Shao-Ming Shen

908 citations
24 papers · 686 indexed · h-index 13

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Cancer-related molecular mechanisms research
    • Ubiquitin and proteasome pathways
    • PI3K/AKT/mTOR signaling in cancer
    • RNA modifications and cancer

Papers in

Shao-Ming Shen

24 papers receiving 679 citations

Peers

Shao-Ming Shen
Comparison fields: 5 of 85
  • Cancer Research 132
  • Molecular Biology 410
  • Infectious Diseases 84
  • Oncology 105
  • Biochemistry 25
Replace Boda Zhou with:
Boda Zhou China
Anup Srivastava United States
Haraldur Halldórsson Iceland
David Fernández‐Ramos Spain
Tamás Csonka Hungary
Libo Sun China
Ali N. Chamseddine France
Qun Liu China
Shulin Lu United States
Jihua Shi China
Shao-Ming Shen relative to Boda Zhou China Boda Zhou's profile →
Citations per field
00.5×1.5×2.0×
Boda Zhou · 1×
Citations per year

Countries citing papers authored by Shao-Ming Shen

Since Specialization
Citations

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

Fields of papers citing papers by Shao-Ming Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shao-Ming Shen. 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 Shao-Ming Shen. The network helps show where Shao-Ming Shen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202413
2 20245
3 202333
4 202212
5 20225
6 20217
7 202071
8 201955
9 20193
10 201848
11 201621
12 201515
13 20148
14 20133
15 201329
16 20138
17 201110
18 201037
19 2009196
20 200734

About Shao-Ming Shen

Shao-Ming Shen is a scholar working on Horticulture, Cancer Research, Molecular Biology, Hematology and Genetics, having authored 24 papers that have together received 686 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (7 papers), Ubiquitin and proteasome pathways (6 papers), RNA modifications and cancer (4 papers), Cell death mechanisms and regulation (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), RNA Research and Splicing (3 papers), Acute Myeloid Leukemia Research (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Cancer Research (132 citations), Molecular Biology (410 citations), Infectious Diseases (84 citations), Oncology (105 citations) and Biochemistry (25 citations). Shao-Ming Shen has collaborated with scholars based in China, Thailand and Japan. Frequent co-authors include Guoqiang Chen, Xia Li, Li‐Shun Wang, Meng-Kai Ge, Ruifeng Zhang, Lin Zhou, Meng Zhao, Huanying Wan, Shihua Liao and Qing Yun Li. Their work appears in journals such as Journal of Proteome Research, Biochemical and Biophysical Research Communications, Nature Communications, Cell Death and Disease and Nature Cell 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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