Shuhei Noda
- Molecular Biology top 5%
- Biomedical Engineering top 10%
- Biotechnology top 2%
- Plant Science
- Pulmonary and Respiratory Medicine
- Co-authors
- Akihiko KondoTsutomu TanakaMasayuki YamamotoHozumi MotohashiDennis R. RoopJunko WakabayashiKen ItohTakanori Harada
- Topics
- Microbial Metabolic Engineering and Bioproduction (21 papers)Biofuel production and bioconversion (20 papers)Enzyme Catalysis and Immobilization (15 papers)
- Cited by
- BiotechnologyMolecular BiologyAging
- Journals
- Nature CommunicationsNature GeneticsSHILAP Revista de lepidopterología
- Partner nations
- JapanIndiaSouth Korea
In The Last Decade
Shuhei Noda
49 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Molecular Biology 1.4k
- Biomedical Engineering 463
- Biotechnology 251
- Plant Science 149
- Pulmonary and Respiratory Medicine 135
Countries citing papers authored by Shuhei Noda
This map shows the geographic impact of Shuhei Noda'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 Shuhei Noda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuhei Noda more than expected).
Fields of papers citing papers by Shuhei Noda
This network shows the impact of papers produced by Shuhei Noda. 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 Shuhei Noda. The network helps show where Shuhei Noda may publish in the future.
Co-authorship network of co-authors of Shuhei Noda
This figure shows the co-authorship network connecting the top 25 collaborators of Shuhei Noda. A scholar is included among the top collaborators of Shuhei Noda based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shuhei Noda. Shuhei Noda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 40 | |
| 6 | 12 | |
| 7 | 102 | |
| 8 | 25 | |
| 9 | 43 | |
| 10 | 8 | |
| 11 | 36 | |
| 12 | 84 | |
| 13 | 108 | |
| 14 | 17 | |
| 15 | 12 | |
| 16 | 45 | |
| 17 | 30 | |
| 18 | 22 | |
| 19 | 7 | |
| 20 | Optic nerve glioma in Japanese patients with neurofibromatosis 1. Case reports and literature review. | 2 |
About Shuhei Noda
Shuhei Noda is a scholar working on Biotechnology, Equine and Molecular Biology, having authored 51 papers that have together received 2.0k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (21 papers), Biofuel production and bioconversion (20 papers) and Enzyme Catalysis and Immobilization (15 papers). The work is most often cited by research in Biotechnology (251 citations), Molecular Biology (1.4k citations) and Aging (21 citations). Shuhei Noda has collaborated with scholars based in Japan, India and South Korea. Frequent co-authors include Akihiko Kondo, Tsutomu Tanaka, Masayuki Yamamoto, Hozumi Motohashi, Dennis R. Roop, Junko Wakabayashi, Ken Itoh, Takanori Harada, Tomoe KOTSUJI and Sumihisa Imakado. Their work appears in journals such as Nature Communications, Nature Genetics and SHILAP Revista de lepidopterología.
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.