Nobuko Nishimura
Impact in
- Sensory Systems top 2%
- Ion Channels and Receptors
- Toxicology top 5%
Papers in
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- Ion Channels and Receptors 5
-
- Phytochemicals and Antioxidant Activities 3
- Co-authors
- Michael E. Jung (3 shared papers)Narender R. Gavva (5 shared papers)Rami Tamir (3 shared papers)Weiya Wang (3 shared papers)Lana Klionsky (2 shared papers)Mark H. Norman (8 shared papers)David C. Immke (1 shared paper)Yunxin Y. Bo (5 shared papers)
- Journals
- Journal of Medicinal Chemistry (12 papers)Journal of the American Chemical Society (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Organic Letters (1 paper)Synlett (1 paper)
- Partner nations
- United StatesJapanFrance
In The Last Decade
Nobuko Nishimura
23 papers receiving 739 citations
Peers
Comparison fields: 5 of 77
- Sensory Systems 181
- Toxicology 44
- Organic Chemistry 349
- Biochemistry 57
- Complementary and alternative medicine 47
Countries citing papers authored by Nobuko Nishimura
This map shows the geographic impact of Nobuko 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 Nobuko Nishimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nobuko Nishimura more than expected).
Fields of papers citing papers by Nobuko Nishimura
This network shows the impact of papers produced by Nobuko 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 Nobuko Nishimura. The network helps show where Nobuko Nishimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Nobuko 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
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 100 | |
| 2 | 2011 | 59 | |
| 3 | 2007 | 58 | |
| 4 | 2014 | 52 | |
| 5 | 2012 | 51 | |
| 6 | 2012 | 46 | |
| 7 | 2012 | 46 | |
| 8 | 2001 | 43 | |
| 9 | 2014 | 38 | |
| 10 | 2007 | 38 | |
| 11 | 2015 | 38 | |
| 12 | 1999 | 29 | |
| 13 | 2015 | 27 | |
| 14 | 2012 | 26 | |
| 15 | 2014 | 23 | |
| 16 | 2005 | 19 | |
| 17 | 1987 | 18 | |
| 18 | 2022 | 18 | |
| 19 | 1995 | 16 | |
| 20 | 2016 | 14 |
About Nobuko Nishimura
Nobuko Nishimura is a scholar working on Sensory Systems, Biochemistry, Organic Chemistry, Genetics and Molecular Biology, having authored 23 papers that have together received 787 indexed citations. Recurring topics across this work include Ion Channels and Receptors (5 papers), Synthetic Organic Chemistry Methods (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Pancreatic function and diabetes (4 papers), Neurobiology and Insect Physiology Research (3 papers), Phytochemicals and Antioxidant Activities (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). The work is most often cited by research in Sensory Systems (181 citations), Toxicology (44 citations), Organic Chemistry (349 citations), Biochemistry (57 citations) and Complementary and alternative medicine (47 citations). Nobuko Nishimura has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Michael E. Jung, Narender R. Gavva, Rami Tamir, Weiya Wang, Lana Klionsky, Mark H. Norman, David C. Immke, Yunxin Y. Bo, Michael D. Bartberger and Vijay Gore. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of the American Chemical Society, Bioorganic & Medicinal Chemistry Letters, Organic Letters and Synlett.
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.