Sen Shang

433 citations
26 papers · 311 · h-index 9

Impact in

Papers in

    • Diet and metabolism studies 5
    • Adipose Tissue and Metabolism 4
    • Microbial Inactivation Methods 4

Sen Shang

26 papers receiving 304 citations

Peers

Sen Shang
Comparison fields: 5 of 86
  • Biological Psychiatry 12
  • Physiology 109
  • Aging 5
  • Biomaterials 24
  • Process Chemistry and Technology 5
Replace Shunxing Zhu with:
Shunxing Zhu China
Fan Bai China
Lanlan Jia China
Joseph Johnson United States
Chinnaswamy Kasinathan United States
Rui Meng China
Shashank Kumar Maurya India
Arianna Amato Italy
S. Smith United States
Clément Bruno France
Sen Shang relative to Shunxing Zhu China Shunxing Zhu's profile →
Citations per field
00.5×1.5×1.8×
Shunxing Zhu · 1×
Citations per year

Countries citing papers authored by Sen Shang

Since Specialization
Citations

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

Fields of papers citing papers by Sen Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201868
2 201858
3 202023
4 202121
5 202217
6 202413
7 201813
8
A Coupled Rotor/Wing Optimization Procedure for High Speed Tilt-Rotor Aircraft
199512
9 201911
10 20199
11 20229
12 20248
13 20238
14 20217
15 20206
16 20216
17 20245
18 20244
19 20243
20 20242

About Sen Shang

Sen Shang is a scholar working on Physiology, Biotechnology, Aging, Immunology and Allergy and Endocrine and Autonomic Systems, having authored 26 papers that have together received 311 indexed citations. Recurring topics across this work include Diet and metabolism studies (5 papers), Terahertz technology and applications (5 papers), Adipose Tissue and Metabolism (4 papers), Microbial Inactivation Methods (4 papers), Bioinformatics and Genomic Networks (3 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Grouting, Rheology, and Soil Mechanics (2 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Biological Psychiatry (12 citations), Physiology (109 citations), Aging (5 citations), Biomaterials (24 citations) and Process Chemistry and Technology (5 citations). Sen Shang has collaborated with scholars based in China, Italy and United States. Frequent co-authors include Xiaoyun Lu, Erling Hu, Haixia Lü, Yali Zhang, Leilei Wang, Leilei Wang, Huan Du, Xinliang Zhu, Qi Zhang and Fan Fan. Their work appears in journals such as iScience, International Journal of Molecular Sciences, Neuroscience, Biomedical Optics Express and Molecular and Cellular Neuroscience.

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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