Mikihiko Naito
- Oncology top 0.5%
- Drug Transport and Resistance Mechanisms 58
- Peptidase Inhibition and Analysis 14
- Hematology top 0.5%
- Molecular Biology top 0.5%
- Protein Degradation and Inhibitors 56
- Ubiquitin and proteasome pathways 53
- RNA Interference and Gene Delivery 26
- Cancer therapeutics and mechanisms 24
- Cell death mechanisms and regulation 24
- Neurology top 2%
- Biochemistry top 1%
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- Pharmacological Effects and Toxicity Studies 14
- Co-authors
- Takashi TsuruoTetsuo MashimaNobumichi OhokaNorihito ShibataYuichi HashimotoT TsuruoMinoru IshikawaYosuke Demizu
- Cited by
- OncologyHematologyMolecular Biology
- Journals
- Journal of the American Chemical Society (1 paper)Journal of Biological Chemistry (11 papers)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Mikihiko Naito
220 papers receiving 9.5k citations
Peers
Comparison fields: 5 of 131
- Oncology 3.5k
- Hematology 1.3k
- Molecular Biology 6.6k
- Neurology 482
- Biochemistry 309
Countries citing papers authored by Mikihiko Naito
This map shows the geographic impact of Mikihiko Naito'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 Mikihiko Naito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikihiko Naito more than expected).
Fields of papers citing papers by Mikihiko Naito
This network shows the impact of papers produced by Mikihiko Naito. 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 Mikihiko Naito. The network helps show where Mikihiko Naito may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mikihiko Naito, 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 | 2022 | 3 | |
| 2 | 2021 | 26 | |
| 3 | 2020 | 150 | |
| 4 | 2018 | 5 | |
| 5 | 2018 | 2 | |
| 6 | 2017 | 9 | |
| 7 | 2013 | 112 | |
| 8 | 2009 | 62 | |
| 9 | 2008 | 147 | |
| 10 | 2003 | 92 | |
| 11 | 2000 | 13 | |
| 12 | 2000 | 40 | |
| 13 | 1997 | 159 | |
| 14 | 1997 | 36 | |
| 15 | 1995 | 9 | |
| 16 | 1995 | 138 | |
| 17 | 1994 | 37 | |
| 18 | 1994 | 6 | |
| 19 | 1992 | 10 | |
| 20 | 1992 | 18 |
About Mikihiko Naito
Mikihiko Naito is a scholar working on Oncology, Molecular Biology and Toxicology, having authored 224 papers that have together received 9.7k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (58 papers), Protein Degradation and Inhibitors (56 papers), Ubiquitin and proteasome pathways (53 papers), RNA Interference and Gene Delivery (26 papers), Cancer therapeutics and mechanisms (24 papers), Cell death mechanisms and regulation (24 papers), Pharmacological Effects and Toxicity Studies (14 papers) and Peptidase Inhibition and Analysis (14 papers). The work is most often cited by research in Oncology (3.5k citations), Hematology (1.3k citations) and Molecular Biology (6.6k citations). Mikihiko Naito has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Takashi Tsuruo, Tetsuo Mashima, Nobumichi Ohoka, Norihito Shibata, Yuichi Hashimoto, T Tsuruo, Minoru Ishikawa, Yosuke Demizu, Yukihiro Itoh and Takayuki Hattori. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.