Jun Kadono

470 citations
40 papers · 359 · h-index 11

Impact in

  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver Disease and Transplantation
    • Liver physiology and pathology
  • Surgery top 10%
    • Organ Transplantation Techniques and Outcomes
    • Cholangiocarcinoma and Gallbladder Cancer Studies
    • Abdominal vascular conditions and treatments

Papers in

    • Hepatocellular Carcinoma Treatment and Prognosis 7
    • Liver physiology and pathology 4
    • Organ Transplantation Techniques and Outcomes 6
    • Cholangiocarcinoma and Gallbladder Cancer Studies 4
    • Infectious Aortic and Vascular Conditions 2

Jun Kadono

34 papers receiving 336 citations

Peers

Jun Kadono
Comparison fields: 5 of 27
  • Hepatology 92
  • Surgery 216
  • Gastroenterology 30
  • Microbiology 2
  • Biological Psychiatry 2
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Jun Kadono relative to Yasuhiko Kojima Japan Yasuhiko Kojima's profile →
Citations per field
00.5×2×4×6×7.7×
Yasuhiko Kojima · 1×
Citations per year

Countries citing papers authored by Jun Kadono

Since Specialization
Citations

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

Fields of papers citing papers by Jun Kadono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200653
2 200538
3 199831
4 200525
5 200522
6 200622
7 200021
8 201619
9 200416
10 201715
11 201812
12 201911
13 20189
14 20037
15 20067
16 20197
17 20025
18 20165
19 20195
20 20134

About Jun Kadono

Jun Kadono is a scholar working on Hepatology, Surgery, Oncology, Gastroenterology and Pulmonary and Respiratory Medicine, having authored 40 papers that have together received 359 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Organ Transplantation Techniques and Outcomes (6 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers), Liver physiology and pathology (4 papers), Gallbladder and Bile Duct Disorders (4 papers), Pancreatic and Hepatic Oncology Research (3 papers), Colorectal Cancer Surgical Treatments (2 papers) and Infectious Aortic and Vascular Conditions (2 papers). The work is most often cited by research in Hepatology (92 citations), Surgery (216 citations), Gastroenterology (30 citations), Microbiology (2 citations) and Biological Psychiatry (2 citations). Jun Kadono has collaborated with scholars based in Japan and United States. Frequent co-authors include Seigo Nishida, Nobuo Hamada, Noboru Nakamura, Ryuzo Sakata, Teruo Komokata, Andreas G. Tzakis, Juan R. Madariaga, Yutaka Imoto, Naoki Ishizaki and Akira Taira. Their work appears in journals such as Journal of Hepato-Biliary-Pancreatic Surgery, Journal of Gastroenterology, Surgery Today, The American Journal of Surgery and Journal of Cancer.

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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