Yan Huang

4.0k citations
118 papers · 2.4k · 1 hit paper · h-index 26

Impact in

    • Electrospun Nanofibers in Biomedical Applications
  • Marketing top 2%
    • Consumer Behavior in Brand Consumption and Identification

Papers in

Yan Huang

105 papers receiving 2.3k citations

Yan Huang's Hit Papers

In vitro characterization of chitosan–gelatin scaffolds for tissue engineering 2005 · 535 citations
5350+7+14Years since publication100200300400500

Peers

Yan Huang
Comparison fields: 5 of 163
  • Biomaterials 444
  • Marketing 286
  • Communication 192
  • Virology 103
  • Applied Psychology 89
Replace Eun Mi Lee with:
Eun Mi Lee South Korea
Eun‐Ju Lee South Korea
Xiaoyu Chen China
David Wood Australia
Igor Pantić Serbia
Hye‐Kyung Lee South Korea
Sojung Kim South Korea
Sudhir Verma India
Jing Lei China
Yan Huang relative to Eun Mi Lee South Korea Eun Mi Lee's profile →
Citations per field
00.5×11.4×
Eun Mi Lee · 1×
Citations per year

Countries citing papers authored by Yan Huang

Since Specialization
Citations

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

Fields of papers citing papers by Yan Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1
In vitro characterization of chitosan–gelatin scaffolds for tissue engineering
Hit paper breakdown →
2005535
2 2008115
3 2011101
4 200694
5 201677
6 201674
7 202064
8 202064
9 202153
10 200552
11 202352
12 202051
13 201847
14 202043
15 201239
16 201138
17 201637
18 201236
19 202035
20 202133

About Yan Huang

Yan Huang is a scholar working on Sociology and Political Science, Molecular Biology, Literature and Literary Theory, Communication and Marketing, having authored 118 papers that have together received 2.4k indexed citations. Recurring topics across this work include Media Influence and Health (17 papers), Digital Marketing and Social Media (13 papers), Natural product bioactivities and synthesis (11 papers), Magnolia and Illicium research (10 papers), Consumer Behavior in Brand Consumption and Identification (9 papers), Impact of Technology on Adolescents (9 papers), Misinformation and Its Impacts (8 papers) and Public Relations and Crisis Communication (7 papers). The work is most often cited by research in Biomaterials (444 citations), Marketing (286 citations), Communication (192 citations), Virology (103 citations) and Applied Psychology (89 citations). Yan Huang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Sundararajan V. Madihally, Harmen Oppewal, Dong‐Chul Seo, Ruoxu Wang, Weirui Wang, Wenlin Liu, Fuyuan Shen, Chun Yang, Rui‐Yun Yang and Ruobing Li. Their work appears in journals such as Science Communication, Phytochemistry, Health Communication, Chinese Journal of Natural Medicines and Sustainability.

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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