Hajime Tokuda
- Molecular Medicine top 0.2%
- Antibiotic Resistance in Bacteria 25
- Endocrinology top 0.5%
- Escherichia coli research studies 11
- Genetics top 0.5%
- Bacterial Genetics and Biotechnology 73
- Molecular Biology top 2%
- RNA and protein synthesis mechanisms 43
- Lipid Membrane Structure and Behavior 27
- RNA Interference and Gene Delivery 10
- Microbiology top 2%
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- Drug Transport and Resistance Mechanisms 22
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- Bacteriophages and microbial interactions 11
- Co-authors
- Shin‐ichi MatsuyamaShin‐ichiro NaritaKenichi NishiyamaSuguru OkudaTsutomu UnemotoKazuhiro MasudaH. Ronald KabackHiromi Kubota
- Journals
- Journal of Biological Chemistry (21 papers)FEBS Letters (19 papers)Biochemical and Biophysical Research Communications (11 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Hajime Tokuda
129 papers receiving 5.1k citations
Peers
Comparison fields: 5 of 130
- Molecular Medicine 981
- Endocrinology 662
- Genetics 2.6k
- Molecular Biology 3.4k
- Microbiology 208
Countries citing papers authored by Hajime Tokuda
This map shows the geographic impact of Hajime Tokuda'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 Hajime Tokuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hajime Tokuda more than expected).
Fields of papers citing papers by Hajime Tokuda
This network shows the impact of papers produced by Hajime Tokuda. 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 Hajime Tokuda. The network helps show where Hajime Tokuda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hajime Tokuda, 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 | 2012 | 28 | |
| 2 | 2012 | 48 | |
| 3 | 2011 | 38 | |
| 4 | 2011 | 18 | |
| 5 | 2010 | 16 | |
| 6 | 2009 | 2 | |
| 7 | 2009 | 110 | |
| 8 | 2009 | 24 | |
| 9 | Effects of Food Additives on the Antibacterial Activity of Green Tea Extracts | 2008 | 2 |
| 10 | 2007 | 15 | |
| 11 | 2006 | 4 | |
| 12 | 2004 | 220 | |
| 13 | 2003 | 56 | |
| 14 | 2003 | 2 | |
| 15 | 2003 | 23 | |
| 16 | 2002 | 15 | |
| 17 | 2000 | 8 | |
| 18 | 1998 | 82 | |
| 19 | 1998 | 55 | |
| 20 | 1989 | 13 |
About Hajime Tokuda
Hajime Tokuda is a scholar working on Molecular Medicine, Genetics and Endocrinology, having authored 129 papers that have together received 5.4k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (73 papers), RNA and protein synthesis mechanisms (43 papers), Lipid Membrane Structure and Behavior (27 papers), Antibiotic Resistance in Bacteria (25 papers), Drug Transport and Resistance Mechanisms (22 papers), Escherichia coli research studies (11 papers), Bacteriophages and microbial interactions (11 papers) and RNA Interference and Gene Delivery (10 papers). The work is most often cited by research in Molecular Medicine (981 citations), Endocrinology (662 citations) and Genetics (2.6k citations). Hajime Tokuda has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Shin‐ichi Matsuyama, Shin‐ichiro Narita, Kenichi Nishiyama, Suguru Okuda, Tsutomu Unemoto, Kazuhiro Masuda, H. Ronald Kaback, Hiromi Kubota, Naoko Yokota and Takashi Suzuki. Their work appears in journals such as Journal of Biological Chemistry, FEBS Letters, Biochemical and Biophysical Research Communications, Journal of Bacteriology and Bioscience Biotechnology and 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.