Ichizo Kobayashi
- Molecular Biology top 2%
- Genetics top 0.5%
- Ecology top 1%
- Plant Science top 2%
- Surgery top 5%
- Co-authors
- Naofumi HandaKohji KusanoNoriko TakahashiIkuo UchiyamaTaku NaitoYoshikazu FurutaFranklin W. StahlIwona Mruk
- Topics
- Bacterial Genetics and Biotechnology (63 papers)DNA Repair Mechanisms (47 papers)CRISPR and Genetic Engineering (29 papers)
- Partner nations
- JapanUnited StatesPoland
In The Last Decade
Ichizo Kobayashi
198 papers receiving 5.7k citations
Peers
Comparison fields: 5 of 147
- Molecular Biology 3.6k
- Genetics 2.2k
- Ecology 1.2k
- Plant Science 955
- Surgery 596
Countries citing papers authored by Ichizo Kobayashi
This map shows the geographic impact of Ichizo Kobayashi'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 Ichizo Kobayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ichizo Kobayashi more than expected).
Fields of papers citing papers by Ichizo Kobayashi
This network shows the impact of papers produced by Ichizo Kobayashi. 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 Ichizo Kobayashi. The network helps show where Ichizo Kobayashi may publish in the future.
Co-authorship network of co-authors of Ichizo Kobayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Ichizo Kobayashi. A scholar is included among the top collaborators of Ichizo Kobayashi 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 Ichizo Kobayashi. Ichizo Kobayashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 72 | |
| 4 | 32 | |
| 5 | 12 | |
| 6 | 18 | |
| 7 | 12 | |
| 8 | 0 | |
| 9 | 4 | |
| 10 | 5 | |
| 11 | 2 | |
| 12 | [Effect of maintenance therapy by H2RA on the recurrence of gastric and duodenal ulcer and on the occurrence of reflux esophagitis, gastric erosions, and duodenal erosions after H. pylori eradication]. | 1 |
| 13 | 4 | |
| 14 | Insertion with Long Target Duplication:A Novel Mechanism for Bacterial Gene Mobility Suggested from Genome Comparison | 4 |
| 15 | 3 | |
| 16 | 11 | |
| 17 | Preparation of SrTiO_3 Thin Films by Metalorganic Chemical Vapor Deposition | 1 |
| 18 | 1 | |
| 19 | 2 | |
| 20 | 1 |
About Ichizo Kobayashi
Ichizo Kobayashi is a scholar working on Genetics, Endocrinology and Molecular Biology, having authored 210 papers that have together received 5.9k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (63 papers), DNA Repair Mechanisms (47 papers) and CRISPR and Genetic Engineering (29 papers). The work is most often cited by research in Endocrinology (484 citations), Genetics (2.2k citations) and Molecular Medicine (364 citations). Ichizo Kobayashi has collaborated with scholars based in Japan, United States and Poland. Frequent co-authors include Naofumi Handa, Kohji Kusano, Noriko Takahashi, Ikuo Uchiyama, Taku Naito, Yoshikazu Furuta, Franklin W. Stahl, Iwona Mruk, Mary M. Stahl and Koji Yahara. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.