J E Ikeda
Impact in
- Genetics top 10%
- Virus-based gene therapy research
- Bacterial Genetics and Biotechnology
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- DNA and Nucleic Acid Chemistry
- DNA Repair Mechanisms
- Viral Infectious Diseases and Gene Expression in Insects
- Cancer therapeutics and mechanisms
- Plant tissue culture and regeneration
Papers in
- Ecology 5
- Bacteriophages and microbial interactions 5
-
- DNA and Nucleic Acid Chemistry 5
- Cancer therapeutics and mechanisms 2
- Co-authors
- J Hurwitz (6 shared papers)Toshiki Enomoto (3 shared papers)Arturo Yudelevich (2 shared papers)Jack H. Lichy (1 shared paper)Jerard Hurwitz (1 shared paper)Kenneth J. Marians (1 shared paper)Samuel L. Schlagman (1 shared paper)J. Hurwitz (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (7 papers)Journal of Biological Chemistry (3 papers)Neurology (1 paper)Chromosome Research (1 paper)Journal of Medical Genetics (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
J E Ikeda
14 papers receiving 494 citations
Peers
Comparison fields: 5 of 50
- Genetics 292
- Molecular Biology 503
- Ecology 171
- Biotechnology 34
- Infectious Diseases 65
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 | 108 | |
| 3 | 1977 | 63 | |
| 4 | 1981 | 62 | |
| 5 | 1984 | 54 | |
| 6 | 1979 | 41 | |
| 7 | 1986 | 38 | |
| 8 | 1982 | 37 | |
| 9 | 1980 | 30 | |
| 10 | 1977 | 19 | |
| 11 | 1998 | 13 | |
| 12 | 1990 | 12 | |
| 13 | 1992 | 11 | |
| 14 | 1997 | 5 |
About J E Ikeda
J E Ikeda is a scholar working on Ecology, Molecular Biology, Genetics, Cellular and Molecular Neuroscience and Plant Science, having authored 14 papers that have together received 608 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (5 papers), DNA and Nucleic Acid Chemistry (5 papers), Virus-based gene therapy research (3 papers), Animal Genetics and Reproduction (2 papers), Plant Disease Resistance and Genetics (2 papers), Plant Virus Research Studies (2 papers), Genetic Neurodegenerative Diseases (2 papers) and Cancer therapeutics and mechanisms (2 papers). The work is most often cited by research in Genetics (292 citations), Molecular Biology (503 citations), Ecology (171 citations), Biotechnology (34 citations) and Infectious Diseases (65 citations). J E Ikeda has collaborated with scholars based in United States and Japan. Frequent co-authors include J Hurwitz, Toshiki Enomoto, Arturo Yudelevich, Jack H. Lichy, Jerard Hurwitz, Kenneth J. Marians, Samuel L. Schlagman, J. Hurwitz, Nobuo Shimamoto and Yasuhiro Suzuki. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Neurology, 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.