Masaki Kato
- Hepatology top 2%
- Developmental Biology top 5%
- Animal Vocal Communication and Behavior 7
- Cell Biology top 5%
- Molecular Biology top 5%
- Epigenetics and DNA Methylation 9
- Genomics and Chromatin Dynamics 8
- Hedgehog Signaling Pathway Studies 6
- Glycosylation and Glycoproteins Research 4
- Cancer-related gene regulation 4
- Genetics top 5%
-
- Animal Behavior and Reproduction 7
-
- Marine animal studies overview 6
- Co-authors
- Naohiko SekiPhilip A. BeachyNaomi KitamuraJuyong Brian KimKeiji MiyazawaHiromitsu SaishoOsamu YokosukaKenichi Fukai
- Journals
- Biochemical and Biophysical Research Communications (5 papers)Journal of Biological Chemistry (3 papers)Genes to Cells (3 papers)
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Masaki Kato
84 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 129
- Hepatology 421
- Developmental Biology 61
- Cell Biology 441
- Molecular Biology 1.8k
- Genetics 645
Countries citing papers authored by Masaki Kato
This map shows the geographic impact of Masaki Kato'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 Masaki Kato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masaki Kato more than expected).
Fields of papers citing papers by Masaki Kato
This network shows the impact of papers produced by Masaki Kato. 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 Masaki Kato. The network helps show where Masaki Kato may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Masaki Kato, 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 | 2023 | 1 | |
| 2 | 2018 | 8 | |
| 3 | 2014 | 29 | |
| 4 | Development of rehabilitation robots | 2013 | 1 |
| 5 | 2012 | 8 | |
| 6 | 2010 | 8 | |
| 7 | 2008 | 20 | |
| 8 | 2006 | 16 | |
| 9 | 2006 | 18 | |
| 10 | 2006 | 11 | |
| 11 | 2006 | 28 | |
| 12 | 2006 | 10 | |
| 13 | 2006 | 16 | |
| 14 | 2004 | 48 | |
| 15 | 2003 | 101 | |
| 16 | 2003 | 333 | |
| 17 | 2003 | 123 | |
| 18 | 2001 | 80 | |
| 19 | 2000 | 60 | |
| 20 | 1988 | 1 |
About Masaki Kato
Masaki Kato is a scholar working on Developmental Biology, Otorhinolaryngology and Hepatology, having authored 85 papers that have together received 3.0k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (9 papers), Genomics and Chromatin Dynamics (8 papers), Animal Behavior and Reproduction (7 papers), Animal Vocal Communication and Behavior (7 papers), Marine animal studies overview (6 papers), Hedgehog Signaling Pathway Studies (6 papers), Glycosylation and Glycoproteins Research (4 papers) and Cancer-related gene regulation (4 papers). The work is most often cited by research in Hepatology (421 citations), Developmental Biology (61 citations) and Cell Biology (441 citations). Masaki Kato has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Naohiko Seki, Philip A. Beachy, Naomi Kitamura, Juyong Brian Kim, Keiji Miyazawa, Hiromitsu Saisho, Osamu Yokosuka, Kenichi Fukai, Makoto Arai and Hajime Sumi. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Biological Chemistry, Genes to Cells, Nature Communications and Neuroreport.
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.