Daisuke Komura

21.7k total citations · 1 hit paper
63 papers, 1.5k citations indexed

About

Daisuke Komura is a scholar working on Artificial Intelligence, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Daisuke Komura has authored 63 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 18 papers in Molecular Biology and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Daisuke Komura's work include AI in cancer detection (15 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Digital Imaging for Blood Diseases (8 papers). Daisuke Komura is often cited by papers focused on AI in cancer detection (15 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Digital Imaging for Blood Diseases (8 papers). Daisuke Komura collaborates with scholars based in Japan, United States and United Kingdom. Daisuke Komura's co-authors include Shumpei Ishikawa, Shumpei Ishikawa, Hiroyuki Aburatani, Masashi Fukayama, Keith Jones, Hiroshi Nakamura, Tetsuo Ushiku, Akiko Kunita, Hiroto Katoh and Sigeo Ihara and has published in prestigious journals such as Journal of Clinical Oncology, Bioinformatics and Cancer Research.

In The Last Decade

Daisuke Komura

54 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Machine Learning Methods for Histopathological Image Analysis

2018 557 citations Daisuke Komura, Shumpei Ishikawa Computational and Structural Biotechnology Journal profile →

Peers

Countries citing papers authored by Daisuke Komura

Since Specialization

Citations

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

Fields of papers citing papers by Daisuke Komura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisuke Komura

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	A Transcriptomic Analysis of Cancer‐Stromal Interactome in Lung Cancer Xenograft Models 2025 ·Cancer Science ·(unknown), Daisuke Komura, Takayuki Isagawa, Yusuke Amano, (unknown), (unknown), Taichiro Yoshimoto, Hiroyoshi Tsubochi, (unknown), Koichi Hagiwara, Makoto Maemondo, Tetsuo Ushiku, Shumpei Ishikawa, Noriyoshi Fukushima, Kentaro Inamura, Daisuke Matsubara, Toshiro Niki	0
2	Medicine for artificial intelligence: applying a medical framework to AI anomalies 2025 ·Frontiers in Artificial Intelligence ·Takahiro Kato, Daisuke Komura, Binay Panda, Shumpei Ishikawa	1
3	Genetic Analysis of Intracranial Schwannomas: Differential NF2 Alteration Frequencies in Nonvestibular Schwannomas Versus Vestibular Schwannomas 2025 ·Neurosurgery ·(unknown), Satoru Miyawaki, Yu Teranishi, Daisuke Komura, (unknown), Masako Ikemura, Hiroki Hongo, (unknown), Shogo Dofuku, (unknown), Atsushi Okano, Hirokazu Takami, Hiroto Katoh, Masahiro Shin, Hirofumi Nakatomi, Shumpei Ishikawa, Tetsuo Ushiku, (unknown)	0
4	SegRep: Mask-Supervised Learning for Segment Representation in Pathology Images 2024 ·IEEE Access ·(unknown), Daisuke Komura, (unknown), Miwako Kakiuchi, Hiroto Katoh, Tetsuo Ushiku, (unknown)	1
5	Machine learning methods for histopathological image analysis: Updates in 2024 2024 ·Computational and Structural Biotechnology Journal ·Daisuke Komura, (unknown), Shumpei Ishikawa	11
6	High‐throughput system for the thermostability analysis of proteins 2024 ·Protein Science ·(unknown), (unknown), Makoto Nakakido, Daisuke Komura, Hiroto Katoh, Shumpei Ishikawa, Kouhei Tsumoto	1
7	Association of rare variants in RNF213 with severe progression of intracranial artery stenosis in quasi–moyamoya disease 2024 ·Journal of neurosurgery ·(unknown), Satoru Miyawaki, Hideaki Imai, Hiroki Hongo, (unknown), Masahiro Shimizu, Yu Sakai, Shotaro Ogawa, Satoshi Kiyofuji, Satoshi Koizumi, Daisuke Komura, Hiroto Katoh, Hideaki Ono, Hirofumi Nakatomi, Shumpei Ishikawa, (unknown)	2
8	Stomach encyclopedia: Combined single-cell and spatial transcriptomics reveal cell diversity and homeostatic regulation of human stomach 2023 ·Cell Reports ·(unknown), Daisuke Komura, Miwako Kakiuchi, Hiroto Katoh, Takumi Onoyama, (unknown), Hiroyuki Abé, Yasuyuki Seto, Tetsuo Ushiku, Shumpei Ishikawa	21
9	RNF213 p.Arg4810Lys Wild Type is Associated with De Novo Hemorrhage in Asymptomatic Hemispheres with Moyamoya Disease 2023 ·Translational Stroke Research ·(unknown), Satoru Miyawaki, Hideaki Imai, Hiroki Hongo, (unknown), Masahiro Shimizu, Hideaki Ono, Yuki Shinya, Daisuke Sato, (unknown), (unknown), Satoshi Kiyofuji, (unknown), Satoshi Koizumi, Daisuke Komura, Hiroto Katoh, Shumpei Ishikawa, Hirofumi Nakatomi, Akira Teraoka, Nobuhito Saito	6
10	Restaining-based annotation for cancer histology segmentation to overcome annotation-related limitations among pathologists 2023 ·Patterns ·Daisuke Komura, Takumi Onoyama, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Hiroto Katoh, Tohru Ikeda, Tetsuo Ushiku, Shumpei Ishikawa	17
11	Functional genomics screening identifies aspartyl‐tRNA synthetase as a novel prognostic marker and a therapeutic target for gastric cancers 2022 ·The Journal of Pathology ·Bin Liu, Hiroto Katoh, Daisuke Komura, (unknown), (unknown), Takumi Onoyama, Hiroyuki Abé, Tetsuo Ushiku, Yasuyuki Seto, Jian Suo, Shumpei Ishikawa	4
12	Immune repertoire profiling for disease pathobiology 2022 ·Pathology International ·Hiroto Katoh, Daisuke Komura, (unknown), Shumpei Ishikawa	5
13	Viola: a structural variant signature extractor with user-defined classifications 2021 ·Bioinformatics ·(unknown), (unknown), (unknown), Daisuke Komura, Shumpei Ishikawa	4
14	Multi-tumor analysis of cancer-stroma interactomes of patient-derived xenografts unveils the unique homeostatic process in renal cell carcinomas 2021 ·iScience ·(unknown), Daisuke Komura, Hiroto Katoh, (unknown), Takumi Onoyama, (unknown), Takayuki Isagawa, Mariko Tanaka, Hiroshi Suemizu, Masato Nakamura, Yohei Miyagi, Hiroyuki Aburatani, Shumpei Ishikawa	4
15	Focal adhesion ribonucleoprotein complex proteins are major humoral cancer antigens and targets in autoimmune diseases 2020 ·Communications Biology ·Shinichiro Atsumi, Hiroto Katoh, Daisuke Komura, ITARU HASHIMOTO, (unknown), (unknown), Hiroki Konishi, Ryôhei Suzuki, (unknown), (unknown), Hiroyuki Abé, Yasushi Rino, Takashi Oshima, Tetsuo Ushiku, Masashi Fukayama, Yasuyuki Seto, Shumpei Ishikawa	5
16	Novel targets identified by integrated cancer-stromal interactome analysis of pancreatic adenocarcinoma 2019 ·Cancer Letters ·Yukihiko Hiroshima, Rika Kasajima, Yayoi Kimura, Daisuke Komura, Shumpei Ishikawa, Yasushi Ichikawa, Michael Bouvet, Naoto Yamamoto, Takashi Oshima, Soichiro Morinaga, Shree Ram Singh, Robert M. Hoffman, Itaru Endo, Yohei Miyagi	18
17	Capturing the differences between humoral immunity in the normal and tumor environments from repertoire-seq of B-cell receptors using supervised machine learning 2019 ·BMC Bioinformatics ·Hiroki Konishi, Daisuke Komura, Hiroto Katoh, Shinichiro Atsumi, (unknown), (unknown), Yasuyuki Seto, Masashi Fukayama, Rui Yamaguchi, Seiya Imoto, Shumpei Ishikawa	19
18	Machine Learning Methods for Histopathological Image Analysis breakdown → 2018 ·Computational and Structural Biotechnology Journal ·Daisuke Komura, Shumpei Ishikawa	557
19	HER2 Heterogeneity Is Associated with Poor Survival in HER2-Positive Breast Cancer 2018 ·International Journal of Molecular Sciences ·Mari Hosonaga, Yoshimi Arima, Oltea Sampetrean, Daisuke Komura, Ikuko Koya, Takashi Sasaki, Eiichi Sato, Hideyuki Okano, Jun Kudoh, Shumpei Ishikawa, Hideyuki Saya, Takashi Ishikawa	26
20	Genome-wide detection of human copy number variations using high-density DNA oligonucleotide arrays 2006 ·Genome Research ·Daisuke Komura, Fan Shen, Shumpei Ishikawa, Karen Fitch, Wei‐Wen Chen, Jane Zhang, Guoying Liu, Sigeo Ihara, Hiroshi Nakamura, Matthew E. Hurles, Charles Lee, Stephen W. Scherer, Keith Jones, Michael H. Shapero, Jing Huang, Hiroyuki Aburatani	145

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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