Shouye Wang

531 citations
29 papers · 438 · h-index 12

Impact in

Papers in

    • PI3K/AKT/mTOR signaling in cancer 4
    • Protein Interaction Studies and Fluorescence Analysis 3
    • Cellular Mechanics and Interactions 6
    • Hemoglobin structure and function 3

Shouye Wang

28 papers receiving 430 citations

Peers

Shouye Wang
Comparison fields: 5 of 81
  • Immunology and Allergy 80
  • Geology 36
  • Ceramics and Composites 24
  • Cell Biology 68
  • Oncology 89
Replace Shuji Sato with:
Shuji Sato Japan
André Durham Switzerland
Benming Liu China
Michael J. Randles United Kingdom
Michio Fujisawa Japan
Beata Styp‐Rekowska Switzerland
Helen M. Stuart United Kingdom
Britta E. Jones United States
Shouye Wang relative to Shuji Sato Japan Shuji Sato's profile →
Citations per field
00.5×10.3×
Shuji Sato · 1×
Citations per year

Countries citing papers authored by Shouye Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shouye Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202068
2 201159
3 202053
4 201839
5 200830
6 200923
7 200920
8 200919
9 201118
10 200717
11 201815
12
Characterization and genesis of the Middle and Late Eocene tectonic changes in Zhu 1 Depression of Pearl River Mouth Basin
201612
13 201011
14 20137
15 20016
16 19995
17 20205
18 20175
19 20195
20 20064

About Shouye Wang

Shouye Wang is a scholar working on Molecular Biology, Cell Biology, Immunology and Allergy, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 29 papers that have together received 438 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (8 papers), Cellular Mechanics and Interactions (6 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), CAR-T cell therapy research (3 papers), Hemoglobin structure and function (3 papers), Protein Interaction Studies and Fluorescence Analysis (3 papers) and Vascular Tumors and Angiosarcomas (2 papers). The work is most often cited by research in Immunology and Allergy (80 citations), Geology (36 citations), Ceramics and Composites (24 citations), Cell Biology (68 citations) and Oncology (89 citations). Shouye Wang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Marc D. Basson, Yejie Cao, Haoxuan Wang, Yiguang Wang, Lakshmi S. Chaturvedi, Christopher P. Gayer, Lin Chen, Xiaoyan Xie, Xuetao Pei and Wen Yue. Their work appears in journals such as Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Gastroenterology, Anti-Cancer Agents in Medicinal Chemistry, Tectonophysics and American Journal of Physiology-Cell Physiology.

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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