K. Sakai

1.2k total citations
43 papers, 921 citations indexed

About

K. Sakai is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Surgery. According to data from OpenAlex, K. Sakai has authored 43 papers receiving a total of 921 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pulmonary and Respiratory Medicine, 11 papers in Molecular Biology and 9 papers in Surgery. Recurrent topics in K. Sakai's work include Veterinary Oncology Research (11 papers), Mycotoxins in Agriculture and Food (7 papers) and Cell Adhesion Molecules Research (5 papers). K. Sakai is often cited by papers focused on Veterinary Oncology Research (11 papers), Mycotoxins in Agriculture and Food (7 papers) and Cell Adhesion Molecules Research (5 papers). K. Sakai collaborates with scholars based in Japan, United States and France. K. Sakai's co-authors include Kenji Ishii, Norio Sato, Hiroshi Tsunoda, Makoto Enomoto, Yoshio Ueno, Tomohiro Yonezawa, Yuji Ueno, Shingo Maeda, Michiko Nakajima and Noriko Shimada and has published in prestigious journals such as Physical Review Letters, Applied and Environmental Microbiology and JNCI Journal of the National Cancer Institute.

In The Last Decade

K. Sakai

36 papers receiving 834 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. Sakai Japan 17 332 230 224 184 111 43 921
Jinting Li China 19 241 0.7× 130 0.6× 601 2.7× 134 0.7× 51 0.5× 80 1.1k
Michael A. Kuzyk Canada 17 83 0.3× 120 0.5× 1.0k 4.7× 142 0.8× 81 0.7× 23 1.8k
Imran Ul Haq Pakistan 16 174 0.5× 289 1.3× 273 1.2× 138 0.8× 186 1.7× 87 969
Seiji Murakami Japan 22 94 0.3× 391 1.7× 581 2.6× 112 0.6× 48 0.4× 55 1.7k
Markus Susani Austria 27 338 1.0× 59 0.3× 514 2.3× 25 0.1× 34 0.3× 46 2.5k
Takashi Fujiwara Japan 20 255 0.8× 39 0.2× 480 2.1× 108 0.6× 60 0.5× 66 1.1k
H. H. Hoppe Germany 21 573 1.7× 203 0.9× 654 2.9× 24 0.1× 290 2.6× 85 1.6k
Julien Vignard France 22 382 1.2× 91 0.4× 1.4k 6.0× 317 1.7× 120 1.1× 40 1.9k
Archana Mukherjee India 17 195 0.6× 76 0.3× 221 1.0× 165 0.9× 14 0.1× 108 871

Countries citing papers authored by K. Sakai

Since Specialization
Citations

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

Fields of papers citing papers by K. Sakai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Sakai

This figure shows the co-authorship network connecting the top 25 collaborators of K. Sakai. A scholar is included among the top collaborators of K. Sakai 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 K. Sakai. K. Sakai 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.
Suda, Kenichi, Akira Hamada, Toshio Fujino, et al.. (2025). Efficacy of Conventional and Novel Tyrosine Kinase Inhibitors for Uncommon EGFR Mutations—An In Vitro Study. Cells. 14(17). 1386–1386.
2.
3.
Nishio, Makoto, Takashi Seto, Martin Reck, et al.. (2025). Final Survival Outcomes With Ramucirumab Plus Erlotinib Versus Placebo Plus Erlotinib in Patients With Untreated EGFR-Mutated Metastatic NSCLC: RELAY Japanese Subset. JTO Clinical and Research Reports. 6(6). 100819–100819.
4.
Nagatani, Yoshiaki, Naomi Kiyota, Yu Imamura, et al.. (2024). 426P Trop-2 and Nectin-4 expression and their relationship with tumor immune microenvironment in salivary gland cancer. Annals of Oncology. 35. S1562–S1563.
5.
Sakai, K., et al.. (2024). Effects of trastuzumab emtansine on canine urothelial carcinoma cells in vitro and in vivo. Veterinary and Comparative Oncology. 22(2). 230–238. 1 indexed citations
6.
Sakai, K., James Chambers, Kazuyuki Uchida, et al.. (2022). Dystrophin-deficient muscular dystrophy in a Toy Poodle with a single base pair insertion in exon 45 of the <i>Duchenne muscular dystrophy</i> gene. Journal of Veterinary Medical Science. 84(4). 502–506.
7.
Kaji, Noriyuki, et al.. (2020). Protease-Activated Receptor-2 Is Associated With Adverse Outcomes in Canine Mammary Carcinoma. Veterinary Pathology. 58(1). 53–62. 5 indexed citations
8.
Sakai, K., Shingo Maeda, Kohei Saeki, et al.. (2019). ErbB2 Copy Number Aberration in Canine Urothelial Carcinoma Detected by a Digital Polymerase Chain Reaction Assay. Veterinary Pathology. 57(1). 56–65. 11 indexed citations
9.
Tsuboi, Masaya, K. Sakai, Shingo Maeda, et al.. (2019). Assessment of HER2 Expression in Canine Urothelial Carcinoma of the Urinary Bladder. Veterinary Pathology. 56(3). 369–376. 30 indexed citations
10.
Sakai, K., Shingo Maeda, Kohei Saeki, et al.. (2018). Anti‐tumour effect of lapatinib in canine transitional cell carcinoma cell lines. Veterinary and Comparative Oncology. 16(4). 642–649. 23 indexed citations
11.
Sakai, K., Shingo Maeda, Tomohiro Yonezawa, & Naoaki Matsuki. (2017). Decreased plasma amino acid concentrations in cats with chronic gastrointestinal diseases and their possible contribution in the inflammatory response. Veterinary Immunology and Immunopathology. 195. 1–6. 17 indexed citations
12.
Maeda, Shingo, Masato Tsuboi, K. Sakai, et al.. (2017). Endoscopic Cytology for the Diagnosis of Chronic Enteritis and Intestinal Lymphoma in Dogs. Veterinary Pathology. 54(4). 595–604. 8 indexed citations
13.
Sakai, K., et al.. (2007). The amounts of hydroxyl radicals generated by titanium dioxide and 3.5% hydrogen peroxide under 405-nm diode laser irradiation. Laser Physics. 17(8). 1062–1066. 40 indexed citations
14.
Matsumura, Tomoko, et al.. (1998). [Non-Hodgkin's lymphoma of the spermatic cord: a case report].. PubMed. 44(6). 427–9. 2 indexed citations
15.
Sakai, K., Tomoyuki Kawamoto, S. Taniguchi, et al.. (1986). Expression of Epidermal Growth Factor Receptors on Normal Human Gastric Epithelia and Gastric Carcinomas. JNCI Journal of the National Cancer Institute. 77(5). 1047–52. 134 indexed citations
16.
Sakai, K., et al.. (1973). [Case of spontaneous rupture of the esophagus in a newborn infant].. PubMed. 26(5). 348–53. 1 indexed citations
17.
Ueno, Yoshio, Michiko Nakajima, K. Sakai, et al.. (1973). Comparative Toxicology of Trichothec Mycotoxins: Inhibition of Protein Synthesis in Animal Cells<xref ref-type="fn" rid="fn1"><sup>*</sup></xref>. The Journal of Biochemistry. 74(2). 285–96. 140 indexed citations
18.
Ueno, Yuji, Norio Sato, Kenji Ishii, K. Sakai, & Makoto Enomoto. (1972). Toxicological approaches to the metabolites of Fusaria. V. Neosolaniol, T-2 toxin and butenolide, toxic metabolites of Fusarium sporotrichioides NRRL 3510 and Fusarium poae 3287.. PubMed. 42(5). 461–72. 36 indexed citations
19.
Ueno, Yuji, et al.. (1972). Toxicological approaches to the metabolites of Fusaria. IV. Microbial survey on "bean-hulls poisoning of horses" with the isolation of toxic trichothecenes, neosolaniol and T-2 toxin of Fusarium solani M-1-1.. PubMed. 42(3). 187–203. 67 indexed citations
20.
Ishii, Kenji, K. Sakai, Yoshio Ueno, Hiroshi Tsunoda, & Makoto Enomoto. (1971). Solaniol, a Toxic Metabolite of Fusarium solani. Applied Microbiology. 22(4). 718–720. 15 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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