Shinya Oki

3.5k total citations · 2 hit papers
59 papers, 1.9k citations indexed

About

Shinya Oki is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Shinya Oki has authored 59 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 9 papers in Genetics and 7 papers in Cancer Research. Recurrent topics in Shinya Oki's work include Epigenetics and DNA Methylation (12 papers), Genomics and Chromatin Dynamics (9 papers) and Developmental Biology and Gene Regulation (8 papers). Shinya Oki is often cited by papers focused on Epigenetics and DNA Methylation (12 papers), Genomics and Chromatin Dynamics (9 papers) and Developmental Biology and Gene Regulation (8 papers). Shinya Oki collaborates with scholars based in Japan, United States and Germany. Shinya Oki's co-authors include Tazro Ohta, Chikara Meno, Zhaonan Zou, Hideya Kawaji, Hiroshi Hamada, Hideki Hatanaka, Jun Sese, Yoshihiro Okuda, Go Shioi and Fumihito Miura and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Shinya Oki

55 papers receiving 1.9k citations

Hit Papers

Ch IP ‐Atlas: a data‐mining suite powered by full integra... 2018 2026 2020 2023 2018 2022 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shinya Oki Japan 22 1.5k 272 245 147 140 59 1.9k
Anna Křepelová Czechia 18 1.6k 1.1× 292 1.1× 235 1.0× 128 0.9× 139 1.0× 54 2.0k
Dan Liang United States 14 1.8k 1.2× 287 1.1× 215 0.9× 154 1.0× 255 1.8× 25 2.3k
Mirang Kim South Korea 24 1.2k 0.8× 161 0.6× 439 1.8× 146 1.0× 200 1.4× 58 1.7k
Bernard Jost France 27 1.6k 1.0× 434 1.6× 297 1.2× 235 1.6× 226 1.6× 48 2.3k
Kyoichi Isono Japan 29 2.2k 1.4× 357 1.3× 170 0.7× 192 1.3× 202 1.4× 58 2.6k
Robin Andersson Denmark 30 2.4k 1.5× 470 1.7× 473 1.9× 130 0.9× 116 0.8× 59 2.9k
Ying Cao China 22 1.2k 0.8× 254 0.9× 207 0.8× 88 0.6× 142 1.0× 64 1.6k
Pierre‐Olivier Angrand France 23 1.7k 1.1× 420 1.5× 256 1.0× 89 0.6× 122 0.9× 44 2.0k
Hong Qu China 21 1000 0.6× 203 0.7× 189 0.8× 87 0.6× 194 1.4× 90 1.6k

Countries citing papers authored by Shinya Oki

Since Specialization
Citations

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

Fields of papers citing papers by Shinya Oki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shinya Oki

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

All Works

20 of 20 papers shown
1.
2.
Hayashi, Akimasa, Yu-Jui Ho, Alvin P. Makohon-Moore, et al.. (2025). The Noncoding Mutational Landscape of Pancreatic Cancer Reveals Recurrent Somatic Mutations in Enhancer Regions. Cancer Research Communications. 5(10). 1839–1851. 1 indexed citations
3.
Kuboyama, Kazuya, et al.. (2025). High spatial resolution gene expression profiling and characterization of neuroblasts migrating in the peri-injured cortex using photo-isolation chemistry. Frontiers in Neuroscience. 18. 1504047–1504047. 3 indexed citations
4.
Katoh, Hiroshi, Ryuichi Kimura, Tsuyoshi Sekizuka, et al.. (2024). Structural and molecular properties of mumps virus inclusion bodies. Science Advances. 10(49). eadr0359–eadr0359. 1 indexed citations
5.
Zou, Zhaonan, et al.. (2023). Elucidating disease-associated mechanisms triggered by pollutants via the epigenetic landscape using large-scale ChIP-Seq data. Epigenetics & Chromatin. 16(1). 34–34. 4 indexed citations
6.
Zou, Zhaonan, Tazro Ohta, Fumihito Miura, & Shinya Oki. (2022). ChIP-Atlas 2021 update: a data-mining suite for exploring epigenomic landscapes by fully integrating ChIP-seq, ATAC-seq and Bisulfite-seq data. Nucleic Acids Research. 50(W1). W175–W182. 188 indexed citations breakdown →
7.
Hirata, Hirohito, Kenichi Nishioka, Hiroaki Honda, et al.. (2022). A novel role of helix‐loop‐helix transcriptional factor Bhlhe40 in osteoclast activation. Journal of Cellular Physiology. 237(10). 3912–3926. 7 indexed citations
8.
Zou, Zhaonan, M Iwata, Yoshihiro Yamanishi, & Shinya Oki. (2022). Epigenetic landscape of drug responses revealed through large-scale ChIP-seq data analyses. BMC Bioinformatics. 23(1). 51–51. 8 indexed citations
9.
Yoshizaki, Kaichi, Ryuichi Kimura, Hisato Kobayashi, et al.. (2021). Paternal age affects offspring via an epigenetic mechanism involving REST/NRSF. EMBO Reports. 22(2). e51524–e51524. 49 indexed citations
10.
Oki, Shinya, Go Shioi, Osamu Ogasawara, et al.. (2018). ChIP-Atlas 公開チップ-seqデータの完全統合により駆動されたデータマイニング・スイート【JST・京大機械翻訳】. EMBO Reports. 19(12). 46255. 1 indexed citations
11.
Mochizuki, Kentaro, et al.. (2018). Blimp1によるHDAC3の選択的補充による体細胞遺伝子の抑制はマウス始原生殖細胞運命決定に必須である【JST・京大機械翻訳】. Cell Reports. 24(10). 2682–2693. 4 indexed citations
12.
Semba, Yuichiro, Akihito Harada, Kazumitsu Maehara, et al.. (2017). Chd2 regulates chromatin for proper gene expression toward differentiation in mouse embryonic stem cells. Nucleic Acids Research. 45(15). 8758–8772. 28 indexed citations
13.
Oki, Shinya, Kazumitsu Maehara, Yasuyuki Ohkawa, & Chikara Meno. (2014). SraTailor: Graphical user interface software for processing and visualizing Ch IP ‐seq data. Genes to Cells. 19(12). 919–926. 14 indexed citations
14.
Shiratori, Hidetaka, Kenta Yashiro, Naomi Iwai, et al.. (2014). Self-regulated left-right asymmetric expression of Pitx2c in the developing mouse limb. Developmental Biology. 395(2). 331–341. 7 indexed citations
15.
Miki, Rika, Tetsu Yoshida, Kazuya Murata, et al.. (2011). Fate maps of ventral and dorsal pancreatic progenitor cells in early somite stage mouse embryos. Mechanisms of Development. 128(11-12). 597–609. 19 indexed citations
16.
Saijoh, Yukio, Shinya Oki, Tetsuya Nakamura, et al.. (2005). Two nodal‐responsive enhancers control left–right asymmetric expression of Nodal. Developmental Dynamics. 232(4). 1031–1036. 26 indexed citations
17.
Saijoh, Yukio, Shinya Oki, Sachiko Oh‐ishi, & Hiroshi Hamada. (2003). Left–right patterning of the mouse lateral plate requires nodal produced in the node. Developmental Biology. 256(1). 161–173. 115 indexed citations
18.
Oki, Shinya, et al.. (2002). An observation of the initial stage towards a symbiotic relationship. Biosystems. 65(2-3). 105–112. 9 indexed citations
19.
Oki, Shinya, et al.. (2002). Unique Colony Housing the Coexisting Escherichia coli and Dictyostelium discoideum. Journal of Biological Physics. 28(4). 793–797. 1 indexed citations
20.
Desaki, Junzo, Shinya Oki, & Yoshio Matsuda. (1996). Morphological Changes of Capillaries Associated with Muscle-Fiber Atrophy in the Extensor Digitorum Longus Muscle of Aged Rats. Journal of Electron Microscopy. 45(5). 364–371. 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.

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