Naoyuki Tajima
- Statistics and Probability top 5%
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- Genomics and Phylogenetic Studies 8
- Photosynthetic Processes and Mechanisms 7
- Protist diversity and phylogeny 5
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- HER2/EGFR in Cancer Research 5
- Lung Cancer Research Studies 5
- Ecology top 10%
- Microbial Community Ecology and Physiology 6
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- Monoclonal and Polyclonal Antibodies Research 4
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- Antibiotics Pharmacokinetics and Efficacy 4
- Co-authors
- Naoki SatoHirofumi YoshikawaYu KanesakiMasahiko IkeuchiSatoru WatanabeMasaharu SuzukiYuh ShiwaTakashi Moriyama
- Cited by
- Statistics and ProbabilityRenewable Energy, Sustainability and the EnvironmentMolecular Biology
- Journals
- Journal of Clinical Oncology (2 papers)Cancer Research (1 paper)Scientific Reports (1 paper)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Naoyuki Tajima
41 papers receiving 819 citations
Peers
Comparison fields: 5 of 116
- Statistics and Probability 86
- Renewable Energy, Sustainability and the Environment 157
- Molecular Biology 385
- Oncology 149
- Ecology 126
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
The 25 scholars most cited alongside Naoyuki Tajima, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 9 | |
| 4 | 2022 | 6 | |
| 5 | 2019 | 19 | |
| 6 | 2019 | 52 | |
| 7 | 2018 | 6 | |
| 8 | 2016 | 19 | |
| 9 | 2014 | 18 | |
| 10 | 2014 | 27 | |
| 11 | 2014 | 38 | |
| 12 | 2014 | 10 | |
| 13 | 2011 | 111 | |
| 14 | 2011 | 7 | |
| 15 | 2011 | 38 | |
| 16 | The role of cardiovascular risk factors in postmenopausal hypercholesterolemic women with abnormal fasting glucose: a post hoc analysis of the MEGA Study | 2010 | 1 |
| 17 | 2006 | 3 | |
| 18 | 2005 | 4 | |
| 19 | 1994 | 46 | |
| 20 | 1975 | 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), Microbial Community Ecology and Physiology (6 papers), Protist diversity and phylogeny (5 papers), HER2/EGFR in Cancer Research (5 papers), Lung Cancer Research Studies (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Antibiotics Pharmacokinetics and Efficacy (4 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.