Teppei Shimamura

10.7k total citations · 2 hit papers
97 papers, 3.2k citations indexed

About

Teppei Shimamura is a scholar working on Molecular Biology, Cancer Research and Electrical and Electronic Engineering. According to data from OpenAlex, Teppei Shimamura has authored 97 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Molecular Biology, 16 papers in Cancer Research and 14 papers in Electrical and Electronic Engineering. Recurrent topics in Teppei Shimamura's work include Gene expression and cancer classification (21 papers), Bioinformatics and Genomic Networks (18 papers) and RNA modifications and cancer (12 papers). Teppei Shimamura is often cited by papers focused on Gene expression and cancer classification (21 papers), Bioinformatics and Genomic Networks (18 papers) and RNA modifications and cancer (12 papers). Teppei Shimamura collaborates with scholars based in Japan, United States and United Kingdom. Teppei Shimamura's co-authors include Satoru Miyano, Seiya Imoto, Koshi Mimori, Masaki Mori, Tomoya Sudo, Kohichi Kawahara, Fumiaki Tanaka, Ryunosuke Kogo, Shizuo Komune and Kohei Shibata and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Teppei Shimamura

92 papers receiving 3.2k 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.

Long Noncoding RNA HOTAIR Regulates Polycomb-Dependent Chromatin Modification and Is Associated with Poor Prognosis in Colorectal Cancers

2011 1.1k citations Ryunosuke Kogo, Teppei Shimamura et al. Cancer Research profile →
Meta‐Analysis of Gut Dysbiosis in Parkinson's Disease

2020 270 citations Teppei Shimamura, Masaaki Hirayama et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Teppei Shimamura Japan	23	2.4k	1.7k	287	221	195	97	3.2k
Yunhui Liu China	41	3.5k 1.5×	2.9k 1.7×	305 1.1×	200 0.9×	120 0.6×	130	4.9k
Gabriela Kalna United Kingdom	33	2.1k 0.9×	1.0k 0.6×	713 2.5×	296 1.3×	168 0.9×	53	3.6k
Limei Hu United States	33	2.2k 0.9×	1.3k 0.8×	663 2.3×	316 1.4×	72 0.4×	88	3.5k
Yuan Zhou China	34	3.6k 1.5×	2.0k 1.2×	408 1.4×	252 1.1×	70 0.4×	153	4.8k
Bin Chen China	30	1.6k 0.7×	578 0.3×	489 1.7×	347 1.6×	115 0.6×	137	2.8k
Qinghua Jiang China	32	3.9k 1.6×	2.4k 1.4×	158 0.6×	153 0.7×	126 0.6×	135	5.2k
Tommaso Mazza Italy	26	1.6k 0.7×	584 0.3×	322 1.1×	127 0.6×	136 0.7×	190	2.7k
Yidong Chen China	15	1.7k 0.7×	786 0.5×	183 0.6×	103 0.5×	129 0.7×	39	2.4k
Sun Kim South Korea	27	1.4k 0.6×	423 0.3×	287 1.0×	255 1.2×	382 2.0×	173	2.7k
Rong Hu China	21	2.2k 0.9×	475 0.3×	528 1.8×	287 1.3×	83 0.4×	128	4.0k

Countries citing papers authored by Teppei Shimamura

Since Specialization

Citations

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

Fields of papers citing papers by Teppei Shimamura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teppei Shimamura

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Muramatsu, Fumitaka, Tatsuya Suzuki, Teppei Shimamura, et al.. (2025). Vasoprotective effects of lysophosphatidic acid inhibit vascular injury caused by SARS-CoV-2 infection. Scientific Reports. 15(1). 24622–24622.

Kojima, Yasuhiro, et al.. (2024). DeepKINET: a deep generative model for estimating single-cell RNA splicing and degradation rates. Genome biology. 25(1). 229–229. 3 indexed citations

Koseki, Jun, Jun Yokoyama, Tomohiro Akashi, et al.. (2024). Survivability and life support in sealed mini-ecosystems with simulated planetary soils. Scientific Reports. 14(1). 26322–26322.

Shimamura, Teppei, et al.. (2023). UNMF: a unified nonnegative matrix factorization for multi-dimensional omics data. Briefings in Bioinformatics. 24(5). 5 indexed citations

Takasaki, Yuto, Branko Aleksić, Hiroki Kimura, et al.. (2022). Exome sequencing of Japanese schizophrenia multiplex families supports the involvement of calcium ion channels. PLoS ONE. 17(5). e0268321–e0268321. 1 indexed citations

Ikeda, Kei, Taka‐aki Nakada, Takahiro Kageyama, et al.. (2022). Detecting time-evolving phenotypic components of adverse reactions against BNT162b2 SARS-CoV-2 vaccine via non-negative tensor factorization. iScience. 25(10). 105237–105237. 1 indexed citations

Nishikawa, Hiroyoshi, et al.. (2021). A mixture-of-experts deep generative model for integrated analysis of single-cell multiomics data. Cell Reports Methods. 1(5). 100071–100071. 76 indexed citations

Maeda, Yuka, Hisashi Wada, Daisuke Sugiyama, et al.. (2021). Depletion of central memory CD8+ T cells might impede the antitumor therapeutic effect of Mogamulizumab. Nature Communications. 12(1). 7280–7280. 29 indexed citations

Maeda, Yuka, et al.. (2020). CYBERTRACK2.0: zero-inflated model-based cell clustering and population tracking method for longitudinal mass cytometry data. Bioinformatics. 37(11). 1632–1634. 4 indexed citations

10.

Matsui, Yusuke, et al.. (2019). A network of networks approach for modeling interconnected brain tissue-specific networks. Bioinformatics. 35(17). 3092–3101. 5 indexed citations

11.

Konno, Masamitsu, Jun Koseki, Ayumu Asai, et al.. (2019). Distinct methylation levels of mature microRNAs in gastrointestinal cancers. Nature Communications. 10(1). 3888–3888. 143 indexed citations

12.

Hirayama, Masaaki, et al.. (2018). A latent allocation model for the analysis of microbial composition and disease. BMC Bioinformatics. 19(S19). 519–519. 5 indexed citations

13.

Tsubota, Shoma, Satoshi Kishida, Teppei Shimamura, et al.. (2017). PRC2-Mediated Transcriptomic Alterations at the Embryonic Stage Govern Tumorigenesis and Clinical Outcome in MYCN-Driven Neuroblastoma. Cancer Research. 77(19). 5259–5271. 25 indexed citations

14.

Kanki, Yasuharu, Ryo Nakaki, Teppei Shimamura, et al.. (2017). Dynamically and epigenetically coordinated GATA/ETS/SOX transcription factor expression is indispensable for endothelial cell differentiation. Nucleic Acids Research. 45(8). 4344–4358. 42 indexed citations

15.

Matsui, Yusuke, Masahiro Mizuta, Satoshi Ito, Satoru Miyano, & Teppei Shimamura. (2016). D3M: detection of differential distributions of methylation levels. Bioinformatics. 32(15). 2248–2255. 3 indexed citations

16.

Hasegawa, Takanori, Atsushi Niida, Tomoya Mori, et al.. (2015). A likelihood-free filtering method via approximate Bayesian computation in evaluating biological simulation models. Computational Statistics & Data Analysis. 94. 63–74. 1 indexed citations

17.

Osawa, Tsuyoshi, Rika Tsuchida, Masashi Muramatsu, et al.. (2013). Inhibition of Histone Demethylase JMJD1A Improves Anti-Angiogenic Therapy and Reduces Tumor-Associated Macrophages. Cancer Research. 73(10). 3019–3028. 72 indexed citations

18.

Kogo, Ryunosuke, Teppei Shimamura, Koshi Mimori, et al.. (2011). Long Noncoding RNA HOTAIR Regulates Polycomb-Dependent Chromatin Modification and Is Associated with Poor Prognosis in Colorectal Cancers. Cancer Research. 71(20). 6320–6326. 1070 indexed citations breakdown →

19.

Tamada, Yoshinori, Teppei Shimamura, Rui Yamaguchi, et al.. (2011). Sign: large-scale gene network estimation environment for high performance computing.. PubMed. 25(1). 40–52. 15 indexed citations

20.

Fujita, André, João Ricardo Sato, Marcos Angelo Almeida Demasi, et al.. (2010). Inferring Contagion in Regulatory Networks. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 8(2). 570–576. 1 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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