Keiko Nakao

1.1k total citations
29 papers, 859 citations indexed

About

Keiko Nakao is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Keiko Nakao has authored 29 papers receiving a total of 859 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 11 papers in Genetics and 10 papers in Surgery. Recurrent topics in Keiko Nakao's work include Pancreatic function and diabetes (10 papers), Diabetes and associated disorders (6 papers) and Developmental Biology and Gene Regulation (6 papers). Keiko Nakao is often cited by papers focused on Pancreatic function and diabetes (10 papers), Diabetes and associated disorders (6 papers) and Developmental Biology and Gene Regulation (6 papers). Keiko Nakao collaborates with scholars based in Japan, United States and France. Keiko Nakao's co-authors include Hideyuki Okano, José A. Campos‐Ortega, Akinori Tokunaga, Jun Kohyama, Kazunobu Sawamoto, Tetsu Yoshida, Shoji Sawai, Michael Caudy, John A. Wagner and A. Kimball Romney and has published in prestigious journals such as Journal of Biological Chemistry, Neuron and Molecular and Cellular Biology.

In The Last Decade

Keiko Nakao

27 papers receiving 840 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keiko Nakao Japan 14 640 158 154 133 109 29 859
M. Elizabeth Forbes United States 16 532 0.8× 355 2.2× 89 0.6× 153 1.2× 64 0.6× 27 937
Pierre J. Fabre Switzerland 14 1.1k 1.7× 295 1.9× 160 1.0× 196 1.5× 123 1.1× 17 1.6k
Stavros Malas Cyprus 14 404 0.6× 82 0.5× 197 1.3× 129 1.0× 71 0.7× 32 750
Anthony P. Wiemelt United States 5 421 0.7× 267 1.7× 111 0.7× 121 0.9× 117 1.1× 6 698
R. Michael Henke United States 13 766 1.2× 188 1.2× 133 0.9× 221 1.7× 123 1.1× 18 999
F. Besnard France 10 504 0.8× 282 1.8× 164 1.1× 213 1.6× 39 0.4× 22 898
Cristina Zibetti United States 11 596 0.9× 124 0.8× 112 0.7× 91 0.7× 59 0.5× 16 743
Wolfgang Brysch Germany 18 495 0.8× 322 2.0× 75 0.5× 113 0.8× 78 0.7× 30 874
Adriano Flora Italy 17 855 1.3× 180 1.1× 209 1.4× 73 0.5× 113 1.0× 20 1.2k
Federico Cremisi Italy 23 1.1k 1.7× 378 2.4× 147 1.0× 303 2.3× 143 1.3× 60 1.4k

Countries citing papers authored by Keiko Nakao

Since Specialization
Citations

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

Fields of papers citing papers by Keiko Nakao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiko Nakao

This figure shows the co-authorship network connecting the top 25 collaborators of Keiko Nakao. A scholar is included among the top collaborators of Keiko Nakao 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 Keiko Nakao. Keiko Nakao 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.
Nakagawa, Yuko, Ayako Fukunaka, Takashi Sato, et al.. (2021). Characterisation of Ppy-lineage cells clarifies the functional heterogeneity of pancreatic beta cells in mice. Diabetologia. 64(12). 2803–2816. 11 indexed citations
2.
Hara, Akemi, Yuko Nakagawa, Keiko Nakao, et al.. (2019). Development of monoclonal mouse antibodies that specifically recognize pancreatic polypeptide. Endocrine Journal. 66(5). 459–468. 5 indexed citations
3.
Hori, Kei, Taku Nagai, Wei Shan, et al.. (2014). Cytoskeletal Regulation by AUTS2 in Neuronal Migration and Neuritogenesis. Cell Reports. 9(6). 2166–2179. 89 indexed citations
4.
5.
6.
Ozawa, Yoko, Keiko Nakao, Toshihide Kurihara, et al.. (2008). Roles of STAT3/SOCS3 Pathway in Regulating the Visual Function and Ubiquitin-Proteasome-dependent Degradation of Rhodopsin during Retinal Inflammation. Journal of Biological Chemistry. 283(36). 24561–24570. 65 indexed citations
7.
Toriya, Masako, Akinori Tokunaga, Kazunobu Sawamoto, Keiko Nakao, & Hideyuki Okano. (2006). Distinct Functions of Human Numb Isoforms Revealed by Misexpression in the Neural Stem Cell Lineage in the <i>Drosophila</i> Larval Brain. Developmental Neuroscience. 28(1-2). 142–155. 33 indexed citations
8.
Ozawa, Yoko, Keiko Nakao, Takuya Shimazaki, et al.. (2006). SOCS3 is required to temporally fine-tune photoreceptor cell differentiation. Developmental Biology. 303(2). 591–600. 23 indexed citations
9.
Ozawa, Yoko, Keiko Nakao, Takuya Shimazaki, & Hideyuki Okano. (2005). Downregulation of STAT3 activation is required for presumptive rod photoreceptor cells to differentiate in the postnatal retina. 25(2). 118–122. 1 indexed citations
10.
Kohyama, Jun, Akinori Tokunaga, Yūkō Fujita, et al.. (2005). Visualization of spatiotemporal activation of Notch signaling: Live monitoring and significance in neural development. Developmental Biology. 286(1). 311–325. 63 indexed citations
11.
Tokunaga, Akinori, Jun Kohyama, Tetsu Yoshida, et al.. (2004). Mapping spatio‐temporal activation of Notch signaling during neurogenesis and gliogenesis in the developing mouse brain. Journal of Neurochemistry. 90(1). 142–154. 90 indexed citations
12.
Ozawa, Yoko, Keiko Nakao, Takuya Shimazaki, et al.. (2004). Downregulation of STAT3 activation is required for presumptive rod photoreceptor cells to differentiate in the postnatal retina. Molecular and Cellular Neuroscience. 26(2). 258–270. 42 indexed citations
13.
Yoshida, Tetsu, Akinori Tokunaga, Keiko Nakao, & Hideyuki Okano. (2003). Distinct expression patterns of splicing isoforms of mNumb in the endocrine lineage of developing pancreas. Differentiation. 71(8). 486–495. 25 indexed citations
14.
Kishi, Noriyuki, Zhenyu Tang, Yusuke T. Maeda, et al.. (2001). Murine homologs of deltex define a novel gene family involved in vertebrate Notch signaling and neurogenesis. International Journal of Developmental Neuroscience. 19(1). 21–35. 82 indexed citations
15.
Sawai, Shoji, et al.. (2000). HES-1 Repression of Differentiation and Proliferation in PC12 Cells: Role for the Helix 3-Helix 4 Domain in Transcription Repression. Molecular and Cellular Biology. 20(16). 6170–6183. 86 indexed citations
16.
Nakao, Keiko & José A. Campos‐Ortega. (1996). Persistent Expression of Genes of the Enhancer of Split Complex Suppresses Neural Development in Drosophila. Neuron. 16(2). 275–286. 116 indexed citations
17.
Nakao, Keiko, et al.. (1987). Development and function of B cells in monolayer islet cells of 3-week-old rat. Life Sciences. 41(19). 2241–2249. 1 indexed citations
18.
19.
Yoshida, Keiko, et al.. (1982). Long-term effect of 2-deoxy-2-fluoroglucose on maintenance in culture of the neonatal B cell of rat. Biochemical and Biophysical Research Communications. 108(1). 279–285. 8 indexed citations
20.
Nakao, Keiko, et al.. (1980). Effect of alloxan on the incorporation of D-glucose into cultured pancreatic endocrine cells of the rat.. Chemical and Pharmaceutical Bulletin. 28(3). 837–842. 7 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by M. Elizabeth Forbes Breakdown of academic impact, for papers by Pierre J. Fabre Breakdown of academic impact, for papers by Stavros Malas Breakdown of academic impact, for papers by Anthony P. Wiemelt Breakdown of academic impact, for papers by R. Michael Henke Breakdown of academic impact, for papers by F. Besnard Breakdown of academic impact, for papers by Cristina Zibetti Breakdown of academic impact, for papers by Wolfgang Brysch Breakdown of academic impact, for papers by Adriano Flora Breakdown of academic impact, for papers by Federico Cremisi
Rankless by CCL
2026