Noboru Sueoka
- Molecular Biology top 0.5%
- Genetics top 0.5%
- Ecology top 1%
- Plant Science top 2%
- Renewable Energy, Sustainability and the Environment top 5%
- Co-authors
- Hiroshi YoshikawaTamiko Kano‐SueokaTsai‐Ying ChengK S ChiangJoseph R. KatesTetsuo YamaneWilliam G. QuinnPaul Doty
- Topics
- RNA and protein synthesis mechanisms (42 papers)Bacterial Genetics and Biotechnology (38 papers)DNA and Nucleic Acid Chemistry (29 papers)
- Cited by
- Molecular BiologyGeneticsEcology
- Partner nations
- United StatesJapanFrance
In The Last Decade
Noboru Sueoka
124 papers receiving 7.8k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Molecular Biology 7.1k
- Genetics 2.4k
- Ecology 1.4k
- Plant Science 1.0k
- Renewable Energy, Sustainability and the Environment 597
Countries citing papers authored by Noboru Sueoka
This map shows the geographic impact of Noboru Sueoka'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 Noboru Sueoka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noboru Sueoka more than expected).
Fields of papers citing papers by Noboru Sueoka
This network shows the impact of papers produced by Noboru Sueoka. 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 Noboru Sueoka. The network helps show where Noboru Sueoka may publish in the future.
Co-authorship network of co-authors of Noboru Sueoka
This figure shows the co-authorship network connecting the top 25 collaborators of Noboru Sueoka. A scholar is included among the top collaborators of Noboru Sueoka 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 Noboru Sueoka. Noboru Sueoka 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 | 140 | |
| 3 | 43 | |
| 4 | 13 | |
| 5 | 22 | |
| 6 | 158 | |
| 7 | 29 | |
| 8 | 18 | |
| 9 | 136 | |
| 10 | 20 | |
| 11 | 3 | |
| 12 | 25 | |
| 13 | Molecular cloning of cDNA for bovine glial fibrillary acidic protein and specific localization of its mRNA in astroglial cells | 3 |
| 14 | 60 | |
| 15 | 11 | |
| 16 | 24 | |
| 17 | 16 | |
| 18 | 146 | |
| 19 | 39 | |
| 20 | Variation and heterogeneity of base composition of deoxyribonucleic acids: A compilation of old and new databreakdown → | 359 |
About Noboru Sueoka
Noboru Sueoka is a scholar working on Molecular Biology, Genetics and Ecology, having authored 125 papers that have together received 8.8k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (42 papers), Bacterial Genetics and Biotechnology (38 papers) and DNA and Nucleic Acid Chemistry (29 papers). The work is most often cited by research in Molecular Biology (7.1k citations), Genetics (2.4k citations) and Ecology (1.4k citations). Noboru Sueoka has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Hiroshi Yoshikawa, Tamiko Kano‐Sueoka, Tsai‐Ying Cheng, K S Chiang, Joseph R. Kates, Tetsuo Yamane, William G. Quinn, Paul Doty, Julius Marmur and Jean R. Lobry. Their work appears in journals such as Nature, Science and Cell.
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.