Teppei Morita
Impact in
Papers in
-
- RNA and protein synthesis mechanisms 22
- RNA Research and Splicing 4
- RNA modifications and cancer 3
- CRISPR and Genetic Engineering 2
- Genetics 19
- Bacterial Genetics and Biotechnology 19
- Co-authors
- Hiroji Aiba (22 shared papers)Hiroshi Kawamoto (3 shared papers)Toshifumi Inada (4 shared papers)H Ishikawa (2 shared papers)Yoshiki Ikeda (1 shared paper)Yuya Tanaka (1 shared paper)Ayumi Shimizu (1 shared paper)Susan Gottesman (2 shared papers)
- Journals
- Molecular Microbiology (6 papers)RNA (4 papers)Proceedings of the National Academy of Sciences (3 papers)Genes & Development (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Teppei Morita
29 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 74
- Genetics 1.2k
- Ecology 723
- Endocrinology 143
- Molecular Biology 1.5k
- Molecular Medicine 82
Countries citing papers authored by Teppei Morita
This map shows the geographic impact of Teppei Morita'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 Teppei Morita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teppei Morita more than expected).
Fields of papers citing papers by Teppei Morita
This network shows the impact of papers produced by Teppei Morita. 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 Teppei Morita. The network helps show where Teppei Morita may publish in the future.
Co-authors
The 25 scholars most cited alongside Teppei Morita, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 374 | |
| 2 | 2006 | 197 | |
| 3 | 2011 | 157 | |
| 4 | 2004 | 145 | |
| 5 | 2006 | 129 | |
| 6 | 2003 | 120 | |
| 7 | 2005 | 105 | |
| 8 | 2012 | 102 | |
| 9 | 2010 | 102 | |
| 10 | 2008 | 66 | |
| 11 | 2019 | 52 | |
| 12 | 2010 | 50 | |
| 13 | 2008 | 41 | |
| 14 | 2012 | 39 | |
| 15 | 2003 | 27 | |
| 16 | 2015 | 23 | |
| 17 | 2006 | 20 | |
| 18 | 2018 | 19 | |
| 19 | 2017 | 19 | |
| 20 | 2012 | 16 |
About Teppei Morita
Teppei Morita is a scholar working on Molecular Biology, Genetics, Ecology, Materials Chemistry and Pharmacology, having authored 30 papers that have together received 1.9k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (22 papers), Bacterial Genetics and Biotechnology (19 papers), Bacteriophages and microbial interactions (15 papers), RNA Research and Splicing (4 papers), RNA modifications and cancer (3 papers), Enzyme Structure and Function (3 papers), CRISPR and Genetic Engineering (2 papers) and Invertebrate Immune Response Mechanisms (1 paper). The work is most often cited by research in Genetics (1.2k citations), Ecology (723 citations), Endocrinology (143 citations), Molecular Biology (1.5k citations) and Molecular Medicine (82 citations). Teppei Morita has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Hiroji Aiba, Hiroshi Kawamoto, Toshifumi Inada, H Ishikawa, Yoshiki Ikeda, Yuya Tanaka, Ayumi Shimizu, Susan Gottesman, Jiandong Chen and Xia Li. Their work appears in journals such as Molecular Microbiology, RNA, Proceedings of the National Academy of Sciences, Genes & Development and Journal of Biological Chemistry.
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.