Koji Irie

47 papers receiving 746 citations

Peers

Koji Irie
Comparison fields: 5 of 91
  • Hepatology 153
  • Pulmonary and Respiratory Medicine 215
  • Oncology 176
  • Cancer Research 90
  • Genetics 52
Replace Michael Doukas with:
Michael Doukas Netherlands
Yutaka Horie Japan
John R. Neefe United States
Tsukasa Aihara Japan
Nae Choon Yoo South Korea
Robert Debernardo United States
Eduardo Egea Colombia
Jun Lei China
T Ohnoshi Japan
Neru Munshi United States
Koji Irie relative to Michael Doukas Netherlands Michael Doukas's profile →
Citations per field
00.5×1.5×1.9×
Michael Doukas · 1×
Citations per year

Countries citing papers authored by Koji Irie

Since Specialization
Citations

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

Fields of papers citing papers by Koji Irie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199788
2 200564
3 200656
4 200345
5 200441
6 200338
7 199537
8 198836
9
Comparison of the clinical characteristics among hepatocellular carcinoma of hepatitis B, hepatitis C and non-B non-C patients.
200431
10 200126
11 200125
12 200924
13 200224
14 199120
15 200119
16 201319
17 200618
18
Trends in clinical characteristics, treatment and prognosis of hepatocellular carcinoma.
200415
19 200213
20 201813

About Koji Irie

Koji Irie is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Oncology, Epidemiology and Hepatology, having authored 54 papers that have together received 774 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Sarcoma Diagnosis and Treatment (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Cardiac tumors and thrombi (4 papers), Lymphoma Diagnosis and Treatment (4 papers), Cancer-related Molecular Pathways (4 papers), Liver Disease and Transplantation (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Hepatology (153 citations), Pulmonary and Respiratory Medicine (215 citations), Oncology (176 citations), Cancer Research (90 citations) and Genetics (52 citations). Koji Irie has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Kazufumi Dohmen, Hiromi Ishibashi, Hirohisa Shigematsu, Osamu Tokunaga, Hironori Ishida, Tsuyoshi Itoh, T Furukawa, Yoshihiro Kakeji, Masaki Tominaga and Shinichiro Hayashi. Their work appears in journals such as Cancer, Pathology International, Neurologia medico-chirurgica, Journal of Gastroenterology and Hepatology and Histopathology.

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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