Lan Wang

77 papers receiving 853 citations

Peers

Lan Wang
Comparison fields: 5 of 170
  • Organizational Behavior and Human Resource Management 117
  • Virology 22
  • Experimental and Cognitive Psychology 60
  • Communication 30
  • Information Systems and Management 27
Replace Yonghong Chen with:
Yonghong Chen China
Larry Hatcher United States
Noor Azina Ismail Malaysia
Alan J. Klockars United States
Tian Chen China
Samson Agboola Nigeria
H. G. Dikko Nigeria
James G. Surles United States
Jason R. Jones United States
Stephen M. Meyer United States
Lan Wang relative to Yonghong Chen China Yonghong Chen's profile →
Citations per field
00.5×4.2×
Yonghong Chen · 1×
Citations per year

Countries citing papers authored by Lan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201479
2 201747
3 200845
4 201741
5 201736
6 202034
7 202129
8 201229
9 201627
10 201927
11 201624
12 201924
13 201919
14 201619
15 201518
16 200418
17 201817
18 201716
19 201816
20 201516

About Lan Wang

Lan Wang is a scholar working on Business and International Management, Experimental and Cognitive Psychology, Organizational Behavior and Human Resource Management, Behavioral Neuroscience and Geology, having authored 89 papers that have together received 890 indexed citations. Recurring topics across this work include Phonetics and Phonology Research (5 papers), HIV/AIDS Research and Interventions (3 papers), Digital Marketing and Social Media (3 papers), Genetic Associations and Epidemiology (3 papers), AI and HR Technologies (3 papers), Child Abuse and Trauma (3 papers), Epigenetics and DNA Methylation (3 papers) and HIV, Drug Use, Sexual Risk (3 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (117 citations), Virology (22 citations), Experimental and Cognitive Psychology (60 citations), Communication (30 citations) and Information Systems and Management (27 citations). Lan Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Douglas T. Hall, Richard Cotton, Lea Waters, Jon P. Briscoe, Jian Han, Xueyi Wang, Mei Song, Chao Li, Hongzhang Chen and Ping Wang. Their work appears in journals such as BMC Genetics, Human Resource Management, Construction and Building Materials, Frontiers in Psychology and Psychiatry Research.

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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