Rika Nakayama

1.4k total citations
22 papers, 1.1k citations indexed

About

Rika Nakayama is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Rika Nakayama has authored 22 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 5 papers in Cell Biology and 4 papers in Oncology. Recurrent topics in Rika Nakayama's work include Developmental Biology and Gene Regulation (9 papers), Epigenetics and DNA Methylation (4 papers) and Congenital heart defects research (3 papers). Rika Nakayama is often cited by papers focused on Developmental Biology and Gene Regulation (9 papers), Epigenetics and DNA Methylation (4 papers) and Congenital heart defects research (3 papers). Rika Nakayama collaborates with scholars based in Japan, United States and United Kingdom. Rika Nakayama's co-authors include Shinichi Aizawa, Daisuke Kurokawa, Hiroshi Kiyonari, Chu‐Xia Deng, Yoshito Masamizu, Yasutaka Niwa, Ryoichiro Kageyama, Chiharu Kimura-Yoshida, Isao Matsuo and Nobuyoshi Takasaki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The Journal of Cell Biology.

In The Last Decade

Rika Nakayama

20 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rika Nakayama Japan 16 804 172 172 149 134 22 1.1k
Yakop Jacobs United States 11 1.1k 1.3× 130 0.8× 315 1.8× 114 0.8× 153 1.1× 12 1.3k
Bruno Della Gaspera France 25 827 1.0× 120 0.7× 125 0.7× 96 0.6× 95 0.7× 42 1.3k
Leta S. Steffen United States 11 714 0.9× 176 1.0× 151 0.9× 74 0.5× 73 0.5× 12 946
Yasuko Onuma Japan 20 1.2k 1.5× 106 0.6× 185 1.1× 78 0.5× 169 1.3× 44 1.5k
Jesús Cruces Spain 14 1.1k 1.3× 191 1.1× 188 1.1× 123 0.8× 133 1.0× 32 1.4k
Mahua Mukhopadhyay United States 15 1.2k 1.4× 114 0.7× 311 1.8× 148 1.0× 83 0.6× 20 1.4k
Dawn E. Watkins‐Chow United States 17 648 0.8× 233 1.4× 237 1.4× 164 1.1× 63 0.5× 37 1.1k
Maura H. Parker United States 11 1.0k 1.3× 83 0.5× 170 1.0× 102 0.7× 135 1.0× 20 1.2k
Laure Lecoin France 14 538 0.7× 213 1.2× 162 0.9× 76 0.5× 276 2.1× 20 921
Christophe Houbron France 16 1.4k 1.7× 186 1.1× 299 1.7× 133 0.9× 144 1.1× 24 2.0k

Countries citing papers authored by Rika Nakayama

Since Specialization
Citations

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

Fields of papers citing papers by Rika Nakayama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rika Nakayama

This figure shows the co-authorship network connecting the top 25 collaborators of Rika Nakayama. A scholar is included among the top collaborators of Rika Nakayama 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 Rika Nakayama. Rika Nakayama 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.
Mihara, Takahiro, et al.. (2019). Comparison of the clinical performance of i-gel and Ambu AuraGain in children. European Journal of Anaesthesiology. 36(6). 411–417. 11 indexed citations
3.
Okuyama, Hiroaki, Toru Yoshida, Aoi Son, et al.. (2009). Thioredoxin Binding Protein 2 Modulates Natural Killer T Cell-Dependent Innate Immunity in the Liver: Possible Link to Lipid Metabolism. Antioxidants and Redox Signaling. 11(10). 2585–2593. 15 indexed citations
4.
Yamakoshi, Kimi, Akiko Takahashi, Fumiko Hirota, et al.. (2009). Real-time in vivo imaging of p16Ink4a reveals cross talk with p53. The Journal of Cell Biology. 186(3). 393–407. 121 indexed citations
5.
Matsumoto, Mitsuru, Yiqing Zhou, Shinji Matsuo, et al.. (2008). Targeted deletion of the murine corneodesmosin gene delineates its essential role in skin and hair physiology. Proceedings of the National Academy of Sciences. 105(18). 6720–6724. 42 indexed citations
6.
Niwa, Yasutaka, et al.. (2007). The Initiation and Propagation of Hes7 Oscillation Are Cooperatively Regulated by Fgf and Notch Signaling in the Somite Segmentation Clock. Developmental Cell. 13(2). 298–304. 158 indexed citations
7.
Takasaki, Nobuyoshi, Daisuke Kurokawa, Rika Nakayama, Jun‐ichi Nakayama, & Shinichi Aizawa. (2007). Acetylated YY1 regulates Otx2 expression in anterior neuroectoderm at two cis‐sites 90 kb apart. The EMBO Journal. 26(6). 1649–1659. 27 indexed citations
8.
Sakata, Daiji, Hiroyuki Taniguchi, Shingo Yasuda, et al.. (2007). Impaired T lymphocyte trafficking in mice deficient in an actin-nucleating protein, mDia1. The Journal of Experimental Medicine. 204(9). 2031–2038. 107 indexed citations
9.
Ohtani, Naoko, Yuko Imamura, Kimi Yamakoshi, et al.. (2007). Visualizing the dynamics of p21 Waf1/Cip1 cyclin-dependent kinase inhibitor expression in living animals. Proceedings of the National Academy of Sciences. 104(38). 15034–15039. 56 indexed citations
10.
Sakata, Daiji, Hiroyuki Taniguchi, Shingo Yasuda, et al.. (2007). Impaired T lymphocyte trafficking in mice deficient in an actin-nucleating protein, mDia1. The Journal of Cell Biology. 178(4). i8–i8. 4 indexed citations
11.
Ogawa, Masaaki, Tsuyoshi Miyakawa, Kenji Nakamura, et al.. (2007). Altered sensitivities to morphine and cocaine in scaffold protein tamalin knockout mice. Proceedings of the National Academy of Sciences. 104(37). 14789–14794. 23 indexed citations
12.
Kurokawa, Daisuke, Ai Inoue, Rika Nakayama, et al.. (2006). Evolutionary constraint on Otx2 neuroectoderm enhancers-deep conservation from skate to mouse and unique divergence in teleost. Proceedings of the National Academy of Sciences. 103(51). 19350–19355. 29 indexed citations
13.
Shimoyama, Naohito, et al.. (2006). Anesthesiologists are Suitable for Palliative Physicians in Hospital Palliative Care Teams. THE JOURNAL OF JAPAN SOCIETY FOR CLINICAL ANESTHESIA. 26(1). 18–24. 1 indexed citations
14.
Hirata, Tsutomu, Masato Nakazawa, Osamu Muraoka, et al.. (2006). Zinc-finger genesFezandFez-likefunction in the establishment of diencephalon subdivisions. Development. 133(20). 3993–4004. 82 indexed citations
15.
Nishioka, Noriyuki, Seiichi Nagano, Rika Nakayama, et al.. (2005). Ssdp1 regulates head morphogenesis of mouse embryos by activating the Lim1-Ldb1 complex. Development. 132(11). 2535–2546. 63 indexed citations
16.
Sawada, Atsushi, Yuriko Nishizaki, Hiroko Sato, et al.. (2005). Tead proteins activate theFoxa2enhancer in the node in cooperation with a second factor. Development. 132(21). 4719–4729. 39 indexed citations
17.
Kurokawa, Daisuke, Hiroshi Kiyonari, Rika Nakayama, et al.. (2004). Regulation ofOtx2expression and its functions in mouse forebrain and midbrain. Development. 131(14). 3319–3331. 83 indexed citations
18.
Saitsu, Hirotomo, Munekazu Komada, Misao Suzuki, et al.. (2004). Expression of the mouse Fgf15 gene is directly initiated by Sonic hedgehog signaling in the diencephalon and midbrain. Developmental Dynamics. 232(2). 282–292. 30 indexed citations
19.
Kurokawa, Daisuke, Nobuyoshi Takasaki, Hiroshi Kiyonari, et al.. (2004). Regulation ofOtx2expression and its functions in mouse epiblast and anterior neuroectoderm. Development. 131(14). 3307–3317. 65 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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