Nobutaka Imamura
- Molecular Biology top 10%
- Pharmacology top 2%
- Organic Chemistry top 5%
- Biotechnology top 2%
- Immunology top 10%
- Co-authors
- Satoshi ŌmuraRyo HoshinaHaruo TanakaHiroshi SanoAtsushi KuramotoShizuko KakinumaMiyuki NishijimaNobuo Ikekawa
- Topics
- Microbial Natural Products and Biosynthesis (28 papers)Protist diversity and phylogeny (11 papers)Acute Myeloid Leukemia Research (10 papers)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Nobutaka Imamura
96 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 107
- Molecular Biology 859
- Pharmacology 549
- Organic Chemistry 484
- Biotechnology 276
- Immunology 269
Countries citing papers authored by Nobutaka Imamura
This map shows the geographic impact of Nobutaka Imamura'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 Nobutaka Imamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nobutaka Imamura more than expected).
Fields of papers citing papers by Nobutaka Imamura
This network shows the impact of papers produced by Nobutaka Imamura. 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 Nobutaka Imamura. The network helps show where Nobutaka Imamura may publish in the future.
Co-authorship network of co-authors of Nobutaka Imamura
This figure shows the co-authorship network connecting the top 25 collaborators of Nobutaka Imamura. A scholar is included among the top collaborators of Nobutaka Imamura 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 Nobutaka Imamura. Nobutaka Imamura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 24 | |
| 3 | 47 | |
| 4 | Intraspecific genetic divergence of Paramecium bursaria and re-construction of the paramecian phylogenetic tree | 24 |
| 5 | 9 | |
| 6 | 7 | |
| 7 | 55 | |
| 8 | 43 | |
| 9 | [Aggressive diffuse lymphoma with malignant pleural effusion expressing c-erbB-2 (neu) oncogene products]. | 1 |
| 10 | 65 | |
| 11 | 1 | |
| 12 | 9 | |
| 13 | 5 | |
| 14 | 4 | |
| 15 | 28 | |
| 16 | 7 | |
| 17 | 4 | |
| 18 | 178 | |
| 19 | Adecypenol, a unique adenosine deaminase inhibitor containing homopurine and cyclopentene rings. Taxonomy, production and enzyme inhibition.:TAXONOMY, PRODUCTION AND ENZYME INHIBITION | 1 |
| 20 | 6 |
About Nobutaka Imamura
Nobutaka Imamura is a scholar working on Pharmacology, Biotechnology and Toxicology, having authored 100 papers that have together received 2.1k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (28 papers), Protist diversity and phylogeny (11 papers) and Acute Myeloid Leukemia Research (10 papers). The work is most often cited by research in Pharmacology (549 citations), Biotechnology (276 citations) and Organic Chemistry (484 citations). Nobutaka Imamura has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Satoshi Ōmura, Ryo Hoshina, Haruo Tanaka, Hiroshi Sano, Atsushi Kuramoto, Shizuko Kakinuma, Miyuki Nishijima, Nobuo Ikekawa, Kentaro Takada and Hiroki Kajihara. Their work appears in journals such as Journal of the American Chemical Society, Cancer and Journal of Medicinal Chemistry.
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.