Junhui Fu

576 citations
27 papers · 256 · h-index 9

Impact in

    • Liver physiology and pathology
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Esophageal Cancer Research and Treatment 8
    • Esophageal and GI Pathology 3
    • Lymphatic Disorders and Treatments 1
    • Circular RNAs in diseases 2

Junhui Fu

25 papers receiving 252 citations

Peers

Junhui Fu
Comparison fields: 5 of 43
  • Hepatology 37
  • Cancer Research 71
  • Genetics 23
  • Surgery 79
  • Molecular Biology 110
Replace Michele Ly with:
Michele Ly United States
Masato Kojima Japan
Yutaro Mihara Japan
Yang Cheng China
Panagiotis Papoutsoglou France
Mengxian Tu China
Yibo Cai China
Nicolas Whenham Belgium
Junhui Fu relative to Michele Ly United States Michele Ly's profile →
Citations per field
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Michele Ly · 1×
Citations per year

Countries citing papers authored by Junhui Fu

Since Specialization
Citations

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

Fields of papers citing papers by Junhui Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202057
2 201346
3 201429
4 201822
5 201413
6
AK001058 promotes the proliferation and migration of colorectal cancer cells by regulating methylation of ADAMTS12.
201913
7 201712
8
Long non-coding RNA AK001058 regulates tumor growth and angiogenesis in colorectal cancer via methylation of ADAMTS12.
201911
9 202210
10 20218
11 20205
12 20204
13 20154
14 20224
15 20243
16 20242
17 20222
18 20242
19 20092
20 20112

About Junhui Fu

Junhui Fu is a scholar working on Surgery, Molecular Biology, Pulmonary and Respiratory Medicine, Oncology and Cancer Research, having authored 27 papers that have together received 256 indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (8 papers), Esophageal and GI Pathology (3 papers), Liver physiology and pathology (2 papers), Circular RNAs in diseases (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Gastric Cancer Management and Outcomes (2 papers), Genetics and Neurodevelopmental Disorders (1 paper) and Lymphatic Disorders and Treatments (1 paper). The work is most often cited by research in Hepatology (37 citations), Cancer Research (71 citations), Genetics (23 citations), Surgery (79 citations) and Molecular Biology (110 citations). Junhui Fu has collaborated with scholars based in China, Hong Kong and Taiwan. Frequent co-authors include Zhongxian Yang, Qiyu Zhang, Fuxiang Yu, Ke Li, Li Wang, Ganfeng Luo, Chunlei Dai, Yanting Zhang, Li Wan and Yang Wang. Their work appears in journals such as Frontiers in Genetics, Biochemical and Biophysical Research Communications, Acta Histochemica, PeerJ and Frontiers in Oncology.

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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