Hideji Yoshida
Impact in
- Genetics top 5%
- Bacterial Genetics and Biotechnology
- Endocrinology top 5%
Papers in
-
- RNA and protein synthesis mechanisms 23
- RNA modifications and cancer 15
- Genetics 19
- Bacterial Genetics and Biotechnology 19
- Co-authors
- Akira Wada (18 shared papers)Yasushi Maki (12 shared papers)Chieko Wada (6 shared papers)Masami Ueta (7 shared papers)Tomohiro Shimada (5 shared papers)Akira Ishihama (5 shared papers)Ryosuke L. Ohniwa (2 shared papers)Tomoya Baba (1 shared paper)
- Journals
- Genes to Cells (6 papers)Optics Communications (4 papers)Journal of Applied Physics (4 papers)Journal of Bacteriology (3 papers)The Journal of Biochemistry (2 papers)
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Hideji Yoshida
40 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 88
- Genetics 607
- Endocrinology 86
- Molecular Biology 1.0k
- Ecology 256
- Molecular Medicine 41
Countries citing papers authored by Hideji Yoshida
This map shows the geographic impact of Hideji Yoshida'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 Hideji Yoshida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideji Yoshida more than expected).
Fields of papers citing papers by Hideji Yoshida
This network shows the impact of papers produced by Hideji Yoshida. 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 Hideji Yoshida. The network helps show where Hideji Yoshida may publish in the future.
Co-authors
The 25 scholars most cited alongside Hideji Yoshida, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 122 | |
| 2 | 2005 | 118 | |
| 3 | 2005 | 115 | |
| 4 | 2008 | 92 | |
| 5 | 2014 | 72 | |
| 6 | 2002 | 71 | |
| 7 | 2010 | 54 | |
| 8 | 2013 | 54 | |
| 9 | 2004 | 53 | |
| 10 | 2005 | 48 | |
| 11 | 2002 | 43 | |
| 12 | 2013 | 42 | |
| 13 | 1969 | 36 | |
| 14 | 1966 | 34 | |
| 15 | 2012 | 33 | |
| 16 | 1966 | 32 | |
| 17 | 2009 | 30 | |
| 18 | 1991 | 30 | |
| 19 | 2018 | 28 | |
| 20 | 2011 | 27 |
About Hideji Yoshida
Hideji Yoshida is a scholar working on Molecular Biology, Genetics, Electrical and Electronic Engineering, Ecology and Atomic and Molecular Physics, and Optics, having authored 42 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (23 papers), Bacterial Genetics and Biotechnology (19 papers), RNA modifications and cancer (15 papers), Bacteriophages and microbial interactions (8 papers), Laser Design and Applications (8 papers), Solid State Laser Technologies (4 papers), Laser-induced spectroscopy and plasma (2 papers) and Atomic and Subatomic Physics Research (2 papers). The work is most often cited by research in Genetics (607 citations), Endocrinology (86 citations), Molecular Biology (1.0k citations), Ecology (256 citations) and Molecular Medicine (41 citations). Hideji Yoshida has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Akira Wada, Yasushi Maki, Chieko Wada, Masami Ueta, Tomohiro Shimada, Akira Ishihama, Ryosuke L. Ohniwa, Tomoya Baba, Hirotada Mori and Akiko Sakai. Their work appears in journals such as Genes to Cells, Optics Communications, Journal of Applied Physics, Journal of Bacteriology and The Journal of Biochemistry.
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.