Noboru Higuchi
Impact in
- Biotechnology top 5%
- Microbial Inactivation Methods
- Transgenic Plants and Applications
- Nephrology top 10%
Papers in
- Genetics 7
- Virus-based gene therapy research 7
-
- Parathyroid Disorders and Treatments 2
- Co-authors
- Fumitake Gejyo (16 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)The Journal of Gene Medicine (2 papers)Human Gene Therapy (2 papers)Biochemical and Biophysical Research Communications (2 papers)The Nephron journals/Nephron journals (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Noboru Higuchi
16 papers receiving 545 citations
Peers
Comparison fields: 5 of 68
- Biotechnology 134
- Nephrology 49
- Genetics 162
- Molecular Biology 295
- Immunology 59
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 | 106 | |
| 2 | 2001 | 83 | |
| 3 | 2000 | 75 | |
| 4 | 2002 | 69 | |
| 5 | 2001 | 65 | |
| 6 | 2003 | 33 | |
| 7 | 2000 | 33 | |
| 8 | 2004 | 20 | |
| 9 | 2005 | 18 | |
| 10 | Effects of viral interleukin 10 introduced by in vivo electroporation on arthrogen-induced arthritis in mice. | 2006 | 17 |
| 11 | 2004 | 16 | |
| 12 | 2004 | 12 | |
| 13 | 2003 | 10 | |
| 14 | 2004 | 8 | |
| 15 | 2004 | 7 | |
| 16 | 2005 | 4 |
About Noboru Higuchi
Noboru Higuchi is a scholar working on Genetics, Nephrology, Biotechnology, Molecular Biology and Transplantation, having authored 16 papers that have together received 576 indexed citations. Recurring topics across this work include Virus-based gene therapy research (7 papers), CRISPR and Genetic Engineering (6 papers), RNA Interference and Gene Delivery (3 papers), Parathyroid Disorders and Treatments (2 papers), Microbial Inactivation Methods (2 papers), Renal and related cancers (2 papers), Viral gastroenteritis research and epidemiology (1 paper) and Food Allergy and Anaphylaxis Research (1 paper). The work is most often cited by research in Biotechnology (134 citations), Nephrology (49 citations), Genetics (162 citations), Molecular Biology (295 citations) and Immunology (59 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, Fuminori Sakamoto and Hiroyuki Hirahara. Their work appears in journals such as Gene Therapy, The Journal of Gene Medicine, Human Gene Therapy, Biochemical and Biophysical Research Communications and The Nephron journals/Nephron journals.
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.