Naoko Hattori

4.2k total citations
93 papers, 3.1k citations indexed

About

Naoko Hattori is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Naoko Hattori has authored 93 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 14 papers in Cancer Research and 12 papers in Epidemiology. Recurrent topics in Naoko Hattori's work include Epigenetics and DNA Methylation (34 papers), Cancer-related gene regulation (17 papers) and RNA modifications and cancer (11 papers). Naoko Hattori is often cited by papers focused on Epigenetics and DNA Methylation (34 papers), Cancer-related gene regulation (17 papers) and RNA modifications and cancer (11 papers). Naoko Hattori collaborates with scholars based in Japan, Germany and United Kingdom. Naoko Hattori's co-authors include Toshikazu Ushijima, Kunio Shiota, Satoshi Tanaka, Koichiro Nishino, Naka Hattori, Jun Ohgane, Yeoung‐Gyu Ko, Satoshi Yamashita, Hideyuki Takeshima and Shintaro Yagi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Naoko Hattori

92 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naoko Hattori Japan 28 1.9k 443 387 321 280 93 3.1k
Gaetano Romano United States 27 2.1k 1.1× 704 1.6× 450 1.2× 175 0.5× 723 2.6× 80 3.3k
Leona Cohen‐Gould United States 27 1.5k 0.8× 200 0.5× 155 0.4× 332 1.0× 269 1.0× 43 2.9k
Qian‐Chun Yu United States 23 1.4k 0.7× 602 1.4× 189 0.5× 202 0.6× 277 1.0× 29 2.7k
Joseph T.C. Shieh United States 24 911 0.5× 689 1.6× 202 0.5× 279 0.9× 237 0.8× 61 2.2k
Francisco Martı́n Spain 30 1.7k 0.9× 713 1.6× 284 0.7× 204 0.6× 554 2.0× 119 3.0k
Pradeep Reddy United States 26 2.3k 1.2× 466 1.1× 338 0.9× 179 0.6× 301 1.1× 47 3.9k
Xianming Mo China 31 2.2k 1.2× 297 0.7× 562 1.5× 194 0.6× 937 3.3× 116 3.6k
Ute Felbor Germany 26 1.7k 0.9× 405 0.9× 722 1.9× 149 0.5× 304 1.1× 84 4.2k
Anya Tsalenko United States 24 2.1k 1.1× 1.3k 3.0× 384 1.0× 358 1.1× 268 1.0× 37 3.8k
Matthew F. Starost United States 28 1.3k 0.7× 335 0.8× 308 0.8× 172 0.5× 260 0.9× 97 2.4k

Countries citing papers authored by Naoko Hattori

Since Specialization
Citations

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

Fields of papers citing papers by Naoko Hattori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoko Hattori

This figure shows the co-authorship network connecting the top 25 collaborators of Naoko Hattori. A scholar is included among the top collaborators of Naoko Hattori 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 Naoko Hattori. Naoko Hattori 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.
Asano, Naofumi, Hirohiko Totsuka, Sachiyo Mitani, et al.. (2024). Early separation and parallel clonal selection of dedifferentiated and well-differentiated components in dedifferentiated liposarcoma. Neoplasia. 59. 101074–101074.
3.
Kato, Masakazu, Yasushi Saeki, Jun Hamazaki, et al.. (2024). Intrinsic signaling pathways modulate targeted protein degradation. Nature Communications. 15(1). 5379–5379. 10 indexed citations
4.
Hattori, Naoko, Satoshi Yamashita, Yuyu Liu, et al.. (2023). HSD17B4 methylation enhances glucose dependence of BT-474 breast cancer cells and increases lapatinib sensitivity. Breast Cancer Research and Treatment. 201(2). 317–328. 3 indexed citations
5.
Hattori, Naoko, Naoko Iida, Yuichi Shiraishi, et al.. (2023). Sleeping Beauty transposon mutagenesis identified genes and pathways involved in inflammation-associated colon tumor development. Nature Communications. 14(1). 6514–6514. 6 indexed citations
6.
Zhang, Chun‐Dong, Hideyuki Takeshima, Shigeki Sekine, et al.. (2021). Prediction of tissue origin of adenocarcinomas in the esophagogastric junction by DNA methylation. Gastric Cancer. 25(2). 336–345. 2 indexed citations
7.
Ishihara, Hiroki, Satoshi Yamashita, Yuyu Liu, et al.. (2020). Genetic and epigenetic profiling indicates the proximal tubule origin of renal cancers in end‐stage renal disease. Cancer Science. 111(11). 4276–4287. 12 indexed citations
8.
Yamashita, Satoshi, Naoko Hattori, Satoshi Fujii, et al.. (2020). Multi-omics analyses identify HSD17B4 methylation-silencing as a predictive and response marker of HER2-positive breast cancer to HER2-directed therapy. Scientific Reports. 10(1). 15530–15530. 18 indexed citations
9.
Maeda, Masahiro, Hideyuki Takeshima, Naoko Iida, et al.. (2019). Cancer cell niche factors secreted from cancer-associated fibroblast by loss of H3K27me3. Gut. 69(2). 243–251. 70 indexed citations
10.
Asano, Naofumi, Hideyuki Takeshima, Satoshi Yamashita, et al.. (2019). Epigenetic reprogramming underlies efficacy of DNA demethylation therapy in osteosarcomas. Scientific Reports. 9(1). 20360–20360. 17 indexed citations
11.
Okochi‐Takada, Eriko, Naoko Hattori, Akihiro Ito, et al.. (2016). Establishment of a high-throughput detection system for DNA demethylating agents. Epigenetics. 13(2). 147–155. 8 indexed citations
12.
Takeshima, Hideyuki, Takayoshi Kishino, Emi Kubo, et al.. (2016). Early-Stage Induction of SWI/SNF Mutations during Esophageal Squamous Cell Carcinogenesis. PLoS ONE. 11(1). e0147372–e0147372. 14 indexed citations
13.
Liu, Zhaojun, Jun Zhang, Yanhong Gao, et al.. (2014). Large-Scale Characterization of DNA Methylation Changes in Human Gastric Carcinomas with and without Metastasis. Clinical Cancer Research. 20(17). 4598–4612. 69 indexed citations
14.
Hattori, Naoko & Toshikazu Ushijima. (2014). Compendium of aberrant DNA methylation and histone modifications in cancer. Biochemical and Biophysical Research Communications. 455(1-2). 3–9. 47 indexed citations
15.
Hattori, Naoko, et al.. (2011). Methylation silencing of angiopoietin‐like 4 in rat and human mammary carcinomas. Cancer Science. 102(7). 1337–1343. 19 indexed citations
16.
Asahina, Akihiko, Takahiro Watanabe, Akiko Kishi, et al.. (2006). Evaluation of the treatment of port-wine stains with the 595-nm long pulsed dye laser: A large prospective study in adult Japanese patients. Journal of the American Academy of Dermatology. 54(3). 487–493. 41 indexed citations
17.
Tsunemi, Yuichiro, Hironobu Ihn, Naoko Hattori, Hidehisa Saeki, & Kunihiko Tamaki. (2003). Multiple Eruptive Dermatofibromas with CD34+ Cells in a Patient with Hypertriglyceridemia. Dermatology. 207(3). 319–321. 8 indexed citations
18.
19.
Inubushi, Masayuki, Eiji Tadamura, Takashi Kudoh, et al.. (1999). Simultaneous assessment of myocardial fatty acid utilization and LV function using I-123 BMIPP gated SPECT (GSPECT). Journal of Nuclear Cardiology. 6(1). S66–S66. 1 indexed citations
20.
Marcon, Luisa, Frank H. Michaels, Naoko Hattori, et al.. (1991). Dispensable role of the human immunodeficiency virus type 2 Vpx protein in viral replication. Journal of Virology. 65(7). 3938–3942. 25 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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