Masahiko Kitayama
- Molecular Biology top 5%
- Plant Science top 1%
- Food Science top 1%
- Biochemistry top 1%
- Renewable Energy, Sustainability and the Environment top 10%
- Co-authors
- Katsumi HashizumeNami Goto‐YamamotoKentaro MoriKazuki SaitoMami YamazakiYasutaka NishiyamaMitsuru YanoMasami Yokota Hirai
- Topics
- Plant Gene Expression Analysis (8 papers)Plant biochemistry and biosynthesis (5 papers)Metabolomics and Mass Spectrometry Studies (4 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Masahiko Kitayama
23 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Molecular Biology 2.0k
- Plant Science 1.4k
- Food Science 621
- Biochemistry 459
- Renewable Energy, Sustainability and the Environment 177
Countries citing papers authored by Masahiko Kitayama
This map shows the geographic impact of Masahiko Kitayama'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 Masahiko Kitayama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masahiko Kitayama more than expected).
Fields of papers citing papers by Masahiko Kitayama
This network shows the impact of papers produced by Masahiko Kitayama. 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 Masahiko Kitayama. The network helps show where Masahiko Kitayama may publish in the future.
Co-authorship network of co-authors of Masahiko Kitayama
This figure shows the co-authorship network connecting the top 25 collaborators of Masahiko Kitayama. A scholar is included among the top collaborators of Masahiko Kitayama 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 Masahiko Kitayama. Masahiko Kitayama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 223 | |
| 3 | 8 | |
| 4 | 67 | |
| 5 | 26 | |
| 6 | 182 | |
| 7 | Loss of anthocyanins in red-wine grape under high temperaturebreakdown → | 651 |
| 8 | 39 | |
| 9 | 1 | |
| 10 | 27 | |
| 11 | 96 | |
| 12 | 50 | |
| 13 | 1 | |
| 14 | Functional genomics by integrated analysis of metabolome and transcriptome of Arabidopsis plants over‐expressing an MYB transcription factorbreakdown → | 761 |
| 15 | 345 | |
| 16 | 44 | |
| 17 | 2 | |
| 18 | 98 | |
| 19 | 49 | |
| 20 | 78 |
About Masahiko Kitayama
Masahiko Kitayama is a scholar working on Molecular Biology, Statistical and Nonlinear Physics and Small Animals, having authored 24 papers that have together received 2.8k indexed citations. Recurring topics across this work include Plant Gene Expression Analysis (8 papers), Plant biochemistry and biosynthesis (5 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). The work is most often cited by research in Tourism, Leisure and Hospitality Management (129 citations), Biochemistry (459 citations) and Plant Science (1.4k citations). Masahiko Kitayama has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Katsumi Hashizume, Nami Goto‐Yamamoto, Kentaro Mori, Kazuki Saito, Mami Yamazaki, Yasutaka Nishiyama, Mitsuru Yano, Masami Yokota Hirai, Dayan B. Goodenowe and Hideki Takahashi. Their work appears in journals such as Journal of Biological Chemistry, Gastroenterology and PLANT PHYSIOLOGY.
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.