Shangce Du

772 citations
14 papers · 479 · h-index 13

Impact in

  • Physiology top 5%
    • Adenosine and Purinergic Signaling
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism

Papers in

Shangce Du

14 papers receiving 472 citations

Peers

Shangce Du
Comparison fields: 5 of 67
  • Physiology 49
  • Cancer Research 118
  • Oncology 117
  • Immunology 83
  • Pulmonary and Respiratory Medicine 80
Replace Siguang Xu with:
Siguang Xu China
Pei-Qi Huang China
Shinichi Umeda Japan
Maarit Ahtiainen Finland
Nicole Malet France
Daniel Heudobler Germany
Е. К. Олейник Russia
Gaël S. Roth France
Chang-Sheng Chang United States
Ken Kojo Japan
Shangce Du relative to Siguang Xu China Siguang Xu's profile →
Citations per field
00.5×3.1×
Siguang Xu · 1×
Citations per year

Countries citing papers authored by Shangce Du

Since Specialization
Citations

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

Fields of papers citing papers by Shangce Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 202165
2 201963
3 201961
4 201857
5 201741
6 202038
7 201730
8 202228
9 201825
10
CCDC26 knockdown enhances resistance of gastrointestinal stromal tumor cells to imatinib by interacting with c-KIT.
201817
11 202114
12 202014
13
NADPH oxidase 4 is correlated with gastric cancer progression and predicts a poor prognosis.
201914
14 201912

About Shangce Du

Shangce Du is a scholar working on Molecular Biology, Cancer Research, Immunology, Oncology and Physiology, having authored 14 papers that have together received 479 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Estrogen and related hormone effects (2 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Nitric Oxide and Endothelin Effects (2 papers), Adenosine and Purinergic Signaling (2 papers), Protein Tyrosine Phosphatases (2 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers). The work is most often cited by research in Physiology (49 citations), Cancer Research (118 citations), Oncology (117 citations), Immunology (83 citations) and Pulmonary and Respiratory Medicine (80 citations). Shangce Du has collaborated with scholars based in China, Germany and Russia. Frequent co-authors include Ji Miao, En Xu, Shichao Ai, Xiaofeng Lu, Linsen Shi, Min Feng, Jun Song, Xuefeng Xia, Xingzhou Wang and Xing Kang. Their work appears in journals such as Frontiers in Cell and Developmental Biology, Molecular Biology of the Cell, BioMed Research International, Cancer Medicine and Current Molecular Medicine.

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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