Mitsuhiro Komura

14.2k total citations
9 papers, 208 citations indexed

About

Mitsuhiro Komura is a scholar working on Oncology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Mitsuhiro Komura has authored 9 papers receiving a total of 208 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 5 papers in Cancer Research and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Mitsuhiro Komura's work include Cancer Genomics and Diagnostics (5 papers), Genetic factors in colorectal cancer (4 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Mitsuhiro Komura is often cited by papers focused on Cancer Genomics and Diagnostics (5 papers), Genetic factors in colorectal cancer (4 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Mitsuhiro Komura collaborates with scholars based in Japan, United States and South Korea. Mitsuhiro Komura's co-authors include Rui Yamaguchi, Seiya Imoto, Satoru Miyano, Yoshiro Tahara, Akira Asai, Yoshihiro Miyahara, Daisuke Muraoka, Naohiro Seo, Kazunari Akiyoshi and Isao Tawara and has published in prestigious journals such as Journal of Clinical Investigation, Scientific Reports and BMC Genomics.

In The Last Decade

Mitsuhiro Komura

9 papers receiving 206 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mitsuhiro Komura Japan	7	119	91	66	40	34	9	208
Yunbo He China	4	152 1.3×	108 1.2×	105 1.6×	17 0.4×	51 1.5×	9	284
Esther Schoutrop Sweden	7	114 1.0×	170 1.9×	69 1.0×	14 0.3×	37 1.1×	8	274
Shon Green United States	5	60 0.5×	136 1.5×	76 1.2×	18 0.5×	25 0.7×	7	184
Ian Lai United States	6	85 0.7×	84 0.9×	165 2.5×	13 0.3×	73 2.1×	9	260
Roman Maresch Germany	2	90 0.8×	137 1.5×	50 0.8×	63 1.6×	11 0.3×	2	195
Myriam Fernández-Sendin Spain	9	139 1.2×	121 1.3×	69 1.0×	12 0.3×	13 0.4×	19	237
J.T. Greene United States	6	66 0.6×	93 1.0×	67 1.0×	20 0.5×	13 0.4×	11	169
Andrew Baessler United States	5	151 1.3×	147 1.6×	67 1.0×	11 0.3×	21 0.6×	6	267
Angelo L. Grauel United States	3	84 0.7×	158 1.7×	81 1.2×	13 0.3×	44 1.3×	4	218
Stefano Vergani United States	9	125 1.1×	38 0.4×	59 0.9×	32 0.8×	17 0.5×	19	202

Countries citing papers authored by Mitsuhiro Komura

Since Specialization

Citations

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

Fields of papers citing papers by Mitsuhiro Komura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsuhiro Komura

This figure shows the co-authorship network connecting the top 25 collaborators of Mitsuhiro Komura. A scholar is included among the top collaborators of Mitsuhiro 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 Mitsuhiro Komura. Mitsuhiro 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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9 of 9 papers shown

Mizuno, Shinichi, Rui Yamaguchi, Takanori Hasegawa, et al.. (2021). Immunogenomic pan-cancer landscape reveals immune escape mechanisms and immunoediting histories. Scientific Reports. 11(1). 15713–15713. 10 indexed citations

Hayashi, Shuto, Rui Yamaguchi, Shinichi Mizuno, et al.. (2019). ALPHLARD-NT: Bayesian Method for Human Leukocyte Antigen Genotyping and Mutation Calling through Simultaneous Analysis of Normal and Tumor Whole-Genome Sequence Data. Journal of Computational Biology. 26(9). 923–937. 6 indexed citations

Yamaguchi, Kiyoshi, Eigo Shimizu, Rui Yamaguchi, et al.. (2019). Development of an MSI-positive colon tumor with aberrant DNA methylation in a PPAP patient. Journal of Human Genetics. 64(8). 729–740. 7 indexed citations

Muraoka, Daisuke, Naohiro Seo, Tae Hayashi, et al.. (2019). Antigen delivery targeted to tumor-associated macrophages overcomes tumor immune resistance. Journal of Clinical Investigation. 129(3). 1278–1294. 117 indexed citations

Hayashi, Shuto, Rui Yamaguchi, Shinichi Mizuno, et al.. (2018). ALPHLARD: a Bayesian method for analyzing HLA genes from whole genome sequence data. BMC Genomics. 19(1). 16 indexed citations

Fujii, Keisuke, Yoshihiro Miyahara, Naozumi Harada, et al.. (2017). Identification of an immunogenic neo-epitope encoded by mouse sarcoma using CXCR3 ligand mRNAs as sensors. OncoImmunology. 6(5). e1306617–e1306617. 5 indexed citations

Yamaguchi, Kiyoshi, Satoshi Nagayama, Eigo Shimizu, et al.. (2016). Reduced expression of APC-1B but not APC-1A by the deletion of promoter 1B is responsible for familial adenomatous polyposis. Scientific Reports. 6(1). 26011–26011. 15 indexed citations

Yamaguchi, Kiyoshi, Mitsuhiro Komura, Rui Yamaguchi, et al.. (2015). Detection of APC mosaicism by next-generation sequencing in an FAP patient. Journal of Human Genetics. 60(5). 227–231. 28 indexed citations

Ikenoue, Tsuneo, Kiyoshi Yamaguchi, Mitsuhiro Komura, et al.. (2015). Attenuated familial adenomatous polyposis with desmoids caused by an APC mutation. Human Genome Variation. 2(1). 15011–15011. 4 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.

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