Shiro Iuchi
Impact in
- Endocrinology top 2%
- Vibrio bacteria research studies
- Genetics top 1%
- Bacterial Genetics and Biotechnology
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 7
- RNA and protein synthesis mechanisms 7
- Protein Structure and Dynamics 4
- Genetics 18
- Bacterial Genetics and Biotechnology 18
- Co-authors
- E. C. C. Lin (19 shared papers)Howard Green (6 shared papers)Haian Fu (2 shared papers)Karen Easley (4 shared papers)Lauren S Weiner (1 shared paper)Stewart T. Cole (2 shared papers)Douglas C. Cameron (1 shared paper)Tadashi Fujiwara (1 shared paper)
- Journals
- Journal of Bacteriology (13 papers)Proceedings of the National Academy of Sciences (8 papers)Molecular Microbiology (3 papers)Differentiation (1 paper)Gene (1 paper)
- Partner nations
- United StatesJapanMexico
In The Last Decade
Shiro Iuchi
46 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 119
- Endocrinology 245
- Genetics 1.2k
- Molecular Biology 2.1k
- Biochemistry 223
- Molecular Medicine 102
Countries citing papers authored by Shiro Iuchi
This map shows the geographic impact of Shiro Iuchi'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 Shiro Iuchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiro Iuchi more than expected).
Fields of papers citing papers by Shiro Iuchi
This network shows the impact of papers produced by Shiro Iuchi. 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 Shiro Iuchi. The network helps show where Shiro Iuchi may publish in the future.
Co-authors
The 25 scholars most cited alongside Shiro Iuchi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1988 | 352 | |
| 2 | 2001 | 334 | |
| 3 | 1990 | 156 | |
| 4 | 1990 | 152 | |
| 5 | 2003 | 137 | |
| 6 | 1993 | 119 | |
| 7 | 1989 | 119 | |
| 8 | 1989 | 115 | |
| 9 | 1993 | 112 | |
| 10 | 1991 | 104 | |
| 11 | 1996 | 103 | |
| 12 | 1987 | 102 | |
| 13 | 1991 | 98 | |
| 14 | 1993 | 89 | |
| 15 | 1992 | 83 | |
| 16 | 1992 | 74 | |
| 17 | 1991 | 69 | |
| 18 | 1994 | 55 | |
| 19 | 1990 | 54 | |
| 20 | 1989 | 53 |
About Shiro Iuchi
Shiro Iuchi is a scholar working on Molecular Biology, Genetics, Endocrinology, Materials Chemistry and Physiology, having authored 47 papers that have together received 2.9k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (18 papers), Microbial Metabolic Engineering and Bioproduction (7 papers), RNA and protein synthesis mechanisms (7 papers), Vibrio bacteria research studies (5 papers), Amino Acid Enzymes and Metabolism (5 papers), Enzyme Structure and Function (5 papers), Protein Structure and Dynamics (4 papers) and Erythrocyte Function and Pathophysiology (4 papers). The work is most often cited by research in Endocrinology (245 citations), Genetics (1.2k citations), Molecular Biology (2.1k citations), Biochemistry (223 citations) and Molecular Medicine (102 citations). Shiro Iuchi has collaborated with scholars based in United States, Japan and Mexico. Frequent co-authors include E. C. C. Lin, Howard Green, Haian Fu, Karen Easley, Lauren S Weiner, Stewart T. Cole, Douglas C. Cameron, Tadashi Fujiwara, Zene Matsuda and Justin Taylor. Their work appears in journals such as Journal of Bacteriology, Proceedings of the National Academy of Sciences, Molecular Microbiology, Differentiation and Gene.
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.