Kaoru Goto
Impact in
- Cell Biology top 1%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
- Biochemistry top 1%
- Lipid metabolism and biosynthesis
Papers in
- Cell Biology 42
- Endoplasmic Reticulum Stress and Disease 16
- Co-authors
- Hisatake KondoYasukazu HozumiTomoyuki NakanoToshiaki TanakaTamotsu NakagawaAlberto M. MartelliMasahiko WatanabeKoichi Otani
- Journals
- Journal of Biological Chemistry (8 papers)Biochemical and Biophysical Research Communications (8 papers)Cell and Tissue Research (6 papers)Cellular Signalling (6 papers)Advances in Biological Regulation (6 papers)
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Kaoru Goto
205 papers receiving 5.7k citations
Peers
Comparison fields: 5 of 143
- Cell Biology 1.1k
- Biochemistry 454
- Molecular Biology 3.6k
- Developmental Neuroscience 211
- Cellular and Molecular Neuroscience 828
Countries citing papers authored by Kaoru Goto
This map shows the geographic impact of Kaoru Goto'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 Kaoru Goto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaoru Goto more than expected).
Fields of papers citing papers by Kaoru Goto
This network shows the impact of papers produced by Kaoru Goto. 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 Kaoru Goto. The network helps show where Kaoru Goto may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaoru Goto, 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 | 2024 | 0 | |
| 2 | 2023 | 0 | |
| 3 | Interrelation Between Increased BDNF Gene Methylation and High Sociotropy, a Personality Vulnerability Factor in Cognitive Model of Depression | 2020 | 1 |
| 4 | 2020 | 10 | |
| 5 | 2019 | 20 | |
| 6 | 2018 | 3 | |
| 7 | 2017 | 8 | |
| 8 | 2016 | 27 | |
| 9 | The Suicide Pandemic of Hydrogen Sulfide Poisoning in Japan | 2014 | 2 |
| 10 | 2014 | 18 | |
| 11 | 2014 | 12 | |
| 12 | 2013 | 5 | |
| 13 | 2011 | 42 | |
| 14 | 2009 | 33 | |
| 15 | 2008 | 3 | |
| 16 | Diacylglycerol KinaseζAttenuates Pressure Overload-Induced Cardiac Hypertrophy | 2007 | 2 |
| 17 | The expression of Diacylglycerol Kinase (DGK) and cytokines in Retina of Diabetic Rats | 2004 | 1 |
| 18 | 1996 | 17 | |
| 19 | 1996 | 101 | |
| 20 | 1993 | 8 |
About Kaoru Goto
Kaoru Goto is a scholar working on Cell Biology, Behavioral Neuroscience, Biochemistry, Cellular and Molecular Neuroscience and Molecular Biology, having authored 211 papers that have together received 5.8k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (38 papers), Receptor Mechanisms and Signaling (23 papers), Peroxisome Proliferator-Activated Receptors (19 papers), Endoplasmic Reticulum Stress and Disease (16 papers), Pancreatic function and diabetes (15 papers), Lipid metabolism and biosynthesis (12 papers), Adipose Tissue and Metabolism (12 papers) and Neuroscience and Neuropharmacology Research (11 papers). The work is most often cited by research in Cell Biology (1.1k citations), Biochemistry (454 citations), Molecular Biology (3.6k citations), Developmental Neuroscience (211 citations) and Cellular and Molecular Neuroscience (828 citations). Kaoru Goto has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Hisatake Kondo, Yasukazu Hozumi, Tomoyuki Nakano, Toshiaki Tanaka, Tamotsu Nakagawa, Alberto M. Martelli, Masahiko Watanabe, Koichi Otani, Mitsuyoshi Iino and Naomasa Miki. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Cell and Tissue Research, Cellular Signalling and Advances in Biological Regulation.
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.