Yang Chong

737 citations
25 papers · 505 · h-index 12

Impact in

    • Galectins and Cancer Biology
    • Pancreatic and Hepatic Oncology Research
    • Cancer Cells and Metastasis
    • Peptidase Inhibition and Analysis

Papers in

    • Signaling Pathways in Disease 2
    • Wnt/β-catenin signaling in development and cancer 2
    • RNA Research and Splicing 2
    • Galectins and Cancer Biology 8

Yang Chong

20 papers receiving 500 citations

Peers

Yang Chong
Comparison fields: 5 of 80
  • Immunology 197
  • Oncology 202
  • Cancer Research 110
  • Drug Discovery 1
  • Molecular Biology 260
Replace Benjamin V. Park with:
Benjamin V. Park United States
María Maqueda Spain
Yanjie You China
Hecheng Zhu China
Qinyu Ma China
Jun Deng China
Myung Won Seo South Korea
Maria A. Voronkova United States
Mary Topalovski United States
Anne Steins Netherlands
Yang Chong relative to Benjamin V. Park United States Benjamin V. Park's profile →
Citations per field
00.5×1.5×
Benjamin V. Park · 1×
Citations per year

Countries citing papers authored by Yang Chong

Since Specialization
Citations

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

Fields of papers citing papers by Yang Chong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015111
2 201557
3 201652
4 201649
5 201741
6 201837
7 201727
8 202325
9 201619
10 201619
11 202017
12 201817
13 202410
14 202110
15 20226
16 20243
17 20242
18 20251
19 20251
20 20251

About Yang Chong

Yang Chong is a scholar working on Molecular Biology, Immunology, Oncology, Surgery and Rehabilitation, having authored 25 papers that have together received 505 indexed citations. Recurring topics across this work include Galectins and Cancer Biology (8 papers), Wound Healing and Treatments (4 papers), Gastric Cancer Management and Outcomes (3 papers), Signaling Pathways in Disease (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Cell Adhesion Molecules Research (2 papers), RNA Research and Splicing (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Immunology (197 citations), Oncology (202 citations), Cancer Research (110 citations), Drug Discovery (1 citation) and Molecular Biology (260 citations). Yang Chong has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Daorong Wang, Dong Tang, Sen Wang, Jie Wang, Jun Gao, Wei Yin, Nianyuan Ye, Bin Li, Yu Dong and Zhongxu Yuan. Their work appears in journals such as Tumor Biology, Oncotarget, Frontiers in Pharmacology, Journal of Cellular Biochemistry and Aging.

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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