Koichi Azuma

641 total citations
5 papers, 12 citations indexed

About

Koichi Azuma is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Genetics. According to data from OpenAlex, Koichi Azuma has authored 5 papers receiving a total of 12 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pathology and Forensic Medicine, 2 papers in Molecular Biology and 2 papers in Genetics. Recurrent topics in Koichi Azuma's work include Cancer Immunotherapy and Biomarkers (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and RNA modifications and cancer (1 paper). Koichi Azuma is often cited by papers focused on Cancer Immunotherapy and Biomarkers (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and RNA modifications and cancer (1 paper). Koichi Azuma collaborates with scholars based in Japan and United States. Koichi Azuma's co-authors include Yoshiyasu Nakamura, Shinya Sato, Taiki Hakozaki, Isamu Okamoto, Yuka Igarashi, Junko Tanizaki, Shuji Murakami, Tetsuro Sasada, Yuta Sekino and Toshihide Yokoyama and has published in prestigious journals such as Frontiers in Immunology, Journal of Thoracic Oncology and JAMA Dermatology.

In The Last Decade

Koichi Azuma

3 papers receiving 12 citations

Peers

Koichi Azuma
Alejandro Acevedo United States
Esha Banerjee United States
Haibo Xu China
Nils Rouven Hansmeier Germany
Nancy Roche United States
Andrey Semenov Russia
Éva Somogyiné Ezer Hungary
Tifenn L’Haridon France
Haohui Fang China
Vinayak Bhandari Canada
Alejandro Acevedo United States
Koichi Azuma
Citations per year, relative to Koichi Azuma Koichi Azuma (= 1×) peers Alejandro Acevedo

Countries citing papers authored by Koichi Azuma

Since Specialization
Citations

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

Fields of papers citing papers by Koichi Azuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koichi Azuma

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

All Works

5 of 5 papers shown
1.
Wei, Feifei, Hiroyuki Takeda, Koichi Azuma, et al.. (2025). Machine learning–based insights into circulating autoantibody dynamics and treatment outcomes in patients with NSCLC receiving immune checkpoint inhibitors. Frontiers in Immunology. 16. 1666030–1666030.
2.
Hakozaki, Taiki, Kentaro Tanaka, Yoshimasa Shiraishi, et al.. (2025). Gut Microbiota in Advanced NSCLC Receiving Chemoimmunotherapy: An Ancillary Biomarker Study From the Phase III Trial JCOG2007 (NIPPON). Journal of Thoracic Oncology. 20(7). 912–927. 4 indexed citations
3.
Tsutsumi, Masahiro, et al.. (2025). Epitope Spreading in Immune Checkpoint Inhibitor–Associated Bullous Pemphigoid. JAMA Dermatology. 161(5). 557–557.
4.
Kasajima, Rika, Koichi Azuma, Tomoyuki Tagami, et al.. (2024). Multi-omics analysis-based clinical and functional significance of a novel prognostic and immunotherapeutic gene signature derived from amino acid metabolism pathways in lung adenocarcinoma. Frontiers in Immunology. 15. 1361992–1361992. 3 indexed citations
5.
Uemura, Takehiro, Hirotsugu Kenmotsu, Daisuke Hazama, et al.. (2023). Liquid biopsy detects genomic drivers in NSCLC without EGFR mutations by single‐plex testing: WJOG13620L. Cancer Medicine. 12(23). 21097–21110. 5 indexed citations

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

Breakdown of academic impact, for papers by Alejandro Acevedo Breakdown of academic impact, for papers by Esha Banerjee Breakdown of academic impact, for papers by Haibo Xu Breakdown of academic impact, for papers by Nils Rouven Hansmeier Breakdown of academic impact, for papers by Nancy Roche Breakdown of academic impact, for papers by Andrey Semenov Breakdown of academic impact, for papers by Éva Somogyiné Ezer Breakdown of academic impact, for papers by Tifenn L’Haridon Breakdown of academic impact, for papers by Haohui Fang Breakdown of academic impact, for papers by Vinayak Bhandari
Rankless by CCL
2026