Mamoru Hasegawa
- Molecular Biology top 1%
- RNA Interference and Gene Delivery 22
- CRISPR and Genetic Engineering 21
- Pluripotent Stem Cells Research 15
- Virology top 2%
- HIV Research and Treatment 12
- Genetics top 1%
- Virus-based gene therapy research 70
- Genetics top 2%
- Virus-based gene therapy research 70
- Immunology top 5%
- Immunotherapy and Immune Responses 16
-
- Viral gastroenteritis research and epidemiology 15
-
- Microbial Natural Products and Biosynthesis 14
- Co-authors
- Noemi FusakiHiroshi BanKoichi SaekiAkiyo NishiyamaMakoto InoueYoshikazu YonemitsuYoshiyuki NagaiAkihiro Iida
- Cited by
- Molecular BiologyVirologyGenetics
- Journals
- Nature (2 papers)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (2 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Mamoru Hasegawa
193 papers receiving 8.3k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Molecular Biology 5.6k
- Virology 322
- Genetics 1.8k
- Genetics 453
- Immunology 781
Countries citing papers authored by Mamoru Hasegawa
This map shows the geographic impact of Mamoru Hasegawa'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 Mamoru Hasegawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mamoru Hasegawa more than expected).
Fields of papers citing papers by Mamoru Hasegawa
This network shows the impact of papers produced by Mamoru Hasegawa. 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 Mamoru Hasegawa. The network helps show where Mamoru Hasegawa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mamoru Hasegawa, 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 | 2014 | 15 | |
| 2 | 2013 | 40 | |
| 3 | 2013 | 15 | |
| 4 | 2013 | 38 | |
| 5 | 2012 | 33 | |
| 6 | 2012 | 132 | |
| 7 | 2012 | 79 | |
| 8 | 2011 | 420 | |
| 9 | 2009 | 34 | |
| 10 | 2009 | 31 | |
| 11 | 2008 | 2 | |
| 12 | 2008 | 15 | |
| 13 | 2007 | 10 | |
| 14 | 2006 | 57 | |
| 15 | 2002 | 101 | |
| 16 | 2002 | 34 | |
| 17 | 2002 | 20 | |
| 18 | 1995 | 20 | |
| 19 | 1994 | 17 | |
| 20 | 1992 | 38 |
About Mamoru Hasegawa
Mamoru Hasegawa is a scholar working on Genetics, Virology and Molecular Biology, having authored 197 papers that have together received 8.5k indexed citations. Recurring topics across this work include Virus-based gene therapy research (70 papers), RNA Interference and Gene Delivery (22 papers), CRISPR and Genetic Engineering (21 papers), Immunotherapy and Immune Responses (16 papers), Viral gastroenteritis research and epidemiology (15 papers), Pluripotent Stem Cells Research (15 papers), Microbial Natural Products and Biosynthesis (14 papers) and HIV Research and Treatment (12 papers). The work is most often cited by research in Molecular Biology (5.6k citations), Virology (322 citations) and Genetics (1.8k citations). Mamoru Hasegawa has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Noemi Fusaki, Hiroshi Ban, Koichi Saeki, Akiyo Nishiyama, Makoto Inoue, Yoshikazu Yonemitsu, Yoshiyuki Nagai, Akihiro Iida, Katsuo Sueishi and Katsutoshi Sasaki. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences 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.