Tetsuhiro Ogawa
Impact in
- Endocrinology top 10%
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- RNA Research and Splicing
Papers in
-
- RNA and protein synthesis mechanisms 18
- RNA modifications and cancer 7
- RNA Research and Splicing 4
- Genetics 14
- Bacterial Genetics and Biotechnology 13
- Co-authors
- Hiroshi Nagaoka (2 shared papers)Haruhiko Masaki (23 shared papers)Kozo Tomita (3 shared papers)Makoto Hidaka (21 shared papers)Takeshi Uozumi (1 shared paper)Kimitsuna Watanabe (1 shared paper)Takuya Ueda (3 shared papers)K. Watanabe (2 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (5 papers)The Journal of Biochemistry (3 papers)Soil Science & Plant Nutrition (3 papers)Microbiology (3 papers)Amino Acids (2 papers)
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Tetsuhiro Ogawa
45 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 98
- Endocrinology 56
- Molecular Biology 666
- Genetics 218
- Biochemistry 50
- Artificial Intelligence 215
Countries citing papers authored by Tetsuhiro Ogawa
This map shows the geographic impact of Tetsuhiro Ogawa'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 Tetsuhiro Ogawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsuhiro Ogawa more than expected).
Fields of papers citing papers by Tetsuhiro Ogawa
This network shows the impact of papers produced by Tetsuhiro Ogawa. 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 Tetsuhiro Ogawa. The network helps show where Tetsuhiro Ogawa may publish in the future.
Co-authors
The 25 scholars most cited alongside Tetsuhiro Ogawa, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 190 | |
| 2 | 2000 | 150 | |
| 3 | 1999 | 149 | |
| 4 | 2002 | 64 | |
| 5 | 1994 | 52 | |
| 6 | 2015 | 50 | |
| 7 | 2004 | 43 | |
| 8 | 2010 | 38 | |
| 9 | 2006 | 32 | |
| 10 | 2006 | 31 | |
| 11 | 2012 | 30 | |
| 12 | 2006 | 30 | |
| 13 | 2003 | 25 | |
| 14 | 2018 | 23 | |
| 15 | 2009 | 22 | |
| 16 | 2013 | 22 | |
| 17 | 2010 | 20 | |
| 18 | 2004 | 17 | |
| 19 | 2015 | 17 | |
| 20 | 2005 | 15 |
About Tetsuhiro Ogawa
Tetsuhiro Ogawa is a scholar working on Molecular Biology, Genetics, Ecology, Plant Science and Biochemistry, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (18 papers), Bacterial Genetics and Biotechnology (13 papers), Bacteriophages and microbial interactions (7 papers), RNA modifications and cancer (7 papers), Amino Acid Enzymes and Metabolism (6 papers), Enzyme Structure and Function (5 papers), Legume Nitrogen Fixing Symbiosis (5 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Endocrinology (56 citations), Molecular Biology (666 citations), Genetics (218 citations), Biochemistry (50 citations) and Artificial Intelligence (215 citations). Tetsuhiro Ogawa has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Hiroshi Nagaoka, Haruhiko Masaki, Kozo Tomita, Makoto Hidaka, Takeshi Uozumi, Kimitsuna Watanabe, Takuya Ueda, K. Watanabe, T Uozumi and Masahito Hayashi. Their work appears in journals such as Biochemical and Biophysical Research Communications, The Journal of Biochemistry, Soil Science & Plant Nutrition, Microbiology and Amino Acids.
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.