Jun Kiuchi

1.1k citations
69 papers · 859 · h-index 15

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer Genomics and Diagnostics
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

    • MicroRNA in disease regulation 14
    • Cancer-related molecular mechanisms research 4
    • Colorectal Cancer Surgical Treatments 11

Jun Kiuchi

56 papers receiving 851 citations

Peers

Jun Kiuchi
Comparison fields: 5 of 71
  • Cancer Research 362
  • Hepatology 50
  • Molecular Biology 410
  • Oncology 134
  • Pulmonary and Respiratory Medicine 132
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Lehang Lin China
Taisuke Imamura Japan
Wataru Okajima Japan
Haosheng Jin China
Xinhui Liu China
Shuai Xiao China
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Weiding Wu China
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Citations per field
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Citations per year

Countries citing papers authored by Jun Kiuchi

Since Specialization
Citations

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

Fields of papers citing papers by Jun Kiuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201786
2 201674
3 201667
4 201659
5 201756
6 201645
7
Circulating miR-21 as an independent predictive biomarker for chemoresistance in esophageal squamous cell carcinoma.
201644
8 201643
9 201739
10 201630
11 202025
12
Overexpression of YEATS4 contributes to malignant outcomes in gastric carcinoma.
201816
13 201916
14 202216
15 202115
16
Clinical impact of postoperative prognostic nutritional index in colorectal cancer patients undergoing adjuvant chemotherapy.
202114
17 201712
18 201712
19 201811
20 202110

About Jun Kiuchi

Jun Kiuchi is a scholar working on Cancer Research, Oncology, Pulmonary and Respiratory Medicine, Molecular Biology and Surgery, having authored 69 papers that have together received 859 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (14 papers), Circular RNAs in diseases (11 papers), Colorectal Cancer Surgical Treatments (11 papers), Gastric Cancer Management and Outcomes (8 papers), Colorectal and Anal Carcinomas (4 papers), Cancer-related molecular mechanisms research (4 papers), RNA modifications and cancer (4 papers) and Extracellular vesicles in disease (4 papers). The work is most often cited by research in Cancer Research (362 citations), Hepatology (50 citations), Molecular Biology (410 citations), Oncology (134 citations) and Pulmonary and Respiratory Medicine (132 citations). Jun Kiuchi has collaborated with scholars based in Japan and United States. Frequent co-authors include Eigo Otsuji, Hirotaka Konishi, Atsushi Shiozaki, Kazuma K. Okamoto, Shuhei Komatsu, Daisuke Ichikawa, Taisuke Imamura, Takuma Ohashi, Hitoshi Fujiwara and Wataru Okajima. Their work appears in journals such as Anticancer Research, Scientific Reports, Annals of Surgical Oncology, Oncotarget and Cancer Science.

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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