Jun Muto

2.5k citations
91 papers · 1.9k · h-index 24

Impact in

  • Hepatology top 2%
    • Hepatocellular Carcinoma Treatment and Prognosis
  • Oncology top 5%
    • Inflammatory Biomarkers in Disease Prognosis

Papers in

    • Head and Neck Surgical Oncology 6
    • Hernia repair and management 3
    • Meningioma and schwannoma management 11

Jun Muto

79 papers receiving 1.9k citations

Peers

Jun Muto
Comparison fields: 5 of 92
  • Hepatology 323
  • Oncology 425
  • Internal Medicine 49
  • Cancer Research 166
  • Epidemiology 322
Replace Emmanuel Chorianopoulos with:
Emmanuel Chorianopoulos Germany
Shijie Xin China
Michel Mazmanian France
David Manka United States
Koichi Aiura Japan
Tadahiro Sasajima Japan
Kazuma Iekushi Japan
Thomas E. Palmer United States
Masaharu Okada Japan
Alexander Schmeißer Germany
Jun Muto relative to Emmanuel Chorianopoulos Germany Emmanuel Chorianopoulos's profile →
Citations per field
00.5×5.1×
Emmanuel Chorianopoulos · 1×
Citations per year

Countries citing papers authored by Jun Muto

Since Specialization
Citations

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

Fields of papers citing papers by Jun Muto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012373
2 2011142
3 2014111
4 201395
5 201478
6 201275
7 201274
8 201354
9
The apelin-APJ system induces tumor arteriogenesis in hepatocellular carcinoma.
201454
10 201153
11 201053
12 201743
13 201642
14 201137
15 201037
16 201834
17 201633
18 201231
19 201930
20 201327

About Jun Muto

Jun Muto is a scholar working on Surgery, Epidemiology, Pulmonary and Respiratory Medicine, Genetics and Neurology, having authored 91 papers that have together received 1.9k indexed citations. Recurring topics across this work include Meningioma and schwannoma management (11 papers), Glioma Diagnosis and Treatment (11 papers), Head and Neck Surgical Oncology (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Lung Cancer Diagnosis and Treatment (4 papers), Hernia repair and management (3 papers), Tracheal and airway disorders (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Hepatology (323 citations), Oncology (425 citations), Internal Medicine (49 citations), Cancer Research (166 citations) and Epidemiology (322 citations). Jun Muto has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Ken Shirabe, Yoshihiko Maehara, Tomoharu Yoshizumi, Takashi Motomura, Yohei Mano, Toru Ikegami, Takeo Toshima, Yuji Soejima, Hideaki Uchiyama and Takasuke Fukuhara. Their work appears in journals such as World Neurosurgery, Acta Neurochirurgica, Neurospine, Neurosurgical FOCUS and Hepatology Research.

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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