J E Ikeda
Impact in
- Genetics top 5%
- Virus-based gene therapy research
- Bacterial Genetics and Biotechnology
-
- DNA and Nucleic Acid Chemistry
- DNA Repair Mechanisms
- Viral Infectious Diseases and Gene Expression in Insects
- Cancer therapeutics and mechanisms
- CRISPR and Genetic Engineering
Papers in
-
- DNA and Nucleic Acid Chemistry 6
- DNA Repair Mechanisms 2
- Cancer therapeutics and mechanisms 2
- Genetics 6
- Virus-based gene therapy research 4
- Animal Genetics and Reproduction 2
- Co-authors
- J Hurwitz (8 shared papers)Toshiki Enomoto (3 shared papers)Arturo Yudelevich (2 shared papers)Jack Lichy (2 shared papers)Kenneth J. Marians (2 shared papers)J Hurwitz (1 shared paper)Samuel L. Schlagman (1 shared paper)Marshall S. Horwitz (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (7 papers)Journal of Biological Chemistry (3 papers)Cold Spring Harbor Symposia on Quantitative Biology (2 papers)Chromosome Research (1 paper)Journal of Medical Genetics (1 paper)
- Partner nations
- United StatesJapanRussia
In The Last Decade
J E Ikeda
16 papers receiving 561 citations
Peers
Comparison fields: 5 of 53
- Genetics 346
- Molecular Biology 567
- Ecology 191
- Infectious Diseases 74
- Biotechnology 34
Countries citing papers authored by J E Ikeda
This map shows the geographic impact of J E Ikeda'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 J E Ikeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J E Ikeda more than expected).
Fields of papers citing papers by J E Ikeda
This network shows the impact of papers produced by J E Ikeda. 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 J E Ikeda. The network helps show where J E Ikeda may publish in the future.
Co-authors
The 25 scholars most cited alongside J E Ikeda, 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 | 1981 | 115 | |
| 2 | 1976 | 106 | |
| 3 | 1977 | 62 | |
| 4 | 1981 | 61 | |
| 5 | 1984 | 55 | |
| 6 | 1979 | 42 | |
| 7 | 1979 | 40 | |
| 8 | 1982 | 39 | |
| 9 | 1986 | 39 | |
| 10 | 1983 | 38 | |
| 11 | 1980 | 29 | |
| 12 | 1977 | 18 | |
| 13 | 1998 | 13 | |
| 14 | 1992 | 11 | |
| 15 | 1990 | 10 | |
| 16 | 1997 | 5 |
About J E Ikeda
J E Ikeda is a scholar working on Molecular Biology, Genetics, Ecology, Plant Science and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 683 indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (6 papers), Bacteriophages and microbial interactions (5 papers), Virus-based gene therapy research (4 papers), DNA Repair Mechanisms (2 papers), Animal Genetics and Reproduction (2 papers), Plant Disease Resistance and Genetics (2 papers), Cancer therapeutics and mechanisms (2 papers) and Genetic Neurodegenerative Diseases (2 papers). The work is most often cited by research in Genetics (346 citations), Molecular Biology (567 citations), Ecology (191 citations), Infectious Diseases (74 citations) and Biotechnology (34 citations). J E Ikeda has collaborated with scholars based in United States, Japan and Russia. Frequent co-authors include J Hurwitz, Toshiki Enomoto, Arturo Yudelevich, Jack Lichy, Kenneth J. Marians, J Hurwitz, Samuel L. Schlagman, Marshall S. Horwitz, Rafael Vicuña and J. Hurwitz. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Cold Spring Harbor Symposia on Quantitative Biology, Chromosome Research and Journal of Medical Genetics.
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.