Eiji Itagaki
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 2%
- Pharmacology top 0.5%
- Surgery top 10%
- Biochemistry top 5%
- Co-authors
- Shigehiko TaniguchiLowell P. HagerShigeki TakemoriKatsuko SuharaMasato KatagiriHiroshi SatoTadashi GomiMasafumi Iwami
- Topics
- Steroid Chemistry and Biochemistry (15 papers)Pharmacogenetics and Drug Metabolism (12 papers)Hormonal Regulation and Hypertension (8 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Eiji Itagaki
56 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 98
- Molecular Biology 1.1k
- Endocrinology, Diabetes and Metabolism 636
- Pharmacology 455
- Surgery 331
- Biochemistry 170
Countries citing papers authored by Eiji Itagaki
This map shows the geographic impact of Eiji Itagaki'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 Eiji Itagaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eiji Itagaki more than expected).
Fields of papers citing papers by Eiji Itagaki
This network shows the impact of papers produced by Eiji Itagaki. 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 Eiji Itagaki. The network helps show where Eiji Itagaki may publish in the future.
Co-authorship network of co-authors of Eiji Itagaki
This figure shows the co-authorship network connecting the top 25 collaborators of Eiji Itagaki. A scholar is included among the top collaborators of Eiji Itagaki 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 Eiji Itagaki. Eiji Itagaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 119 | |
| 3 | 6 | |
| 4 | 6 | |
| 5 | Steroid Monooxygenase of Rhodococcus Sequencing of rhodochrous: the Genomic DNA, and Hyperexpression, Purification, and Characterization of the Recombinant Enzyme | 29 |
| 6 | 18 | |
| 7 | 3 | |
| 8 | 9 | |
| 9 | 2 | |
| 10 | 31 | |
| 11 | 10 | |
| 12 | 49 | |
| 13 | 11 | |
| 14 | 13 | |
| 15 | 9 | |
| 16 | 27 | |
| 17 | 18 | |
| 18 | 46 | |
| 19 | 26 | |
| 20 | [Analysis of suppressor cell activities in spleen cells from gastric cancer patients and the effect of splenectomy on prognosis of gastric cancer]. | 8 |
About Eiji Itagaki
Eiji Itagaki is a scholar working on Pharmacology, Endocrinology, Diabetes and Metabolism and Biotechnology, having authored 57 papers that have together received 1.9k indexed citations. Recurring topics across this work include Steroid Chemistry and Biochemistry (15 papers), Pharmacogenetics and Drug Metabolism (12 papers) and Hormonal Regulation and Hypertension (8 papers). The work is most often cited by research in Pharmacology (455 citations), Endocrinology, Diabetes and Metabolism (636 citations) and Biochemistry (170 citations). Eiji Itagaki has collaborated with scholars based in Japan and United States. Frequent co-authors include Shigehiko Taniguchi, Lowell P. Hager, Shigeki Takemori, Katsuko Suhara, Masato Katagiri, Hiroshi Sato, Tadashi Gomi, Masafumi Iwami, Kenzi Suzuki and Takeshi Fujita. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism and Cancer.
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.