Kenji Ikehara
- Molecular Biology top 10%
- Genetics top 5%
- Ecology top 10%
- Astronomy and Astrophysics top 10%
- Materials Chemistry
- Co-authors
- Michael CashelMiklós KálmánHua XiaoSharon ZemelGad GlaserAkiko HiroseEdoardo SarubbiKenneth E. Rudd
- Topics
- RNA and protein synthesis mechanisms (16 papers)Bacterial Genetics and Biotechnology (11 papers)Origins and Evolution of Life (9 papers)
- Partner nations
- JapanUnited StatesHungary
In The Last Decade
Kenji Ikehara
46 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Molecular Biology 951
- Genetics 599
- Ecology 229
- Astronomy and Astrophysics 179
- Materials Chemistry 135
Countries citing papers authored by Kenji Ikehara
This map shows the geographic impact of Kenji Ikehara'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 Kenji Ikehara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenji Ikehara more than expected).
Fields of papers citing papers by Kenji Ikehara
This network shows the impact of papers produced by Kenji Ikehara. 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 Kenji Ikehara. The network helps show where Kenji Ikehara may publish in the future.
Co-authorship network of co-authors of Kenji Ikehara
This figure shows the co-authorship network connecting the top 25 collaborators of Kenji Ikehara. A scholar is included among the top collaborators of Kenji Ikehara 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 Kenji Ikehara. Kenji Ikehara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | Direct Evidence for GC-NSF(a) Hypothesis on Creation of Entirely New Gene/Protein | 0 |
| 4 | 3 | |
| 5 | 17 | |
| 6 | 6 | |
| 7 | The relation between the stop codon reassignment and the specificity of eukaryotic release factor 1 (eRF1) in Blepharisma (第40回日本原生動物学会大会講演要旨) | 1 |
| 8 | 5 | |
| 9 | 8 | |
| 10 | 68 | |
| 11 | 28 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 65 | |
| 15 | 5 | |
| 16 | A POSSIBLE EVOLUTIONARY PATHWAY OF THE GENETIC CODE DEDUCED FROM THE SNS HYPOTHESIS | 4 |
| 17 | SNS hypothesis on the origin of the genetic code | 9 |
| 18 | Residual guanosine 3‘,5‘-bispyrophosphate synthetic activity of relA null mutants can be eliminated by spoT null mutations.breakdown → | 621 |
| 19 | 8 | |
| 20 | 3 |
About Kenji Ikehara
Kenji Ikehara is a scholar working on Biochemistry, Astronomy and Astrophysics and Genetics, having authored 47 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (16 papers), Bacterial Genetics and Biotechnology (11 papers) and Origins and Evolution of Life (9 papers). The work is most often cited by research in Endocrinology (122 citations), Genetics (599 citations) and Molecular Medicine (72 citations). Kenji Ikehara has collaborated with scholars based in Japan, United States and Hungary. Frequent co-authors include Michael Cashel, Miklós Kálmán, Hua Xiao, Sharon Zemel, Gad Glaser, Akiko Hirose, Edoardo Sarubbi, Kenneth E. Rudd, Hiroyasu Utiyama and Michio Kurata. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and FEBS Letters.
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.