Nozomu Kono
Impact in
- Biochemistry top 0.5%
- Lipid metabolism and biosynthesis
- Cell Biology top 2%
- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
Papers in
-
- Lipid Membrane Structure and Behavior 9
- Peroxisome Proliferator-Activated Receptors 8
- Biochemistry 20
- Lipid metabolism and biosynthesis 18
- Co-authors
- Hiroyuki Arai (42 shared papers)Shinji Matsuda (3 shared papers)Umeharu Ohto (3 shared papers)Takao Inoué (3 shared papers)Junken Aoki (18 shared papers)Yuta Shimanaka (17 shared papers)Takao Inoue (5 shared papers)Yumiko Tanaka (2 shared papers)
- Journals
- Journal of Lipid Research (8 papers)Journal of Biological Chemistry (7 papers)Scientific Reports (4 papers)Molecular Biology of the Cell (4 papers)Genes to Cells (4 papers)
- Partner nations
- JapanIrelandUnited States
In The Last Decade
Nozomu Kono
65 papers receiving 2.8k citations
Nozomu Kono's Hit Papers
Peers
Comparison fields: 5 of 103
- Biochemistry 536
- Cell Biology 610
- Biochemistry 154
- Aging 44
- Epidemiology 645
Countries citing papers authored by Nozomu Kono
This map shows the geographic impact of Nozomu Kono'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 Nozomu Kono with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nozomu Kono more than expected).
Fields of papers citing papers by Nozomu Kono
This network shows the impact of papers produced by Nozomu Kono. 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 Nozomu Kono. The network helps show where Nozomu Kono may publish in the future.
Co-authors
The 25 scholars most cited alongside Nozomu Kono, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 429 | |
| 2 | 2010 | 229 | |
| 3 | 2017 | 161 | |
| 4 | 2012 | 121 | |
| 5 | Structure of SARS-CoV-2 membrane protein essential for virus assembly Hit paper breakdown → | 2022 | 116 |
| 6 | 2007 | 114 | |
| 7 | 2020 | 102 | |
| 8 | 2013 | 97 | |
| 9 | 2021 | 82 | |
| 10 | 2007 | 70 | |
| 11 | 2013 | 69 | |
| 12 | 2008 | 69 | |
| 13 | 2014 | 65 | |
| 14 | 2013 | 59 | |
| 15 | 2014 | 58 | |
| 16 | 2011 | 51 | |
| 17 | 2017 | 48 | |
| 18 | 2019 | 46 | |
| 19 | 2017 | 42 | |
| 20 | 2013 | 42 |
About Nozomu Kono
Nozomu Kono is a scholar working on Molecular Biology, Biochemistry, Cell Biology, Surgery and Epidemiology, having authored 67 papers that have together received 2.8k indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (18 papers), Endoplasmic Reticulum Stress and Disease (10 papers), Lipid Membrane Structure and Behavior (9 papers), Peroxisome Proliferator-Activated Receptors (8 papers), Pancreatic function and diabetes (8 papers), Adipose Tissue and Metabolism (7 papers), Autophagy in Disease and Therapy (7 papers) and Cellular transport and secretion (6 papers). The work is most often cited by research in Biochemistry (536 citations), Cell Biology (610 citations), Biochemistry (154 citations), Aging (44 citations) and Epidemiology (645 citations). Nozomu Kono has collaborated with scholars based in Japan, Ireland and United States. Frequent co-authors include Hiroyuki Arai, Shinji Matsuda, Umeharu Ohto, Takao Inoué, Junken Aoki, Yuta Shimanaka, Takao Inoue, Yumiko Tanaka, Kosei Eguchi and Hyeon‐Cheol Lee. Their work appears in journals such as Journal of Lipid Research, Journal of Biological Chemistry, Scientific Reports, Molecular Biology of the Cell and Genes to Cells.
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.