Genki Kimura

2.6k total citations
129 papers, 2.2k citations indexed

About

Genki Kimura is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Genki Kimura has authored 129 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 33 papers in Immunology and 27 papers in Oncology. Recurrent topics in Genki Kimura's work include Virus-based gene therapy research (19 papers), Polyomavirus and related diseases (17 papers) and Immune Cell Function and Interaction (13 papers). Genki Kimura is often cited by papers focused on Virus-based gene therapy research (19 papers), Polyomavirus and related diseases (17 papers) and Immune Cell Function and Interaction (13 papers). Genki Kimura collaborates with scholars based in Japan, United Kingdom and United States. Genki Kimura's co-authors include Asao Itagaki, Jesse Summers, Renato Dulbecco, Hideo Shimura, K Nomoto, Hiroki Yoshida, Koji Yamada, Tetsuya Mitsudomi, Yasuo Kizawa and Kazuhiro Ito and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Genki Kimura

125 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Genki Kimura Japan 25 1.1k 643 492 469 239 129 2.2k
Jennifer M. Favaloro Australia 20 1.8k 1.7× 866 1.3× 805 1.6× 400 0.9× 254 1.1× 28 3.2k
Peter T. Lomedico United States 17 1.8k 1.7× 239 0.4× 628 1.3× 890 1.9× 226 0.9× 23 3.1k
Patricio Gariglio Mexico 28 1.1k 1.0× 497 0.8× 248 0.5× 251 0.5× 356 1.5× 86 1.9k
Gustavo V. Mallo France 22 1.2k 1.1× 512 0.8× 553 1.1× 318 0.7× 242 1.0× 36 2.5k
Hideharu Taira Japan 24 1.0k 1.0× 338 0.5× 270 0.5× 627 1.3× 282 1.2× 77 2.1k
Robert M. Crowl United States 22 1.2k 1.1× 256 0.4× 383 0.8× 421 0.9× 130 0.5× 31 2.2k
Ryu Imamura Japan 26 1.9k 1.8× 240 0.4× 587 1.2× 683 1.5× 228 1.0× 50 2.6k
Lloyd W. Law United States 27 736 0.7× 516 0.8× 478 1.0× 786 1.7× 193 0.8× 84 2.0k
Kathryn Graham Canada 32 988 0.9× 729 1.1× 567 1.2× 431 0.9× 740 3.1× 45 2.8k
Ramareddy V. Guntaka United States 25 1.4k 1.3× 208 0.3× 543 1.1× 244 0.5× 326 1.4× 68 2.4k

Countries citing papers authored by Genki Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Genki Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Genki Kimura

This figure shows the co-authorship network connecting the top 25 collaborators of Genki Kimura. A scholar is included among the top collaborators of Genki Kimura 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 Genki Kimura. Genki Kimura 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.
Kimura, Genki, et al.. (2024). Airway inflammation in a novel mouse model of asthma-COPD overlap induced by co-exposure to papain and tobacco smoke. Biochemical and Biophysical Research Communications. 709. 149831–149831. 1 indexed citations
2.
3.
Mercado, Nicolas, Yasuo Kizawa, Genki Kimura, et al.. (2014). Activation of Transcription Factor Nrf2 Signalling by the Sphingosine Kinase Inhibitor SKI-II Is Mediated by the Formation of Keap1 Dimers. PLoS ONE. 9(2). e88168–e88168. 22 indexed citations
4.
Kimura, Genki, Yuji Watanabe, Takashi Masuko, et al.. (2013). Toll-like Receptor 3 Stimulation Causes Corticosteroid-Refractory Airway Neutrophilia and Hyperresponsiveness in Mice. CHEST Journal. 144(1). 99–105. 43 indexed citations
5.
Chen, Quanjiao, Hiroki Yoshida, Hiroaki Takimoto, et al.. (2000). Ineffective control of murine cytomegalovirus by IE1-specific cytotoxic T lymphocytes during protracted infection in the lung. Archives of Virology. 145(7). 1291–1304. 2 indexed citations
6.
Harada, Mamoru, et al.. (1998). Heat shock proteins and the antitumor T cell response. Biotherapy. 10(3). 229–235. 22 indexed citations
7.
Kimura, Genki, et al.. (1996). An Amino Acid Change in Novel Protein D123 Is Responsible for Temperature-Sensitive G1-Phase Arrest in a Mutant of Rat Fibroblast Line 3Y1. Experimental Cell Research. 223(2). 242–249. 16 indexed citations
8.
Harada, Mamoru, Shin Kurosawa, Osamu Ito, et al.. (1995). The Antitumor Activity Induced by the in Vivo Administration of Activated B Cells Bound to Anti-CD3 Monoclonal Antibody. Cellular Immunology. 161(1). 132–137. 12 indexed citations
9.
Tanaka, Kazuo, et al.. (1993). Extensive apoptosis occurring in the thymus during accelerated rejection of cardiac allografts in presensitized rats.. The Journal of Immunology. 151(2). 748–758. 10 indexed citations
10.
Yano, Tokujiro, Ichiro Yoshino, Kosei Yasumoto, et al.. (1991). Development of a new culture system for human lymphokine-activated killer cells: Comparison with a conventional static culture method. Cytotechnology. 7(2). 75–83.
11.
Ishibashi, Yasumasa, Ryoji Watanabe, Toshitatsu Nogita, et al.. (1991). Abnormal Gene Expressions of Stroma Cells in Patients with Tuberous Sclerosis. Annals of the New York Academy of Sciences. 615(1). 228–242. 5 indexed citations
12.
Ogura, Hisayuki, Shinpei Matsuhashi, Kensuke Joh, et al.. (1990). Selective syncytium formation by murine leukemia virus in rat 3Y1 fibroblasts transformed by adenovirus type 12 or its E1A gene. Archives of Virology. 115(1-2). 123–126. 3 indexed citations
13.
Koga, Yasuhiro, et al.. (1990). Human T‐cell leukemia virus type‐I‐infected T‐cell lines scarcely produce p56lck, whether or not they express lck MRNA. International Journal of Cancer. 46(2). 315–319. 8 indexed citations
14.
Kimura, Genki, et al.. (1989). Selective Killing of Transformed Fibroblasts by Combined Treatment with Cycloheximide and Aphidicolin. Japanese Journal of Cancer Research. 80(5). 452–458. 1 indexed citations
15.
16.
Matsuzaki, Akinobu, et al.. (1989). Transient increase in the c-fos mRNA level after change of culture condition from serum absence to serum presence and after cycloheximide addition in rat 3Y1 fibroblasts. Biochemical and Biophysical Research Communications. 159(2). 501–507. 7 indexed citations
17.
Kimura, Genki, et al.. (1988). Serum-dependent regulation of proliferation of cultured rat fibroblasts in G1 and G2 phases. Experimental Cell Research. 174(1). 146–155. 8 indexed citations
18.
Matsuzaki, Akinobu, Kazuko Shiroki, & Genki Kimura. (1988). Suppression of block to entry into S phase in cell-cycle mutants of rat 3Y1 fibroblasts after transformation by adenovirus type 12. Virology. 165(1). 57–65. 5 indexed citations
19.
Kimura, Genki, et al.. (1988). Commitment to Ploidy Conversion of 3y1 Cells During Metaphase Arrest By Colcemid. Cell Proliferation. 21(1). 21–31. 1 indexed citations
20.
Kimura, Genki, et al.. (1967). Depression of acquired resistance against herpes simplex virus infection in neonatally thymecto-mized mice. (Brief report).. Archives of Virology. 21. 1 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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