Y Nakamura

649 total citations
7 papers, 487 citations indexed

About

Y Nakamura is a scholar working on Molecular Biology, Genetics and Genetics. According to data from OpenAlex, Y Nakamura has authored 7 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Genetics and 1 paper in Genetics. Recurrent topics in Y Nakamura's work include RNA modifications and cancer (2 papers), Bacterial Genetics and Biotechnology (2 papers) and RNA and protein synthesis mechanisms (2 papers). Y Nakamura is often cited by papers focused on RNA modifications and cancer (2 papers), Bacterial Genetics and Biotechnology (2 papers) and RNA and protein synthesis mechanisms (2 papers). Y Nakamura collaborates with scholars based in Japan and Germany. Y Nakamura's co-authors include Norio Niikawa, Yoichi Furukawa, Mikio Furuse, Nobutomo Miwa, Sachiko Tsukita, Yataro Daigo, Mayumi Tamari, Kiyoshi Kawakami, Glenn R. Björk and H. Ikeda and has published in prestigious journals such as Proceedings of the National Academy of Sciences, International Journal of Oncology and Journal of Human Genetics.

In The Last Decade

Y Nakamura

7 papers receiving 476 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Y Nakamura Japan 7 279 165 83 80 76 7 487
Karen L. Singer United States 7 274 1.0× 107 0.6× 31 0.4× 43 0.5× 34 0.4× 7 527
Syuji Umeda United States 6 139 0.5× 41 0.2× 72 0.9× 25 0.3× 52 0.7× 8 403
A. A. Hurwitz United States 5 171 0.6× 106 0.6× 107 1.3× 100 1.3× 40 0.5× 6 497
Sarah Schouteden Belgium 9 125 0.4× 51 0.3× 60 0.7× 48 0.6× 17 0.2× 14 399
Priscilla Soulié Switzerland 8 195 0.7× 42 0.3× 104 1.3× 71 0.9× 50 0.7× 18 344
Laura Arthur United States 7 258 0.9× 81 0.5× 64 0.8× 18 0.2× 30 0.4× 7 566
Maja Studencka‐Turski Germany 13 332 1.2× 21 0.1× 68 0.8× 36 0.5× 41 0.5× 16 479
Vivian Turner Australia 11 145 0.5× 27 0.2× 53 0.6× 78 1.0× 21 0.3× 11 426
Brigitte Fritz Germany 6 73 0.3× 70 0.4× 113 1.4× 22 0.3× 25 0.3× 6 753
Victoria Fang United States 10 234 0.8× 24 0.1× 91 1.1× 25 0.3× 23 0.3× 17 481

Countries citing papers authored by Y Nakamura

Since Specialization
Citations

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

Fields of papers citing papers by Y Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y Nakamura

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

All Works

7 of 7 papers shown
1.
Miwa, Nobutomo, Mikio Furuse, Sachiko Tsukita, et al.. (2001). Involvement of Claudin-1 in the β-Catenin/Tcf Signaling Pathway and its Frequent Upregulation in Human Colorectal Cancers. Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics. 12(11). 469–476. 251 indexed citations
2.
Saito, Kenji, Y Nakamura, Kazuo Waga, et al.. (2000). Low-dose cytarabine and aclarubicin in combination with granulocyte colony-stimulating factor (CAG regimen) for previously treated patients with relapsed or primary resistant acute myelogenous leukemia (AML) and previously untreated elderly patients with AML, secondary AML, and refractory anemia with excess blasts in transformation.. PubMed. 71(3). 238–44. 58 indexed citations
3.
Tamari, Mayumi, Yataro Daigo, & Y Nakamura. (1999). Isolation and characterization of a novel serine threonine kinase gene on chromosome 3p22-21.3. Journal of Human Genetics. 44(2). 116–120. 50 indexed citations
4.
Ishikawa, Shinji, M. Kai, Mayumi Tamari, et al.. (1998). Genomic organization and mapping of the human activin receptor type IIB (hActR-IIB) gene. Journal of Human Genetics. 43(2). 132–134. 18 indexed citations
5.
Koike, Katsuro, Y Nakamura, Midori Kobayashi, et al.. (1996). Hepatitis B virus DNA integration frequently observed in the hepatocellular carcinoma DNA of hepatitis C virus-infected patients. International Journal of Oncology. 8(4). 781–4. 20 indexed citations
6.
Ito, Koichi, Koichi Kawakami, & Y Nakamura. (1993). Multiple control of Escherichia coli lysyl-tRNA synthetase expression involves a transcriptional repressor and a translational enhancer element.. Proceedings of the National Academy of Sciences. 90(1). 302–306. 32 indexed citations
7.
Kawakami, Kiyoshi, Yvonne Jonsson, Glenn R. Björk, H. Ikeda, & Y Nakamura. (1988). Chromosomal location and structure of the operon encoding peptide-chain-release factor 2 of Escherichia coli.. Proceedings of the National Academy of Sciences. 85(15). 5620–5624. 58 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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