Kenji Nagao

1.1k total citations
45 papers, 842 citations indexed

About

Kenji Nagao is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kenji Nagao has authored 45 papers receiving a total of 842 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 13 papers in Oncology and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kenji Nagao's work include Pluripotent Stem Cells Research (4 papers), CRISPR and Genetic Engineering (3 papers) and Cancer-related Molecular Pathways (3 papers). Kenji Nagao is often cited by papers focused on Pluripotent Stem Cells Research (4 papers), CRISPR and Genetic Engineering (3 papers) and Cancer-related Molecular Pathways (3 papers). Kenji Nagao collaborates with scholars based in Japan, United States and India. Kenji Nagao's co-authors include Kenjiro Yokoro, Stuart A. Aaronson, Atsushi Kunisato, Isao Ishida, Mitsuo Nishikawa, Yoshimasa Inagaki, Masatake Osawa, Itaru Urakawa, Miho Inoue‐Murayama and Hiroshi Makino and has published in prestigious journals such as Science, Journal of Biological Chemistry and The Journal of Cell Biology.

In The Last Decade

Kenji Nagao

42 papers receiving 801 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kenji Nagao Japan 15 478 192 157 126 105 45 842
Alan R. Brooks United States 10 594 1.2× 177 0.9× 162 1.0× 241 1.9× 69 0.7× 19 975
Arati Khanna‐Gupta United States 19 802 1.7× 181 0.9× 309 2.0× 189 1.5× 61 0.6× 41 1.2k
Thomas Grussenmeyer Germany 15 360 0.8× 166 0.9× 201 1.3× 99 0.8× 38 0.4× 29 690
V P Sukhatme United States 12 722 1.5× 139 0.7× 132 0.8× 156 1.2× 108 1.0× 15 975
Tetsuo Kojima Japan 11 326 0.7× 117 0.6× 137 0.9× 48 0.4× 113 1.1× 28 818
Karen E. Strunk United States 10 339 0.7× 219 1.1× 215 1.4× 59 0.5× 51 0.5× 11 657
Marie-Claude Labastie France 12 495 1.0× 64 0.3× 156 1.0× 87 0.7× 80 0.8× 17 746
Jeffrey R. Shearstone United States 15 644 1.3× 85 0.4× 133 0.8× 107 0.8× 75 0.7× 27 1.0k
Jay Boltax United States 16 706 1.5× 276 1.4× 188 1.2× 219 1.7× 210 2.0× 18 1.1k
Zhongqi Ge United States 17 570 1.2× 310 1.6× 230 1.5× 124 1.0× 113 1.1× 36 1.0k

Countries citing papers authored by Kenji Nagao

Since Specialization
Citations

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

Fields of papers citing papers by Kenji Nagao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenji Nagao

This figure shows the co-authorship network connecting the top 25 collaborators of Kenji Nagao. A scholar is included among the top collaborators of Kenji Nagao 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 Kenji Nagao. Kenji Nagao 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
2.
Kondo, Eiji, et al.. (2023). Paclitaxel‐carboplatin plus bevacizumab therapy for advanced neuroendocrine carcinoma of the uterine cervix: A retrospective case series. Journal of obstetrics and gynaecology research. 49(12). 2868–2874.
3.
Hirano, Ikuo, Kiyoshí Shimizu, Kengo Yamawaki, et al.. (2021). Blockade of the interaction between BMP9 and endoglin on erythroid progenitors promotes erythropoiesis in mice. Genes to Cells. 26(10). 782–797. 2 indexed citations
4.
Kayang, Boniface B., A. Naazie, Kodzue Kinoshita, et al.. (2015). Genetic diversity of Ghanaian local chicken populations based on microsatellite and mitochondrial DNA analysis. Bulletin of animal health and production in Africa. 63(4). 219–234. 3 indexed citations
5.
Abe, Hideaki, Kenji Nagao, & Miho Inoue‐Murayama. (2013). Short Copy Number Variations Potentially Associated with Tonic Immobility Responses in Newly Hatched Chicks. PLoS ONE. 8(11). e80205–e80205. 8 indexed citations
6.
Kunisato, Atsushi, et al.. (2010). Direct Generation of Induced Pluripotent Stem Cells from Human Nonmobilized Blood. Stem Cells and Development. 20(1). 159–168. 44 indexed citations
7.
Kunisato, Atsushi, et al.. (2009). Generation of Induced Pluripotent Stem Cells by Efficient Reprogramming of Adult Bone Marrow Cells. Stem Cells and Development. 19(2). 229–238. 52 indexed citations
8.
Naito, Yohei, Yuichi Kasai, Akihiko Matsumine, et al.. (2009). Lumbar Metastasis of Choriocarcinoma. Spine. 34(15). E538–E543. 11 indexed citations
9.
Hong, Kyung‐Won, Miho Inoue‐Murayama, Akihiro Nakamura, Kenji Nagao, & Shin‐ichi Ito. (2008). Characterization of two microsatellites in chicken monoamine oxidase A. Animal Science Journal. 79(5). 641–643. 5 indexed citations
10.
Negishi, Masamitsu, Atsunori Saraya, Satoru Miyagi, et al.. (2006). Bmi1 cooperates with Dnmt1-associated protein 1 in gene silencing. Biochemical and Biophysical Research Communications. 353(4). 992–998. 53 indexed citations
11.
Okumura, Akiko, Kiyotaka Hatsuzawa, Taku Tamura, et al.. (2005). Involvement of a Novel Q-SNARE, D12, in Quality Control of the Endomembrane System. Journal of Biological Chemistry. 281(7). 4495–4506. 26 indexed citations
12.
Masuhara, Masaaki, Kenji Nagao, Mitsuo Nishikawa, Tohru Kimura, & Toru Nakano. (2003). Enhanced degradation of MDM2 by a nuclear envelope component, mouse germ cell-less. Biochemical and Biophysical Research Communications. 308(4). 927–932. 5 indexed citations
13.
Nagao, Kenji, et al.. (2001). Okadaic Acid Remarkably Suppresses Testosterone Production in Murine Leydig Cells.. JOURNAL OF HEALTH SCIENCE. 47(1). 60–64. 1 indexed citations
14.
Nagao, Kenji, Yoko Yamada, Taku Yamamoto, et al.. (2001). Molecular Cloning of Delta-4, a New Mouse and Human Notch Ligand. The Journal of Biochemistry. 129(1). 27–34. 32 indexed citations
15.
Nishimura, Reiki, Kenji Nagao, Haruhiko Miyayama, et al.. (1998). [Prognostic effect of PyNPase (pyrimidine nucleoside phosphorylase) activity in breast cancer].. PubMed. 25(1). 59–66. 1 indexed citations
16.
Masuda, N, M. Fukuoka, Akihisa Fujita, et al.. (1998). A phase II trial of combination of CPT-11 and cisplatin for advanced non-small-cell lung cancer. British Journal of Cancer. 78(2). 251–256. 60 indexed citations
17.
Nishimura, Reiki, Kenji Nagao, Masakazu Matsuda, et al.. (1997). Predictive value of serum medroxyprogesterone acetate concentration for response in advanced or recurrent breast cancer. European Journal of Cancer. 33(9). 1407–1412. 10 indexed citations
18.
Takano, Masahiro, et al.. (1983). . Nihon Daicho Komonbyo Gakkai Zasshi. 36(5). 506–517. 1 indexed citations
19.
Nagao, Kenji, et al.. (1978). Relationship Between Organotropism and Leukemogenicity of Type C RNA Viruses as Demonstrated in NIH Swiss Mice Inoculated at Birth With Gross Murine Leukemia Virus2. JNCI Journal of the National Cancer Institute. 60(4). 855–859. 5 indexed citations
20.
Yokoro, Kenjiro, et al.. (1977). Chronic toxicity of 2-(2-furyl)-3-(5-nitro-2-furyl) acrylamide (AF-2) in mice, with special reference to carcinogenicity in the forestomach.. PubMed. 68(6). 825–8. 2 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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