Zhaoting Yang

860 citations
28 papers · 660 · h-index 17

Impact in

Papers in

    • Cancer Cells and Metastasis 12
    • Hedgehog Signaling Pathway Studies 4
    • Cancer-related gene regulation 3
    • Epigenetics and DNA Methylation 3

Zhaoting Yang

26 papers receiving 657 citations

Peers

Zhaoting Yang
Comparison fields: 5 of 55
  • Immunology and Allergy 80
  • Cancer Research 148
  • Oncology 259
  • Molecular Biology 334
  • Immunology 78
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Miran Rada Canada
Carman Man-Chung Li United States
Nobuaki Akakura United States
Jacqueline E. Noll Australia
Biancastella Cereser United Kingdom
Virginie Lamour Belgium
Robert Seed United States
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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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201771
2 202058
3 201854
4 201650
5 201642
6 201737
7 201833
8 201826
9 201826
10 201924
11 201723
12 202022
13 202220
14 202020
15 201720
16 201917
17 201917
18 202016
19 202114
20
Gli1, a potential cancer stem cell marker, is strongly associated with prognosis in prostate cancer.
201814

About Zhaoting Yang

Zhaoting Yang is a scholar working on Oncology, Molecular Biology, Immunology and Allergy, Cell Biology and Cancer Research, having authored 28 papers that have together received 660 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (12 papers), Cell Adhesion Molecules Research (5 papers), Hedgehog Signaling Pathway Studies (4 papers), Cancer-related gene regulation (3 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Epigenetics and DNA Methylation (3 papers), Cancer Research and Treatments (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Immunology and Allergy (80 citations), Cancer Research (148 citations), Oncology (259 citations), Molecular Biology (334 citations) and Immunology (78 citations). Zhaoting Yang has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Yanhua Xuan, Yan Cui, Weidong Ni, Chengye Zhang, Chunai Cui, Wenbo Qi, Longyun Fang, Ying Feng, Longzhen Piao and Nan Che. Their work appears in journals such as Experimental and Molecular Pathology, Human Pathology, American Journal Of Pathology, Experimental Cell Research and Biochemical and Biophysical Research Communications.

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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