Chong Yang

1.7k citations
64 papers · 1.3k · h-index 19

Impact in

  • Biochemistry top 10%
    • Phytochemicals and Antioxidant Activities
  • Oncology top 10%
    • Pancreatic and Hepatic Oncology Research
    • Cancer Immunotherapy and Biomarkers

Papers in

Chong Yang

62 papers receiving 1.2k citations

Peers

Chong Yang
Comparison fields: 5 of 113
  • Biochemistry 67
  • Oncology 257
  • Cancer Research 137
  • Pathology and Forensic Medicine 88
  • Immunology 106
Replace Bihong Zhao with:
Bihong Zhao United States
Toshiyuki Yamada Japan
Kan Chen China
Haissam Abou-Saleh Qatar
Mingming Wang China
Kazuki Orita Japan
Maysoon T. Al-Haideri Iraq
Fangfang Liu China
Yang Tan China
Ran Cui China
Chong Yang relative to Bihong Zhao United States Bihong Zhao's profile →
Citations per field
00.5×1.5×2×
Bihong Zhao · 1×
Citations per year

Countries citing papers authored by Chong Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chong Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018165
2 2016102
3 200397
4 201788
5 201860
6 202349
7 201741
8 202140
9 201639
10 201536
11
USP44 suppresses pancreatic cancer progression and overcomes gemcitabine resistance by deubiquitinating FBP1.
201936
12 201435
13 201528
14 201927
15 202123
16 201620
17 201920
18 202420
19 202019
20 202317

About Chong Yang

Chong Yang is a scholar working on Cancer Research, Pathology and Forensic Medicine, Oncology, Surgery and Molecular Biology, having authored 64 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pancreatitis Pathology and Treatment (8 papers), Parasitic infections in humans and animals (8 papers), Pancreatic and Hepatic Oncology Research (7 papers), Cancer-related molecular mechanisms research (5 papers), Congenital Anomalies and Fetal Surgery (4 papers), RNA modifications and cancer (3 papers), Ubiquitin and proteasome pathways (3 papers) and Amoebic Infections and Treatments (3 papers). The work is most often cited by research in Biochemistry (67 citations), Oncology (257 citations), Cancer Research (137 citations), Pathology and Forensic Medicine (88 citations) and Immunology (106 citations). Chong Yang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Heshui Wu, Xin Jin, Ping Fan, Wenke Cheng, Zhen Zhang, Weijun Liu, Shikai Zhu, Hongji Yang, Chao Lian Xie and Yueming Jiang. Their work appears in journals such as PLoS ONE, Journal of the American College of Surgeons, Cell Death and Disease, Pancreas and Medicine.

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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