Go Nishimura
Impact in
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- Kruppel-like factors research
- Cancer-related gene regulation
- Peroxisome Proliferator-Activated Receptors
- RNA Research and Splicing
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- Adipose Tissue and Metabolism
Papers in
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- Kruppel-like factors research 2
- Ion Transport and Channel Regulation 1
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- Image Retrieval and Classification Techniques 3
- Advanced Image and Video Retrieval Techniques 2
- Image Processing and 3D Reconstruction 2
- Co-authors
- Ryozo Nagai (5 shared papers)Ichiro Manabe (3 shared papers)Katsuhito Fujiu (3 shared papers)Koji Maemura (3 shared papers)Yumiko Oishi (3 shared papers)Kensuke Tsushima (2 shared papers)Takayuki Shindo (2 shared papers)Kazuyuki Tobe (1 shared paper)
- Journals
- Journal of Clinical Sleep Medicine (1 paper)Cell Metabolism (1 paper)Cardiology (1 paper)Circulation Research (1 paper)Developmental Cell (1 paper)
- Partner nations
- Japan
In The Last Decade
Go Nishimura
12 papers receiving 650 citations
Peers
Comparison fields: 5 of 78
- Molecular Biology 454
- Physiology 130
- Cancer Research 70
- Biochemistry 36
- Rheumatology 56
Countries citing papers authored by Go Nishimura
This map shows the geographic impact of Go Nishimura'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 Go Nishimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Go Nishimura more than expected).
Fields of papers citing papers by Go Nishimura
This network shows the impact of papers produced by Go Nishimura. 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 Go Nishimura. The network helps show where Go Nishimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Go Nishimura, 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 | 2005 | 377 | |
| 2 | 2006 | 123 | |
| 3 | 2005 | 77 | |
| 4 | 2011 | 57 | |
| 5 | 2020 | 9 | |
| 6 | 1988 | 8 | |
| 7 | 2012 | 6 | |
| 8 | 2001 | 3 | |
| 9 | 2022 | 2 | |
| 10 | 2012 | 2 | |
| 11 | 3D Object Retrieval based on Shape Similarity | 2000 | 1 |
| 12 | 1999 | 1 | |
| 13 | 2014 | 0 | |
| 14 | The Shape Similarity Search System for Japanese Tableware | 2001 | 0 |
About Go Nishimura
Go Nishimura is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine, Signal Processing and Surgery, having authored 14 papers that have together received 666 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (3 papers), Kruppel-like factors research (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Image Processing and 3D Reconstruction (2 papers), Ion Transport and Channel Regulation (1 paper), Video Coding and Compression Technologies (1 paper), Obstructive Sleep Apnea Research (1 paper) and Service-Oriented Architecture and Web Services (1 paper). The work is most often cited by research in Molecular Biology (454 citations), Physiology (130 citations), Cancer Research (70 citations), Biochemistry (36 citations) and Rheumatology (56 citations). Go Nishimura has collaborated with scholars based in Japan. Frequent co-authors include Ryozo Nagai, Ichiro Manabe, Katsuhito Fujiu, Koji Maemura, Yumiko Oishi, Kensuke Tsushima, Takayuki Shindo, Kazuyuki Tobe, Toshimasa Yamauchi and Toshio Kitamura. Their work appears in journals such as Journal of Clinical Sleep Medicine, Cell Metabolism, Cardiology, Circulation Research and Developmental Cell.
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.