Kaijun Huang

736 citations
19 papers · 506 · 1 hit paper · h-index 7

Impact in

  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

Kaijun Huang

16 papers receiving 501 citations

Kaijun Huang's Hit Papers

YTHDF2 promotes the liver cancer stem cell phenotype and cancer metastasis by regulating OCT4 expression via m6A RNA methylation 2020 · 305 citations
3050+2+4Years since publication100200300

Peers

Kaijun Huang
Comparison fields: 5 of 46
  • Hepatology 98
  • Cancer Research 187
  • Molecular Biology 312
  • Oncology 50
  • Pulmonary and Respiratory Medicine 50
Replace Liye Tao with:
Liye Tao China
Renfeng Shan China
Yunshi Cai China
Wenli Sai China
Yorihide Okuda Japan
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Kaijun Huang relative to Liye Tao China Liye Tao's profile →
Citations per field
00.5×2×4×5.5×
Liye Tao · 1×
Citations per year

Countries citing papers authored by Kaijun Huang

Since Specialization
Citations

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

Fields of papers citing papers by Kaijun Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1
YTHDF2 promotes the liver cancer stem cell phenotype and cancer metastasis by regulating OCT4 expression via m6A RNA methylation
Hit paper breakdown →
2020305
2 201394
3 201532
4 202022
5 202111
6 202111
7 20258
8 20166
9 20204
10 20214
11 20253
12 20242
13 20241
14 20251
15 20171
16 20141
17 20180
18 20240
19 20160

About Kaijun Huang

Kaijun Huang is a scholar working on Surgery, Molecular Biology, Oncology, Epidemiology and Cancer Research, having authored 19 papers that have together received 506 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Transplantation: Methods and Outcomes (2 papers), MicroRNA in disease regulation (2 papers), RNA modifications and cancer (2 papers), Ferroptosis and cancer prognosis (1 paper), Cancer Genomics and Diagnostics (1 paper) and Bartonella species infections research (1 paper). The work is most often cited by research in Hepatology (98 citations), Cancer Research (187 citations), Molecular Biology (312 citations), Oncology (50 citations) and Pulmonary and Respiratory Medicine (50 citations). Kaijun Huang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Zixuan Zhou, Hongkai Zhuang, Chuanzhao Zhang, Shiye Ruan, Zuyi Ma, Fei Ji, Baohua Hou, Shanzhou� Huang, Xiaoshun He and Rong Wang. Their work appears in journals such as Frontiers in Molecular Biosciences, Life Sciences, Oncogene, Materials Today Bio and Pancreas.

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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