Kaoru Nishiyama
- Molecular Biology top 10%
- Cell Biology top 10%
- Cellular and Molecular Neuroscience top 10%
- Physiology
- Pediatrics, Perinatology and Child Health top 10%
- Co-authors
- Yasutomi NishizukaHirohei YamamuraAkira KishimotoHiroyuki NomuraHiroyuki NakanishiYoshimi TakaiAkira KumonTaku Shirakawa
- Topics
- Neonatal Health and Biochemistry (8 papers)Protein Kinase Regulation and GTPase Signaling (4 papers)Lung Cancer Treatments and Mutations (4 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaBiochemistry
- Partner nations
- JapanMalaysiaPhilippines
In The Last Decade
Kaoru Nishiyama
29 papers receiving 996 citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 710
- Cell Biology 198
- Cellular and Molecular Neuroscience 139
- Physiology 131
- Pediatrics, Perinatology and Child Health 120
Countries citing papers authored by Kaoru Nishiyama
This map shows the geographic impact of Kaoru Nishiyama'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 Kaoru Nishiyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaoru Nishiyama more than expected).
Fields of papers citing papers by Kaoru Nishiyama
This network shows the impact of papers produced by Kaoru Nishiyama. 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 Kaoru Nishiyama. The network helps show where Kaoru Nishiyama may publish in the future.
Co-authorship network of co-authors of Kaoru Nishiyama
This figure shows the co-authorship network connecting the top 25 collaborators of Kaoru Nishiyama. A scholar is included among the top collaborators of Kaoru Nishiyama 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 Kaoru Nishiyama. Kaoru Nishiyama 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 | 4 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 26 | |
| 8 | 52 | |
| 9 | 13 | |
| 10 | 8 | |
| 11 | 7 | |
| 12 | 0 | |
| 13 | 18 | |
| 14 | 15 | |
| 15 | 16 | |
| 16 | 9 | |
| 17 | 31 | |
| 18 | 64 | |
| 19 | 129 | |
| 20 | 30 |
About Kaoru Nishiyama
Kaoru Nishiyama is a scholar working on Pediatrics, Perinatology and Child Health, Genetics and Nephrology, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neonatal Health and Biochemistry (8 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and Lung Cancer Treatments and Mutations (4 papers). The work is most often cited by research in Cell Biology (198 citations), Molecular Biology (710 citations) and Cellular and Molecular Neuroscience (139 citations). Kaoru Nishiyama has collaborated with scholars based in Japan, Malaysia and Philippines. Frequent co-authors include Yasutomi Nishizuka, Hirohei Yamamura, Akira Kishimoto, Hiroyuki Nomura, Hiroyuki Nakanishi, Yoshimi Takai, Akira Kumon, Taku Shirakawa, Masafumi Matsuo and Masatoshi Inoue. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Biochemistry.
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.