Shangjun Wang

413 citations
23 papers · 277 · h-index 8

Impact in

Papers in

    • Microbial Metabolic Engineering and Bioproduction 5
    • CRISPR and Genetic Engineering 3
    • Enzyme Catalysis and Immobilization 2
    • Biofuel production and bioconversion 5

Shangjun Wang

20 papers receiving 271 citations

Peers

Shangjun Wang
Comparison fields: 5 of 80
  • Cancer Research 46
  • Biomedical Engineering 101
  • Biotechnology 18
  • Molecular Biology 121
  • Fluid Flow and Transfer Processes 9
Replace Burton Kuan Hui Chia with:
Burton Kuan Hui Chia Singapore
Shukun Chen China
Masami Kondo Japan
Lifei Yang China
Arun Pandian Chandrasekaran South Korea
Ruth Foley Ireland
Dezhi Li China
Yue Zhu China
Hui Min Tan China
Chenzhi Zhang China
Shangjun Wang relative to Burton Kuan Hui Chia Singapore Burton Kuan Hui Chia's profile →
Citations per field
00.5×4.4×
Burton Kuan Hui Chia · 1×
Citations per year

Countries citing papers authored by Shangjun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shangjun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201881
2 202145
3 201931
4 201928
5 202317
6 202414
7 202110
8 202110
9 20237
10 20216
11 20226
12 20246
13 20245
14 20253
15
Problems with Older Adults’ Adoption of Robo Advisors: an Empirical Study
20203
16 20241
17 20251
18 20231
19 20251
20 20121

About Shangjun Wang

Shangjun Wang is a scholar working on Molecular Biology, Biomedical Engineering, Mechanical Engineering, Cancer Research and Pathology and Forensic Medicine, having authored 23 papers that have together received 277 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (5 papers), Biofuel production and bioconversion (5 papers), Cancer Genomics and Diagnostics (3 papers), CRISPR and Genetic Engineering (3 papers), Recycling and Waste Management Techniques (2 papers), Enzyme Catalysis and Immobilization (2 papers), Extraction and Separation Processes (2 papers) and Advancements in Battery Materials (2 papers). The work is most often cited by research in Cancer Research (46 citations), Biomedical Engineering (101 citations), Biotechnology (18 citations), Molecular Biology (121 citations) and Fluid Flow and Transfer Processes (9 citations). Shangjun Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Lianhua Dong, Boqiang Fu, Jing Wang, Yi Wang, Jun Feng, Yifen Wang, Liang Guo, Pixiang Wang, Chunyan Niu and Yunhua Gao. Their work appears in journals such as Bioresource Technology, Biotechnology and Bioengineering, Analytical and Bioanalytical Chemistry, Nature Communications and ACS Synthetic Biology.

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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