Naoyuki Tajima
- Molecular Biology
- Renewable Energy, Sustainability and the Environment top 10%
- Oncology
- Ecology top 10%
- Epidemiology
- Co-authors
- Naoki SatoHirofumi YoshikawaYu KanesakiMasahiko IkeuchiSatoru WatanabeMasaharu SuzukiYuh ShiwaTakashi Moriyama
- Topics
- Genomics and Phylogenetic Studies (8 papers)Photosynthetic Processes and Mechanisms (7 papers)Microbial Community Ecology and Physiology (6 papers)
- Cited by
- Statistics and ProbabilityRenewable Energy, Sustainability and the EnvironmentMolecular Biology
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Naoyuki Tajima
41 papers receiving 819 citations
Peers
Comparison fields: 5 of 116
- Molecular Biology 385
- Renewable Energy, Sustainability and the Environment 157
- Oncology 149
- Ecology 126
- Epidemiology 87
Countries citing papers authored by Naoyuki Tajima
This map shows the geographic impact of Naoyuki Tajima'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 Naoyuki Tajima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoyuki Tajima more than expected).
Fields of papers citing papers by Naoyuki Tajima
This network shows the impact of papers produced by Naoyuki Tajima. 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 Naoyuki Tajima. The network helps show where Naoyuki Tajima may publish in the future.
Co-authorship network of co-authors of Naoyuki Tajima
This figure shows the co-authorship network connecting the top 25 collaborators of Naoyuki Tajima. A scholar is included among the top collaborators of Naoyuki Tajima 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 Naoyuki Tajima. Naoyuki Tajima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 9 | |
| 4 | 6 | |
| 5 | 19 | |
| 6 | 52 | |
| 7 | 6 | |
| 8 | 19 | |
| 9 | 18 | |
| 10 | 27 | |
| 11 | 38 | |
| 12 | 10 | |
| 13 | 111 | |
| 14 | 7 | |
| 15 | 38 | |
| 16 | The role of cardiovascular risk factors in postmenopausal hypercholesterolemic women with abnormal fasting glucose: a post hoc analysis of the MEGA Study | 1 |
| 17 | 3 | |
| 18 | 4 | |
| 19 | 46 | |
| 20 | 3 |
About Naoyuki Tajima
Naoyuki Tajima is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Pharmacology, having authored 41 papers that have together received 833 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), Photosynthetic Processes and Mechanisms (7 papers) and Microbial Community Ecology and Physiology (6 papers). The work is most often cited by research in Statistics and Probability (86 citations), Renewable Energy, Sustainability and the Environment (157 citations) and Molecular Biology (385 citations). Naoyuki Tajima has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Naoki Sato, Hirofumi Yoshikawa, Yu Kanesaki, Masahiko Ikeuchi, Satoru Watanabe, Masaharu Suzuki, Yuh Shiwa, Takashi Moriyama, Kouichi Wada and Shusei Sato. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research and Scientific Reports.
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.