Wenjun Wang

34 papers receiving 565 citations

Peers

Wenjun Wang
Comparison fields: 5 of 109
  • Reproductive Medicine 69
  • Business and International Management 16
  • Molecular Biology 300
  • Aquatic Science 30
  • Biotechnology 34
Replace James T. Neal with:
James T. Neal United States
Wenzhi Jiang China
Stefan Moisyadi United States
Sönke Harder Germany
Xianbo Zhang China
Aiyun Wen China
Parikipandla Sridevi India
Yingli Han China
P. Sysa Poland
Wenjun Wang relative to James T. Neal United States James T. Neal's profile →
Citations per field
00.5×6.3×
James T. Neal · 1×
Citations per year

Countries citing papers authored by Wenjun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Wenjun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991116
2 201892
3 201480
4 199356
5 200544
6 199525
7
Determinants of Entrepreneurial Intentions among the College Students in: China and Pakistan
201223
8 201715
9 202011
10 202410
11 19899
12 20229
13 20168
14 20068
15 20217
16 20097
17 20176
18 20256
19 20225
20 20135

About Wenjun Wang

Wenjun Wang is a scholar working on Molecular Biology, Genetics, Global and Planetary Change, Cellular and Molecular Neuroscience and Business and International Management, having authored 35 papers that have together received 579 indexed citations. Recurring topics across this work include Entrepreneurship Studies and Influences (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Innovation and Socioeconomic Development (3 papers), Glycosylation and Glycoproteins Research (2 papers), High-Temperature Coating Behaviors (2 papers), Immunotherapy and Immune Responses (2 papers), High Entropy Alloys Studies (2 papers) and Growth Hormone and Insulin-like Growth Factors (2 papers). The work is most often cited by research in Reproductive Medicine (69 citations), Business and International Management (16 citations), Molecular Biology (300 citations), Aquatic Science (30 citations) and Biotechnology (34 citations). Wenjun Wang has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Gerhard Giebisch, Zhida Liu, Mingzhao Zhu, Maria Dufau, E. Buczko, Chon‐Hwa Tsai‐Morris, Antônio Carlos Cassola, Wenjie Tan, Yang‐Xin Fu and Hang Zhou. Their work appears in journals such as Frontiers in Cell and Developmental Biology, American Journal of Physiology-Renal Physiology, Food Research International, Gene and Scientific Reports.

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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