Noboru Higuchi
Impact in
- Biotechnology top 5%
- Microbial Inactivation Methods
- Transgenic Plants and Applications
- Genetics top 10%
- Virus-based gene therapy research
Papers in
-
- CRISPR and Genetic Engineering 8
- RNA Interference and Gene Delivery 4
- Renal and related cancers 2
- Genetics 9
- Virus-based gene therapy research 9
- Co-authors
- Fumitake Gejyo (15 shared papers)Jun‐ichi Miyazaki (12 shared papers)Hiroki Maruyama (9 shared papers)Ken Ataka (4 shared papers)Noriaki Iino (5 shared papers)Makoto Sugawa (4 shared papers)Yuji Nishikawa (4 shared papers)Junichiro James Kazama (4 shared papers)
- Journals
- Gene Therapy (3 papers)Human Gene Therapy (2 papers)Biochemical and Biophysical Research Communications (2 papers)The Journal of Gene Medicine (2 papers)Kidney International (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Noboru Higuchi
15 papers receiving 490 citations
Peers
Comparison fields: 5 of 64
- Biotechnology 131
- Genetics 193
- Nephrology 40
- Molecular Biology 322
- Transplantation 9
Countries citing papers authored by Noboru Higuchi
This map shows the geographic impact of Noboru Higuchi'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 Noboru Higuchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noboru Higuchi more than expected).
Fields of papers citing papers by Noboru Higuchi
This network shows the impact of papers produced by Noboru Higuchi. 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 Noboru Higuchi. The network helps show where Noboru Higuchi may publish in the future.
Co-authors
The 25 scholars most cited alongside Noboru Higuchi, 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 | 2002 | 104 | |
| 2 | 2001 | 74 | |
| 3 | 2000 | 73 | |
| 4 | 2001 | 65 | |
| 5 | 2002 | 62 | |
| 6 | 2003 | 31 | |
| 7 | 2004 | 18 | |
| 8 | 2004 | 16 | |
| 9 | Effects of viral interleukin 10 introduced by in vivo electroporation on arthrogen-induced arthritis in mice. | 2006 | 16 |
| 10 | 2005 | 15 | |
| 11 | 2004 | 11 | |
| 12 | 2003 | 10 | |
| 13 | 2004 | 8 | |
| 14 | 2004 | 7 | |
| 15 | 2005 | 4 |
About Noboru Higuchi
Noboru Higuchi is a scholar working on Molecular Biology, Genetics, Biotechnology, Nephrology and Pulmonary and Respiratory Medicine, having authored 15 papers that have together received 514 indexed citations. Recurring topics across this work include Virus-based gene therapy research (9 papers), CRISPR and Genetic Engineering (8 papers), RNA Interference and Gene Delivery (4 papers), Parathyroid Disorders and Treatments (2 papers), Transgenic Plants and Applications (2 papers), Renal and related cancers (2 papers), CAR-T cell therapy research (2 papers) and Microbial Inactivation Methods (2 papers). The work is most often cited by research in Biotechnology (131 citations), Genetics (193 citations), Nephrology (40 citations), Molecular Biology (322 citations) and Transplantation (9 citations). Noboru Higuchi has collaborated with scholars based in Japan and United States. Frequent co-authors include Fumitake Gejyo, Jun‐ichi Miyazaki, Hiroki Maruyama, Ken Ataka, Noriaki Iino, Makoto Sugawa, Yuji Nishikawa, Junichiro James Kazama, F. Sakamoto and Yumi Ito. Their work appears in journals such as Gene Therapy, Human Gene Therapy, Biochemical and Biophysical Research Communications, The Journal of Gene Medicine and Kidney International.
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.