Chun‐Kui Shao

3.1k citations
79 papers · 1.9k · h-index 28

Impact in

  • Oncology top 5%
    • Viral-associated cancers and disorders
    • Cancer Immunotherapy and Biomarkers
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

    • Viral-associated cancers and disorders 25
    • Epigenetics and DNA Methylation 4
    • Circular RNAs in diseases 4

Chun‐Kui Shao

74 papers receiving 1.9k citations

Peers

Chun‐Kui Shao
Comparison fields: 5 of 92
  • Oncology 747
  • Cancer Research 376
  • Hepatology 116
  • Immunology 291
  • Pathology and Forensic Medicine 203
Replace Michael Allgäuer with:
Michael Allgäuer Germany
In Hye Song South Korea
Emanuela Bonoldi Italy
Jinming Yu China
Hong Ge China
Iacopo Petrini Italy
Jie-Yi Shi China
Yvonne M. Saenger United States
Joe Yeong Singapore
Hirotaka Matsui Japan
Chun‐Kui Shao relative to Michael Allgäuer Germany Michael Allgäuer's profile →
Citations per field
00.5×1.5×1.8×
Michael Allgäuer · 1×
Citations per year

Countries citing papers authored by Chun‐Kui Shao

Since Specialization
Citations

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

Fields of papers citing papers by Chun‐Kui Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun‐Kui Shao. 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 Chun‐Kui Shao. The network helps show where Chun‐Kui Shao may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018124
2 2020124
3 202081
4 201281
5 202277
6 201276
7 201973
8 201667
9 201061
10 201459
11 201559
12 200357
13 201554
14 201748
15 202144
16 201241
17 201540
18 201539
19 201135
20 200233

About Chun‐Kui Shao

Chun‐Kui Shao is a scholar working on Oncology, Molecular Biology, Surgery, Pathology and Forensic Medicine and Cancer Research, having authored 79 papers that have together received 1.9k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (25 papers), Lymphoma Diagnosis and Treatment (12 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (9 papers), Cancer-related molecular mechanisms research (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Epigenetics and DNA Methylation (4 papers), Circular RNAs in diseases (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Oncology (747 citations), Cancer Research (376 citations), Hepatology (116 citations), Immunology (291 citations) and Pathology and Forensic Medicine (203 citations). Chun‐Kui Shao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jianning Chen, Dan He, Li‐ping Gong, Min Dong, Hong Du, Haigang Li, Ye Jiang, Yuhang Pan, Fang Tang and Y. X. Ding. Their work appears in journals such as PLoS ONE, Human Pathology, Oncotarget, Scientific Reports and Gastric Cancer.

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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