Setsuko Noda
Impact in
- Ophthalmology top 0.5%
- Glaucoma and retinal disorders
- Retinal Diseases and Treatments
- Biochemistry top 5%
Papers in
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- RNA Research and Splicing 4
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- Cellular transport and secretion 3
- Co-authors
- Nobuyoshi Shimizu (12 shared papers)Jun Kudoh (10 shared papers)Kazuo Tsubota (4 shared papers)Yutaka Imamura (5 shared papers)Takuji Shirasawa (3 shared papers)Takahiko Shimizu (3 shared papers)Kei Shinoda (3 shared papers)Yukihiko Mashima (8 shared papers)
- Journals
- Genomics (5 papers)Biochemical and Biophysical Research Communications (4 papers)American Journal Of Pathology (2 papers)Gene (1 paper)Journal of Histochemistry & Cytochemistry (1 paper)
- Partner nations
- JapanPakistanUnited States
In The Last Decade
Setsuko Noda
35 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 88
- Ophthalmology 628
- Biochemistry 103
- Molecular Biology 950
- Neurology 101
- Sensory Systems 59
Countries citing papers authored by Setsuko Noda
This map shows the geographic impact of Setsuko 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 Setsuko Noda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Setsuko Noda more than expected).
Fields of papers citing papers by Setsuko Noda
This network shows the impact of papers produced by Setsuko 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 Setsuko Noda. The network helps show where Setsuko Noda may publish in the future.
Co-authors
The 25 scholars most cited alongside Setsuko Noda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 343 | |
| 2 | 1997 | 255 | |
| 3 | 2010 | 120 | |
| 4 | 2012 | 113 | |
| 5 | 2001 | 108 | |
| 6 | 2008 | 104 | |
| 7 | 2003 | 103 | |
| 8 | 2007 | 88 | |
| 9 | Transcriptional factors associated with epithelial-mesenchymal transition in choroidal neovascularization. | 2011 | 59 |
| 10 | 2005 | 54 | |
| 11 | 2010 | 53 | |
| 12 | 2007 | 48 | |
| 13 | 1996 | 41 | |
| 14 | 1998 | 38 | |
| 15 | 1998 | 28 | |
| 16 | 2000 | 28 | |
| 17 | 2009 | 26 | |
| 18 | 2000 | 24 | |
| 19 | 2006 | 24 | |
| 20 | 2004 | 20 |
About Setsuko Noda
Setsuko Noda is a scholar working on Molecular Biology, Cell Biology, Ophthalmology, Genetics and Biochemistry, having authored 36 papers that have together received 1.8k indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), Digestive system and related health (4 papers), Vitamin D Research Studies (4 papers), Amino Acid Enzymes and Metabolism (4 papers), Glaucoma and retinal disorders (4 papers), Cardiomyopathy and Myosin Studies (4 papers), Cellular transport and secretion (3 papers) and Retinal Diseases and Treatments (3 papers). The work is most often cited by research in Ophthalmology (628 citations), Biochemistry (103 citations), Molecular Biology (950 citations), Neurology (101 citations) and Sensory Systems (59 citations). Setsuko Noda has collaborated with scholars based in Japan, Pakistan and United States. Frequent co-authors include Nobuyoshi Shimizu, Jun Kudoh, Kazuo Tsubota, Yutaka Imamura, Takuji Shirasawa, Takahiko Shimizu, Kei Shinoda, Yukihiko Mashima, Yoshihisa Oguchi and Kouhei Hashizume. Their work appears in journals such as Genomics, Biochemical and Biophysical Research Communications, American Journal Of Pathology, Gene and Journal of Histochemistry & Cytochemistry.
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.