Koji Arihiro

25.6k total citations · 1 hit paper
350 papers, 6.7k citations indexed

About

Koji Arihiro is a scholar working on Oncology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Koji Arihiro has authored 350 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 122 papers in Oncology, 117 papers in Surgery and 114 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Koji Arihiro's work include Gastric Cancer Management and Outcomes (50 papers), Metastasis and carcinoma case studies (32 papers) and Gastrointestinal Tumor Research and Treatment (27 papers). Koji Arihiro is often cited by papers focused on Gastric Cancer Management and Outcomes (50 papers), Metastasis and carcinoma case studies (32 papers) and Gastrointestinal Tumor Research and Treatment (27 papers). Koji Arihiro collaborates with scholars based in Japan, United States and Switzerland. Koji Arihiro's co-authors include Kazuaki Chayama, Kazuaki Tanabe, Shinji Tanaka, Ryungsa Kim, Manabu Emi, Shiro Oka, Kouki Inai, Hideki Ohdan, Hideyuki Hyogo and Tomokazu Ishitobi and has published in prestigious journals such as Circulation, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Koji Arihiro

319 papers receiving 6.5k citations

Hit Papers

Deep Learning Models for Histopathological Classification... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers

Koji Arihiro
Comparison fields: 5 of 146
  • Oncology 2.1k
  • Pulmonary and Respiratory Medicine 1.8k
  • Surgery 1.5k
  • Molecular Biology 1.2k
  • Epidemiology 1.0k
Replace Vinod P. Balachandran with:
Vinod P. Balachandran United States
Bin Li China
Hideki Fujii Japan
Kay Washington United States
Michelangelo Fiorentino Italy
Marco Novelli United Kingdom
Gaetano De Rosa Italy
Alexander Marx Germany
Sang Joon Shin South Korea
Puneeth Iyengar United States
Vinod P. Balachandran United States View profile →
Citations per field, relative to Koji Arihiro
Koji Arihiro · 1×
Citations per year, relative to Koji Arihiro
Koji Arihiro · 1×

Countries citing papers authored by Koji Arihiro

Since Specialization
Citations

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

Fields of papers citing papers by Koji Arihiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koji Arihiro

This figure shows the co-authorship network connecting the top 25 collaborators of Koji Arihiro. A scholar is included among the top collaborators of Koji Arihiro based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Koji Arihiro. Koji Arihiro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 7
3 0
4 0
5 1
6 3
7 2
8 1
9 0
10 13
11 13
12 8
13 29
14 8
15 18
16 4
17 88
18 13
19
TIMP-1 c.T372C Genetic Polymorphism as a Possible Predictor for Acute Aortic Dissection
1
20 123

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026