Xiaoting Yu

1.3k citations
46 papers · 1.0k · h-index 17

Impact in

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

Papers in

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

Xiaoting Yu

41 papers receiving 1.0k citations

Peers

Xiaoting Yu
Comparison fields: 5 of 94
  • Cancer Research 283
  • Oncology 192
  • Molecular Biology 410
  • Geriatrics and Gerontology 18
  • Renewable Energy, Sustainability and the Environment 83
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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 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012170
2 201784
3 202065
4 201558
5 201852
6 202150
7 201744
8 201544
9
Clinical significance of programmed death ligand-1 (PD-L1) in colorectal serrated adenocarcinoma.
201538
10 202138
11 201735
12 202134
13 201730
14 202329
15 201726
16 202121
17 202121
18
Histology subtypes and polyp size are associated with synchronous colorectal carcinoma of colorectal serrated polyps: a study of 499 serrated polyps.
201517
19 202415
20 202015

About Xiaoting Yu

Xiaoting Yu is a scholar working on Cancer Research, Molecular Biology, Immunology, Pulmonary and Respiratory Medicine and Renewable Energy, Sustainability and the Environment, having authored 46 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (5 papers), Fuel Cells and Related Materials (4 papers), Electrocatalysts for Energy Conversion (4 papers), RNA Research and Splicing (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), RNA modifications and cancer (3 papers) and Circular RNAs in diseases (3 papers). The work is most often cited by research in Cancer Research (283 citations), Oncology (192 citations), Molecular Biology (410 citations), Geriatrics and Gerontology (18 citations) and Renewable Energy, Sustainability and the Environment (83 citations). Xiaoting Yu has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Guoqiang Chen, Qian Zhao, Ming He, Qianqian Yin, Jianrong He, Ci-Xiang Zhou, Zhixian Hao, Rui Lin, Qiuyu Wang and Yongjun Liang. Their work appears in journals such as International Journal of Biological Macromolecules, Cell Death and Disease, Oncotarget, Plant Disease and Clinical Epigenetics.

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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