Sha Wang

57 papers receiving 765 citations

Peers

Sha Wang
Comparison fields: 5 of 128
  • Obstetrics and Gynecology 97
  • Research and Theory 9
  • Tourism, Leisure and Hospitality Management 16
  • Management of Technology and Innovation 60
  • Business and International Management 15
Replace Gösta Karlsson with:
Gösta Karlsson Sweden
Bona Kim South Korea
Allison Lee United States
James L. Thomas United States
Li Tian China
Karen Johnson United States
Michael F. Flanagan United States
Catherine Johnson Australia
Sha Wang relative to Gösta Karlsson Sweden Gösta Karlsson's profile →
Citations per field
00.5×12.2×
Gösta Karlsson · 1×
Citations per year

Countries citing papers authored by Sha Wang

Since Specialization
Citations

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

Fields of papers citing papers by Sha Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018133
2 201864
3 201756
4 202055
5 201739
6 202038
7 202137
8 201830
9 201725
10 202020
11 201719
12 202317
13 201716
14 202014
15 202414
16 202013
17 201813
18 202212
19 202112
20 202211

About Sha Wang

Sha Wang is a scholar working on Obstetrics and Gynecology, Sociology and Political Science, Molecular Biology, Ophthalmology and Transportation, having authored 62 papers that have together received 783 indexed citations. Recurring topics across this work include Gynecological conditions and treatments (9 papers), Ocular Oncology and Treatments (6 papers), Diverse Aspects of Tourism Research (4 papers), Cruise Tourism Development and Management (4 papers), Uterine Myomas and Treatments (4 papers), Endometriosis Research and Treatment (3 papers), Migraine and Headache Studies (3 papers) and Patient Safety and Medication Errors (2 papers). The work is most often cited by research in Obstetrics and Gynecology (97 citations), Research and Theory (9 citations), Tourism, Leisure and Hospitality Management (16 citations), Management of Technology and Innovation (60 citations) and Business and International Management (15 citations). Sha Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Kam Hung, Wei‐Jue Huang, Hua Duan, Qian Xu, Lixue Chen, Lu Gan, Minglong Li, Andy S. K. Cheng, Fuqing Sun and Yi Wang. Their work appears in journals such as Journal of China Tourism Research, Journal of Affective Disorders, Frontiers in Immunology, International Journal of Hospitality Management and Frontiers in Psychology.

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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