Mamoru Kodani

1.3k citations
6 papers · 820 indexed · 1 hit paper · h-index 5
Topics
Cancer Immunotherapy and Biomarkers (4 papers)Esophageal Cancer Research and Treatment (4 papers)Pancreatic and Hepatic Oncology Research (2 papers)
Partner nations
JapanDenmarkSouth Korea

In The Last Decade

Mamoru Kodani

6 papers receiving 809 citations

Hit Papers

Nivolumab versus chemotherapy in patients with advanced o...20192026202120232019250500750

Peers

Mamoru Kodani
Comparison fields: 5 of 63
  • Oncology 571
  • Surgery 546
  • Pulmonary and Respiratory Medicine 400
  • Immunology 90
  • Molecular Biology 75
Replace Yuta Kasagi with:
Yuta Kasagi Japan
Yukihiro Satoh Japan
Yanwu Sun China
Thilo Sprenger Germany
Ryo Yoriki Japan
Yuichiro Ohigashi Japan
Sabrina Thieltges Germany
Takashi Ichimura Japan
S D'Emidio Italy
Daniel J. Boffa United States
Mamoru Kodani relative to Yuta Kasagi Japan Yuta Kasagi's profile →
Citations per field
00.5×3.9×
Yuta Kasagi · 1×
Citations per year

Countries citing papers authored by Mamoru Kodani

Since Specialization
Citations

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

Fields of papers citing papers by Mamoru Kodani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mamoru Kodani

This figure shows the co-authorship network connecting the top 25 collaborators of Mamoru Kodani. A scholar is included among the top collaborators of Mamoru Kodani 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 Mamoru Kodani. Mamoru Kodani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1
Nivolumab versus Chemotherapy in Advanced Esophageal Squamous Cell Carcinoma (ESCC): The Phase 3 attraction-3 Study
1
2 32
3
Nivolumab versus chemotherapy in patients with advanced oesophageal squamous cell carcinoma refractory or intolerant to previous chemotherapy (ATTRACTION-3): a multicentre, randomised, open-label, phase 3 trialbreakdown →
751
4 12
5 13
6 11

About Mamoru Kodani

Mamoru Kodani is a scholar working on Immunology and Allergy, Oncology and Surgery, having authored 6 papers that have together received 820 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (4 papers), Esophageal Cancer Research and Treatment (4 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Oncology (571 citations), Surgery (546 citations) and Pulmonary and Respiratory Medicine (400 citations). Mamoru Kodani has collaborated with scholars based in Japan, Denmark and South Korea. Frequent co-authors include Morihito Okada, Yutaro Kubota, Yuko Kitagawa, Yasuo Hamamoto, Shigenori Kadowaki, Masanobu Takahashi, Keisho Chìn, Yuichiro� Doki, Ken Kato and Myung‐Ju Ahn. Their work appears in journals such as The Lancet Oncology, Annals of Oncology and European Journal of Pharmacology.

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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