Zhaoting Yang

845 citations
26 papers · 647 · h-index 17

Impact in

Papers in

    • Cancer Cells and Metastasis 18
    • Hedgehog Signaling Pathway Studies 7
    • Epigenetics and DNA Methylation 5
    • Cancer-related gene regulation 4

Zhaoting Yang

25 papers receiving 646 citations

Peers

Zhaoting Yang
Comparison fields: 5 of 57
  • Immunology and Allergy 85
  • Cancer Research 182
  • Oncology 304
  • Molecular Biology 382
  • Cell Biology 69
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Miran Rada Canada
Jacqueline E. Noll Australia
Neel I. Nissen Denmark
Takahiro Heishi Japan
Zi-yao Liu United States
Sílvia Batista United Kingdom
Biancastella Cereser United Kingdom
Andreas Enns Germany
Robert Seed United Kingdom
Natascha Cremers Germany
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Citations per field
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Citations per year

Countries citing papers authored by Zhaoting Yang

Since Specialization
Citations

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

Fields of papers citing papers by Zhaoting Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201771
2 202055
3 201853
4 201650
5 201642
6 201736
7 201833
8 201826
9 201825
10 201924
11 201723
12 202021
13 201720
14 202019
15 202218
16 201917
17 201916
18 202016
19
Gli1, a potential cancer stem cell marker, is strongly associated with prognosis in prostate cancer.
201814
20 202114

About Zhaoting Yang

Zhaoting Yang is a scholar working on Oncology, Molecular Biology, Cancer Research, Cell Biology and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 647 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (18 papers), Hedgehog Signaling Pathway Studies (7 papers), Epigenetics and DNA Methylation (5 papers), Cell Adhesion Molecules Research (4 papers), Hippo pathway signaling and YAP/TAZ (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Cancer-related gene regulation (4 papers) and Cancer Research and Treatments (3 papers). The work is most often cited by research in Immunology and Allergy (85 citations), Cancer Research (182 citations), Oncology (304 citations), Molecular Biology (382 citations) and Cell Biology (69 citations). Zhaoting Yang has collaborated with scholars based in China, South Korea and United Kingdom. Frequent co-authors include Yanhua Xuan, Yan Cui, Weidong Ni, Chengye Zhang, Wenbo Qi, Longyun Fang, Ying Feng, Longzhen Piao, Nan Che and Seok‐Hyung Kim. Their work appears in journals such as Experimental and Molecular Pathology, Human Pathology, American Journal Of Pathology, Experimental Cell Research and Journal of Tissue Engineering.

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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