Shuping Yang

2.2k citations
74 papers · 1.6k · h-index 25

Impact in

    • Hippo pathway signaling and YAP/TAZ
    • Microtubule and mitosis dynamics
    • Wnt/β-catenin signaling in development and cancer
    • Ubiquitin and proteasome pathways
    • RNA Interference and Gene Delivery

Papers in

Shuping Yang

71 papers receiving 1.5k citations

Peers

Shuping Yang
Comparison fields: 5 of 124
  • Cell Biology 459
  • Molecular Biology 851
  • Cancer Research 174
  • Oncology 189
  • Biochemistry 39
Replace Show‐Mei Chuang with:
Show‐Mei Chuang Taiwan
Ziyan Wang China
Tim H. Holmström Finland
Ling Min China
Qinghai Zeng China
Chao Tang China
Nichole R. Blatner United States
Min Lin China
Enrico Cundari Italy
Ulises Urzúa Chile
Shuping Yang relative to Show‐Mei Chuang Taiwan Show‐Mei Chuang's profile →
Citations per field
00.5×
Show‐Mei Chuang · 1×
Citations per year

Countries citing papers authored by Shuping Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shuping Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015127
2 201394
3 201591
4 201790
5 201759
6 201156
7 201449
8 202148
9 201848
10 201944
11 201242
12 201342
13 201140
14 201835
15 201835
16 201434
17 202133
18 201932
19 202132
20 202331

About Shuping Yang

Shuping Yang is a scholar working on Molecular Biology, Oncology, Cell Biology, Genetics and Surgery, having authored 74 papers that have together received 1.6k indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (11 papers), Microtubule and mitosis dynamics (7 papers), Nanoplatforms for cancer theranostics (6 papers), Ubiquitin and proteasome pathways (5 papers), Forensic and Genetic Research (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Cancer-related Molecular Pathways (4 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Cell Biology (459 citations), Molecular Biology (851 citations), Cancer Research (174 citations), Oncology (189 citations) and Biochemistry (39 citations). Shuping Yang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Jixin Dong, Yuanhong Chen, Lin Zhang, Xingcheng Chen, Yongmei Xie, Fangfang Yang, Tinghong Ye, Kai Fu, Fang Yu and Yuanle Deng. Their work appears in journals such as Oncotarget, Cellular Signalling, Biomedicine & Pharmacotherapy, Scientific Reports and Anti-Cancer Drugs.

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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