Akeri Mitsuda

741 citations
8 papers · 257 · h-index 5

Impact in

  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver Disease and Transplantation
    • Liver physiology and pathology
    • Hepatitis C virus research
    • Liver Disease Diagnosis and Treatment
    • Hepatitis B Virus Studies

Papers in

    • Hepatocellular Carcinoma Treatment and Prognosis 6
    • Hepatitis C virus research 2
    • Cholangiocarcinoma and Gallbladder Cancer Studies 3

Akeri Mitsuda

7 papers receiving 254 citations

Peers

Akeri Mitsuda
Comparison fields: 5 of 37
  • Hepatology 226
  • Epidemiology 140
  • Pathology and Forensic Medicine 30
  • Cell Biology 20
  • Cancer Research 17
Replace Jiali Chen with:
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Akeri Mitsuda relative to Jiali Chen China Jiali Chen's profile →
Citations per field
00.5×2.7×
Jiali Chen · 1×
Citations per year

Countries citing papers authored by Akeri Mitsuda

Since Specialization
Citations

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

Fields of papers citing papers by Akeri Mitsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2001112
2 2000100
3 200025
4 20008
5 19967
6 20193
7 20222
8
[A case of inoperable advanced bile duct cancer treated effectively with combined chemotherapy of gemcitabine and S-1].
20130

About Akeri Mitsuda

Akeri Mitsuda is a scholar working on Hepatology, Surgery, Epidemiology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 8 papers that have together received 257 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Liver Disease Diagnosis and Treatment (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Hepatitis C virus research (2 papers), Lymphoma Diagnosis and Treatment (1 paper), Systemic Lupus Erythematosus Research (1 paper), Biliary and Gastrointestinal Fistulas (1 paper) and Medical Imaging and Pathology Studies (1 paper). The work is most often cited by research in Hepatology (226 citations), Epidemiology (140 citations), Pathology and Forensic Medicine (30 citations), Cell Biology (20 citations) and Cancer Research (17 citations). Akeri Mitsuda has collaborated with scholars based in Japan and Greece. Frequent co-authors include Takeaki Suou, Yoshikazu Murawaki, Hironaka Kawasaki, Yutaka Horie, Masahiko Koda, Kinya Okamoto, Kenji Oyama, Kenji Ohyama, Hironaka Kawasaki and Shiro Ikawa. Their work appears in journals such as Cancer, Journal of Clinical Oncology, Journal of Hepatology, Internal Medicine and JGH Open.

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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