Noboru Higuchi

662 citations
15 papers · 513 · h-index 11

Impact in

Papers in

    • CRISPR and Genetic Engineering 6
    • RNA Interference and Gene Delivery 3
    • Renal and related cancers 2
    • Virus-based gene therapy research 7

Noboru Higuchi

15 papers receiving 493 citations

Peers

Noboru Higuchi
Comparison fields: 5 of 61
  • Biotechnology 123
  • Nephrology 38
  • Genetics 154
  • Molecular Biology 271
  • Immunology 49
Replace Hideaki Suzuki with:
Hideaki Suzuki Japan
Xiaojun Chen China
Mahesh Jonnalagadda United States
Ziyong Sun China
Anu Gangopadhyay United States
Xing Zhao China
Shumei Ren United States
Melissa A. Pegues United States
Noboru Higuchi relative to Hideaki Suzuki Japan Hideaki Suzuki's profile →
Citations per field
00.5×12.3×
Hideaki Suzuki · 1×
Citations per year

Countries citing papers authored by Noboru Higuchi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Noboru Higuchi Line = papers co-authored together Noboru Higuchi links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2002104
2 200174
3 200073
4 200165
5 200262
6 200331
7 200418
8 200416
9
Effects of viral interleukin 10 introduced by in vivo electroporation on arthrogen-induced arthritis in mice.
200616
10 200514
11 200411
12 200310
13 20048
14 20047
15 20054

About Noboru Higuchi

Noboru Higuchi is a scholar working on Molecular Biology, Genetics, Nephrology, Biotechnology and Infectious Diseases, having authored 15 papers that have together received 513 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), Microbial Inactivation Methods (2 papers), Renal and related cancers (2 papers), Parathyroid Disorders and Treatments (2 papers), Organ Donation and Transplantation (1 paper) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Biotechnology (123 citations), Nephrology (38 citations), Genetics (154 citations), Molecular Biology (271 citations) and Immunology (49 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 Haruhiko Maruyama. Their work appears in journals such as Gene Therapy, Biochemical and Biophysical Research Communications, Human Gene Therapy, The Journal of Gene Medicine and Nephrology Dialysis Transplantation.

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.

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