Akiko Doi

5.8k total citations · 2 hit papers
21 papers, 2.3k citations indexed

About

Akiko Doi is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Surgery. According to data from OpenAlex, Akiko Doi has authored 21 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Electrical and Electronic Engineering and 2 papers in Surgery. Recurrent topics in Akiko Doi's work include Epigenetics and DNA Methylation (4 papers), Pluripotent Stem Cells Research (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). Akiko Doi is often cited by papers focused on Epigenetics and DNA Methylation (4 papers), Pluripotent Stem Cells Research (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). Akiko Doi collaborates with scholars based in Japan, United States and United Kingdom. Akiko Doi's co-authors include Andrew P. Feinberg, Martin J. Aryee, George Q. Daley, Peter Murakami, Rafael A. Irizarry, Christine Ladd‐Acosta, Justine D. Miller, In-Hyun Park, Brian R. Herb and Bo Wen and has published in prestigious journals such as Nature, Nature Communications and Nature Genetics.

In The Last Decade

Akiko Doi

20 papers receiving 2.3k citations

Hit Papers

Differential methylation of tissue- and cancer-specific C... 2009 2026 2014 2020 2009 2010 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akiko Doi Japan 9 2.0k 329 183 182 178 21 2.3k
José A. Costoya Spain 21 1.1k 0.6× 398 1.2× 112 0.6× 237 1.3× 236 1.3× 42 2.0k
Jolanda van Hengel Belgium 31 2.4k 1.2× 227 0.7× 162 0.9× 397 2.2× 196 1.1× 75 3.4k
Nidhi Bhutani United States 25 1.8k 0.9× 308 0.9× 312 1.7× 287 1.6× 247 1.4× 50 2.8k
Georgia Lahr Germany 25 896 0.5× 415 1.3× 239 1.3× 253 1.4× 219 1.2× 47 2.0k
Anis Féki Switzerland 31 1.0k 0.5× 261 0.8× 401 2.2× 246 1.4× 134 0.8× 125 2.5k
Timo Tuuri Finland 32 1.8k 0.9× 590 1.8× 371 2.0× 118 0.6× 126 0.7× 74 3.0k
Mireille Lambert France 24 1.1k 0.6× 248 0.8× 145 0.8× 177 1.0× 80 0.4× 44 2.4k
Alan J. Russell United States 23 1.2k 0.6× 163 0.5× 111 0.6× 338 1.9× 359 2.0× 64 2.4k
Gurtej K. Dhoot United Kingdom 26 1.8k 0.9× 188 0.6× 209 1.1× 68 0.4× 118 0.7× 80 2.8k
Andrea H. Németh United Kingdom 30 2.1k 1.1× 413 1.3× 83 0.5× 114 0.6× 558 3.1× 93 3.2k

Countries citing papers authored by Akiko Doi

Since Specialization
Citations

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

Fields of papers citing papers by Akiko Doi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akiko Doi

This figure shows the co-authorship network connecting the top 25 collaborators of Akiko Doi. A scholar is included among the top collaborators of Akiko Doi 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 Akiko Doi. Akiko Doi 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.
Maeda, Mitsuyo, Yosky Kataoka, Takayuki Nakagomi, et al.. (2024). Direct Water-Soluble Molecules Transfer from Transplanted Bone Marrow Mononuclear Cell to Hippocampal Neural Stem Cells. Stem Cells and Development. 33(17-18). 505–515. 2 indexed citations
2.
Doi, Akiko, Conor P. Delaney, David A. Tanner, Kirk B. Burkhart, & Robert D. Bell. (2024). RNA exon editing: Splicing the way to treat human diseases. Molecular Therapy — Nucleic Acids. 35(3). 102311–102311. 4 indexed citations
3.
Doi, Akiko, et al.. (2023). A DEAD-box helicase drives the partitioning of a pro-differentiation NAB protein into nuclear foci. Nature Communications. 14(1). 6593–6593. 3 indexed citations
4.
Doi, Akiko, Tomoyuki Miyazaki, Takahiro Mihara, et al.. (2021). CLP290 promotes the sedative effects of midazolam in neonatal rats in a KCC2-dependent manner: A laboratory study in rats. PLoS ONE. 16(3). e0248113–e0248113. 4 indexed citations
5.
Doi, Akiko, et al.. (2015). Synthesis of oligodiaminomannoses and analysis of their RNA duplex binding properties and their potential application as siRNA-based drugs. Organic & Biomolecular Chemistry. 13(36). 9504–9515. 8 indexed citations
6.
Isaka, Mitsuhiro, et al.. (2014). Corrective surgery for canine patellar luxation in 75 cases (107 limbs): landmark for block recession. SHILAP Revista de lepidopterología. 4(2). 1 indexed citations
7.
Nishi, Yuichi, et al.. (2012). [Anesthetic management of a patient with thrombocytopenia induced by methotrexate undergoing emergent clipping surgery].. PubMed. 61(10). 1102–4. 1 indexed citations
8.
Frieze, Irene Hanson, et al.. (2012). College Students’ Perceptions of Intimate Partner Violence: A Comparative Study of Japan, China, and the United States. SHILAP Revista de lepidopterología. 19 indexed citations
9.
McDonald, Oliver G., Hao Wu, Winston Timp, Akiko Doi, & Andrew P. Feinberg. (2011). Genome-scale epigenetic reprogramming during epithelial-to-mesenchymal transition. Nature Structural & Molecular Biology. 18(8). 867–874. 303 indexed citations
10.
Kim, Kitai, Rui Zhao, Akiko Doi, et al.. (2011). Donor cell type can influence the epigenome and differentiation potential of human induced pluripotent stem cells. Nature Biotechnology. 29(12). 1117–1119. 457 indexed citations
11.
Ji, Hong, Lauren I. R. Ehrlich, Jun Seita, et al.. (2010). Comprehensive methylome map of lineage commitment from haematopoietic progenitors. Nature. 467(7313). 338–342. 467 indexed citations breakdown →
12.
Doi, Akiko, Takayuki Nakagomi, Nami Nakagomi, et al.. (2010). Bone marrow mononuclear cells promote proliferation of endogenous neural stem cells through vascular niches after cerebral infarction. Neuroscience Research. 68. e319–e319. 5 indexed citations
13.
Doi, Akiko, In-Hyun Park, Bo Wen, et al.. (2009). Differential methylation of tissue- and cancer-specific CpG island shores distinguishes human induced pluripotent stem cells, embryonic stem cells and fibroblasts. Nature Genetics. 41(12). 1350–1353. 867 indexed citations breakdown →
14.
Doi, Akiko, et al.. (2007). [Anesthetic management for cesarean delivery in a patient with May-Hegglin anomaly].. PubMed. 56(10). 1198–9. 6 indexed citations
15.
Sato, Takehiko, et al.. (2006). Sterilization mechanism for Escherichia coli by plasma flow at atmospheric pressure. Applied Physics Letters. 89(7). 74 indexed citations
16.
Sato, Takehiko, et al.. (2006). 821 Sterilization mechanism of Escherichia coli by a low-temperature atmospheric plasma flow(2). Ryuutai Kougaku Bumon Kouenkai kouen rombunshuu. 2006(0). _821–1_. 1 indexed citations
17.
Doi, Akiko, et al.. (2004). Spontaneous mutagenesis in haploid and diploid Saccharomyces cerevisiae. Biochemical and Biophysical Research Communications. 325(3). 928–933. 39 indexed citations
18.
Doi, Akiko & Akira Ikemi. (2003). How Getting in Touch with Feelings Happens: The Process of Referencing. Journal of Humanistic Psychology. 43(4). 87–101. 4 indexed citations
19.
Fujiyama, Hiroshi, et al.. (1998). Ceramics inner coating of narrow tubes by a coaxial magnetron pulsed plasma. Surface and Coatings Technology. 98(1-3). 1467–1472. 17 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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