Xiaoshuo Dai

459 citations
14 papers · 312 · h-index 8

Impact in

    • Cancer, Lipids, and Metabolism
    • Cancer Immunotherapy and Biomarkers
    • Cytokine Signaling Pathways and Interactions

Papers in

    • Cancer-related gene regulation 4
    • RNA modifications and cancer 3
    • Advanced biosensing and bioanalysis techniques 1
    • Cytokine Signaling Pathways and Interactions 4
    • Peptidase Inhibition and Analysis 2

Xiaoshuo Dai

14 papers receiving 309 citations

Peers

Xiaoshuo Dai
Comparison fields: 5 of 72
  • Cancer Research 68
  • Oncology 83
  • Pharmacology 25
  • Immunology 58
  • Molecular Biology 178
Replace Pihong Li with:
Pihong Li China
Sang Hyun Song South Korea
Sheefa Mirza India
Qing Chang United States
Xiaogang Sun China
Qiuyun Guo China
Chee Onn Leong Malaysia
Jianhua Cai China
Jun Qian China
Xiaoshuo Dai relative to Pihong Li China Pihong Li's profile →
Citations per field
00.5×4.7×
Pihong Li · 1×
Citations per year

Countries citing papers authored by Xiaoshuo Dai

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoshuo Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2021168
2 202431
3 202023
4 202018
5 202315
6 202313
7 202213
8 202310
9 20197
10 20236
11 20234
12 20242
13 20251
14 20211

About Xiaoshuo Dai

Xiaoshuo Dai is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Organic Chemistry, having authored 14 papers that have together received 312 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (4 papers), Cancer Mechanisms and Therapy (4 papers), Cancer-related gene regulation (4 papers), RNA modifications and cancer (3 papers), Ferroptosis and cancer prognosis (2 papers), Immune cells in cancer (2 papers), Peptidase Inhibition and Analysis (2 papers) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Cancer Research (68 citations), Oncology (83 citations), Pharmacology (25 citations), Immunology (58 citations) and Molecular Biology (178 citations). Xiaoshuo Dai has collaborated with scholars based in China. Frequent co-authors include Jing Lü, Yihuan Chen, Qiushuang Zhang, Saijun Mo, Xiaoyan Zhang, Wei Chen, Yihui Wang, Shuyu Li, Juntao Ma and Chengjuan Zhang. Their work appears in journals such as International Immunopharmacology, Oncogene, Anti-Cancer Agents in Medicinal Chemistry, International Journal of Biological Macromolecules and Cancer Letters.

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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