K. Sakai
- Plant Science top 10%
- Pulmonary and Respiratory Medicine top 10%
- Molecular Biology
- Oncology
- Cell Biology top 10%
- Co-authors
- Kenji IshiiNorio SatoHiroshi TsunodaMakoto EnomotoYoshio UenoYuji UenoTomohiro YonezawaShingo Maeda
- Topics
- Veterinary Oncology Research (11 papers)Mycotoxins in Agriculture and Food (7 papers)Cell Adhesion Molecules Research (5 papers)
- Journals
- Physical Review LettersApplied and Environmental MicrobiologyJNCI Journal of the National Cancer Institute
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
K. Sakai
36 papers receiving 834 citations
Peers
Comparison fields: 5 of 110
- Plant Science 332
- Pulmonary and Respiratory Medicine 230
- Molecular Biology 224
- Oncology 184
- Cell Biology 111
Countries citing papers authored by K. Sakai
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 30 | |
| 11 | 11 | |
| 12 | 23 | |
| 13 | 17 | |
| 14 | 8 | |
| 15 | 5 | |
| 16 | [Non-Hodgkin's lymphoma of the spermatic cord: a case report]. | 2 |
| 17 | 134 | |
| 18 | [Case of spontaneous rupture of the esophagus in a newborn infant]. | 1 |
| 19 | 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. | 67 |
| 20 | 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. | 36 |
About K. Sakai
K. Sakai is a scholar working on Immunology and Allergy, Pulmonary and Respiratory Medicine and Orthodontics, having authored 43 papers that have together received 921 indexed citations. Recurring topics across this work include Veterinary Oncology Research (11 papers), Mycotoxins in Agriculture and Food (7 papers) and Cell Adhesion Molecules Research (5 papers). The work is most often cited by research in Orthodontics (45 citations), Plant Science (332 citations) and Pulmonary and Respiratory Medicine (230 citations). K. Sakai has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Kenji Ishii, Norio Sato, Hiroshi Tsunoda, Makoto Enomoto, Yoshio Ueno, Yuji Ueno, Tomohiro Yonezawa, Shingo Maeda, Noriko Shimada and Michiko Nakajima. Their work appears in journals such as Physical Review Letters, Applied and Environmental Microbiology and JNCI Journal of the National Cancer Institute.
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.