Junhui Fu

552 citations
27 papers · 248 · h-index 9

Impact in

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

Papers in

    • Esophageal Cancer Research and Treatment 8
    • Esophageal and GI Pathology 3
    • Metabolism, Diabetes, and Cancer 2

Junhui Fu

25 papers receiving 245 citations

Peers

Junhui Fu
Comparison fields: 5 of 47
  • Cancer Research 89
  • Hepatology 42
  • Genetics 26
  • Surgery 92
  • Molecular Biology 126
Replace Yibo Cai with:
Yibo Cai China
Liguang Yang China
Vanessa Rüsseler Germany
Viktoria Kalna United Kingdom
Hideo Tomihara Japan
Mengxian Tu China
Miho Okano Japan
Hairong Zhu China
Ji‐Hye Oh South Korea
Mai M. Lotfy Egypt
Junhui Fu relative to Yibo Cai China Yibo Cai's profile →
Citations per field
00.5×2.6×
Yibo Cai · 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 201345
3 201429
4 201821
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 20228
10 20218
11 20205
12 20154
13 20204
14 20224
15 20092
16 20112
17 20222
18 20241
19 20241
20 20241

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 248 indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (8 papers), Gastric Cancer Management and Outcomes (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Lung Cancer Diagnosis and Treatment (3 papers), Esophageal and GI Pathology (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Metabolism, Diabetes, and Cancer (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Cancer Research (89 citations), Hepatology (42 citations), Genetics (26 citations), Surgery (92 citations) and Molecular Biology (126 citations). Junhui Fu has collaborated with scholars based in China, Taiwan and Hong Kong. Frequent co-authors include Chunlei Dai, Zhongxian Yang, Qiyu Zhang, Ganfeng Luo, Yanting Zhang, Ke Li, Fuxiang Yu, Li Wang, Yang Wang and Li Wan. Their work appears in journals such as PLoS ONE, Scientific Reports, BMJ Open, PeerJ and The Annals of Thoracic Surgery.

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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