Si Yu

955 citations
32 papers · 736 · h-index 15

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • Extracellular vesicles in disease
    • Circular RNAs in diseases
    • Metabolomics and Mass Spectrometry Studies
    • Single-cell and spatial transcriptomics

Papers in

Si Yu

31 papers receiving 732 citations

Peers

Si Yu
Comparison fields: 5 of 94
  • Cancer Research 217
  • Molecular Biology 415
  • Genetics 39
  • Oral Surgery 23
  • Health Informatics 4
Replace Zengtong Zhou with:
Zengtong Zhou China
Etel Rodrigues Pereira Gimba Brazil
Kai Dun Tang Australia
Ying Dong China
Wenxia Meng China
Mozeena Bano United States
Simon W. Lee United States
Ajaya Kumar Reka United States
Li Bao China
Si Yu relative to Zengtong Zhou China Zengtong Zhou's profile →
Citations per field
00.5×1.7×
Zengtong Zhou · 1×
Citations per year

Countries citing papers authored by Si Yu

Since Specialization
Citations

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

Fields of papers citing papers by Si Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015121
2 2021104
3 202062
4 202148
5 202046
6 201946
7 201642
8 201733
9 201930
10 202024
11 201923
12 202117
13 201917
14 201717
15 202316
16 200914
17 202313
18 202210
19
Tolerogenic semimature dendritic cells induce effector T-cell hyporesponsiveness by the activation of antigen-specific CD4+ CD25+ T-regulatory cells.
20099
20 20217

About Si Yu

Si Yu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Surgery and Oncology, having authored 32 papers that have together received 736 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), Ferroptosis and cancer prognosis (3 papers), Extracellular vesicles in disease (3 papers), MicroRNA in disease regulation (3 papers), Natural product bioactivities and synthesis (2 papers), Phytochemical Studies and Bioactivities (2 papers), RNA modifications and cancer (2 papers) and Inflammatory Bowel Disease (2 papers). The work is most often cited by research in Cancer Research (217 citations), Molecular Biology (415 citations), Genetics (39 citations), Oral Surgery (23 citations) and Health Informatics (4 citations). Si Yu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yongchang Zheng, Yang Chen, Haifeng Xu, Yao Liu, Yang Meng, Yue Shi, Junhua Zhang, P Liu, Huaxia Yang and Peng Xu. Their work appears in journals such as Analytical Cellular Pathology, Aging, Stem Cell Research & Therapy, Oncogene 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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