wen

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 0
2 10
3
What motivates Chinese consumers to avoid information about the COVID-19 pandemic?: The perspective of the stimulus-organism-response model breakdown →
199
4 3
5 14
6
Examining Effects of Informational Use of Social Media Platforms and Social Capital on Civic Engagement Regarding Genetically Modified Foods in China
13
7 7
8
Celebrity Influence and Young People’s Attitudes Toward Cosmetic Surgery in Singapore: The Role of Parasocial Relationships and Identification
13
9 11
10 21
11 27
12 24
13 2
14 5
15
Social media and political participation in Singapore
1
16 38
17
Gender and Political Participation
8
18 29
19 29

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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