Ken-ichiro Kosai

2.8k total citations · 1 hit paper
47 papers, 2.2k citations indexed

About

Ken-ichiro Kosai is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Ken-ichiro Kosai has authored 47 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 18 papers in Genetics and 14 papers in Surgery. Recurrent topics in Ken-ichiro Kosai's work include Virus-based gene therapy research (12 papers), Liver physiology and pathology (10 papers) and RNA Interference and Gene Delivery (6 papers). Ken-ichiro Kosai is often cited by papers focused on Virus-based gene therapy research (12 papers), Liver physiology and pathology (10 papers) and RNA Interference and Gene Delivery (6 papers). Ken-ichiro Kosai collaborates with scholars based in Japan, United States and Mexico. Ken-ichiro Kosai's co-authors include Tomoyuki Takahashi, Hisayoshi Fujiwara, Takako Fujiwara, Satoshi Nagano, Genzou Takemura, Shinya Minatoguchi, Atsuo Ogura, Hidetoshi Hasuwa, Masaru Okabe and Shuichi Yamada and has published in prestigious journals such as Science, Circulation and Journal of Clinical Investigation.

In The Last Decade

Ken-ichiro Kosai

46 papers receiving 2.1k citations

Hit Papers

Requirement of CD9 on the Egg Plasma Membrane for Fertili... 2000 2026 2008 2017 2000 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Requirement of CD9 on the Egg Plasma Membrane for Fertilization
    2000 547 citations Kenji Miyado, Gen Yamada et al. Science profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ken-ichiro Kosai Japan 23 1.1k 466 415 411 257 47 2.2k
Spiro Getsios United States 37 1.9k 1.8× 259 0.6× 195 0.5× 137 0.3× 389 1.5× 70 4.0k
Neil M. Wolfman United States 18 3.1k 3.0× 591 1.3× 587 1.4× 370 0.9× 225 0.9× 25 4.6k
Ralf Zimbelmann Germany 24 1.8k 1.7× 211 0.5× 157 0.4× 109 0.3× 148 0.6× 33 3.0k
Caecilia Kuhn Germany 25 1.1k 1.0× 133 0.3× 134 0.3× 163 0.4× 214 0.8× 33 1.9k
Zhen‐Ao Zhao China 25 1.7k 1.6× 226 0.5× 339 0.8× 201 0.5× 73 0.3× 58 2.6k
Ralf Dressel Germany 32 2.5k 2.3× 440 0.9× 513 1.2× 95 0.2× 387 1.5× 107 4.1k
Shanna D. Maika United States 13 1.1k 1.0× 544 1.2× 287 0.7× 72 0.2× 93 0.4× 17 2.4k
Ronald J. Diebold United States 11 1.7k 1.6× 373 0.8× 265 0.6× 192 0.5× 608 2.4× 11 3.3k
Maryse Delehedde France 29 1.1k 1.1× 244 0.5× 524 1.3× 54 0.1× 313 1.2× 60 2.5k
Masato Morikawa Japan 23 2.1k 2.0× 202 0.4× 267 0.6× 151 0.4× 745 2.9× 33 3.2k

Countries citing papers authored by Ken-ichiro Kosai

Since Specialization
Citations

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

Fields of papers citing papers by Ken-ichiro Kosai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ken-ichiro Kosai. 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 Ken-ichiro Kosai. The network helps show where Ken-ichiro Kosai may publish in the future.

Co-authorship network of co-authors of Ken-ichiro Kosai

This figure shows the co-authorship network connecting the top 25 collaborators of Ken-ichiro Kosai. A scholar is included among the top collaborators of Ken-ichiro Kosai 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 Ken-ichiro Kosai. Ken-ichiro Kosai 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.
Mitsui, Kaoru, et al.. (2021). Optimization of adenoviral gene transfer in human pluripotent stem cells. Biochemical and Biophysical Research Communications. 541. 78–83. 2 indexed citations
2.
Suzuki, Shinsuke, Kimiharu Uozumi, Makoto Yoshimitsu, et al.. (2019). A survivin-responsive, conditionally replicating adenovirus induces potent cytocidal effects in adult T-cell leukemia/lymphoma. BMC Cancer. 19(1). 516–516. 7 indexed citations
3.
Hara, Munetsugu, Tomoyuki Takahashi, Sachiyo Igata, et al.. (2015). Disturbance of cardiac gene expression and cardiomyocyte structure predisposes Mecp2-null mice to arrhythmias. Scientific Reports. 5(1). 11204–11204. 27 indexed citations
4.
Mitsui, Kaoru, et al.. (2015). Conditionally replicating adenovirus prevents pluripotent stem cell–derived teratoma by specifically eliminating undifferentiated cells. Molecular Therapy — Methods & Clinical Development. 2. 15026–15026. 14 indexed citations
5.
Yuge, Kentaro, Tomoyuki Takahashi, Ngin Cin Khai, et al.. (2014). Intramuscular injection of adenoviral hepatocyte growth factor at a distal site ameliorates dextran sodium sulfate-induced colitis in mice. International Journal of Molecular Medicine. 33(5). 1064–1074. 12 indexed citations
6.
Okabe, Yasunori, et al.. (2012). Alterations of Gene Expression and Glutamate Clearance in Astrocytes Derived from an MeCP2-Null Mouse Model of Rett Syndrome. PLoS ONE. 7(4). e35354–e35354. 73 indexed citations
7.
Murakami, Kenichi, Tatsuru Kaji, Hiroshi Matsufuji, et al.. (2011). Therapeutic effects of vitamin A on experimental cholestatic rats with hepatic fibrosis. Pediatric Surgery International. 27(8). 863–870. 22 indexed citations
8.
Miyata, Shusaku, Genzou Takemura, Ken-ichiro Kosai, et al.. (2009). Anti-Fas Gene Therapy Prevents Doxorubicin-Induced Acute Cardiotoxicity through Mechanisms Independent of Apoptosis. American Journal Of Pathology. 176(2). 687–698. 41 indexed citations
9.
Okada, Hideshi, Genzou Takemura, Ken-ichiro Kosai, et al.. (2009). Combined therapy with cardioprotective cytokine administration and antiapoptotic gene transfer in postinfarction heart failure. American Journal of Physiology-Heart and Circulatory Physiology. 296(3). H616–H626. 12 indexed citations
10.
Esaki, Masayasu, Hisayoshi Fujiwara, Genzou Takemura, et al.. (2007). PJ-158 Cationized Gelatin Delivery of a Plasmid Encoding Soluble Fas Mitigates Postinfarction Left Ventricular Remodeling(Acute myocardial infarction, basic-2, The 71st Annual Scientific Meeting of the Japanese Circulation Society). Japanese Circulation Journal-english Edition. 71. 511. 3 indexed citations
11.
Esaki, Masayasu, Genzou Takemura, Ken-ichiro Kosai, et al.. (2007). Treatment with an adenoviral vector encoding hepatocyte growth factor mitigates established cardiac dysfunction in doxorubicin-induced cardiomyopathy. American Journal of Physiology-Heart and Circulatory Physiology. 294(2). H1048–H1057. 20 indexed citations
12.
Murofushi, Yoshiteru, Satoshi Nagano, Tomoyuki Takahashi, et al.. (2006). Cell cycle-specific changes in hTERT promoter activity in normal and cancerous cells in adenoviral gene therapy: A promising implication of telomerase-dependent targeted cancer gene therapy. International Journal of Oncology. 29(3). 681–8. 33 indexed citations
13.
Tada, Tsuyoshi, John Nguyen, Yasuyuki Hitoshi, et al.. (2005). Diffuse encephaloventriculitis and substantial leukoencephalopathy after intraventricular administration of recombinant adenovirus. Neurological Research. 27(4). 378–386. 8 indexed citations
14.
Takemura, Genzou, Ken-ichiro Kosai, Ichijiro Murata, et al.. (2005). Hepatocyte Growth Factor Gene Therapy Slows Down the Progression of Diabetic Nephropathy in <i>db/db</i> Mice. Nephron Physiology. 102(3-4). p92–p102. 24 indexed citations
15.
Minatoguchi, Shinya, Genzou Takemura, Xuehai Chen, et al.. (2004). PJ-377 Healing Process Acceleration May be Important as a Mechanism of Improvement of Cardiac Function and Remodeling by Post-infarct G-CSF Treatment(Apoptosis/Necrosis/Regeneration 1 (M) : PJ63)(Poster Session (Japanese)). Japanese Circulation Journal-english Edition. 68. 572.
16.
Miyado, Kenji, Gen Yamada, Shuichi Yamada, et al.. (2000). Requirement of CD9 on the Egg Plasma Membrane for Fertilization. Science. 287(5451). 321–324. 547 indexed citations breakdown →
17.
Kosai, Ken-ichiro, Milton J. Finegold, Ching‐Nan Ou, et al.. (1998). Retrovirus-Mediated In Vivo Gene Transfer in the Replicating Liver Using Recombinant Hepatocyte Growth Factor Without Liver Injury or Partial Hepatectomy. Human Gene Therapy. 9(9). 1293–1301. 28 indexed citations
18.
Kage, Masayoshi, Sachiko Ogasawara, Ken-ichiro Kosai, et al.. (1997). Hepatitis C virus RNA present in saliva but absent in breast‐milk of the hepatitis C carrier mother. Journal of Gastroenterology and Hepatology. 12(7). 518–521. 27 indexed citations
19.
Kage, Masayoshi, Ken-ichiro Kosai, Kazuhide Shimamatsu, et al.. (1992). Incidence of Hepatitis D Virus Infection in Japanese Patients with Hepatocellular Carcinoma Immunohistochemical Investigation of the Delta Antigen.. The Kurume Medical Journal. 39(4). 231–234. 2 indexed citations
20.
Kosai, Ken-ichiro, Masayoshi Kage, & Masamichi Kojiro. (1991). Clinicopathological study of liver involvement in cytomegalovirus infection in infant autopsy cases. Journal of Gastroenterology and Hepatology. 6(6). 603–608. 9 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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