Xiaoting Yu

1.3k citations
45 papers · 930 · h-index 17

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer Immunotherapy and Biomarkers

Papers in

    • RNA Research and Splicing 4
    • Circular RNAs in diseases 3
    • Cancer-related molecular mechanisms research 5
    • MicroRNA in disease regulation 4

Xiaoting Yu

42 papers receiving 922 citations

Peers

Xiaoting Yu
Comparison fields: 5 of 93
  • Cancer Research 279
  • Oncology 165
  • Geriatrics and Gerontology 17
  • Molecular Biology 369
  • Renewable Energy, Sustainability and the Environment 82
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Citations per field
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Citations per year

Countries citing papers authored by Xiaoting Yu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoting Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012171
2 201784
3 202064
4 201557
5 202143
6 201742
7 201542
8 202136
9
Clinical significance of programmed death ligand-1 (PD-L1) in colorectal serrated adenocarcinoma.
201535
10 201733
11 202131
12 201729
13 202326
14 201724
15 202120
16 202118
17
Histology subtypes and polyp size are associated with synchronous colorectal carcinoma of colorectal serrated polyps: a study of 499 serrated polyps.
201517
18 202015
19 202114
20 201514

About Xiaoting Yu

Xiaoting Yu is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Immunology and Oncology, having authored 45 papers that have together received 930 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), RNA Research and Splicing (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Fuel Cells and Related Materials (4 papers), MicroRNA in disease regulation (4 papers), Electrocatalysts for Energy Conversion (4 papers), interferon and immune responses (3 papers) and Circular RNAs in diseases (3 papers). The work is most often cited by research in Cancer Research (279 citations), Oncology (165 citations), Geriatrics and Gerontology (17 citations), Molecular Biology (369 citations) and Renewable Energy, Sustainability and the Environment (82 citations). Xiaoting Yu has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Guoqiang Chen, Qianqian Yin, Ming He, Ci-Xiang Zhou, Qian Zhao, Jianrong He, Yongjun Liang, Rui Lin, Qiuyu Wang and Zhixian Hao. Their work appears in journals such as Oncotarget, International Journal of Biological Macromolecules, Cell Death and Disease, Advances in food and nutrition research and Energy Conversion and Management.

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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