Naoya Hatano
- Biochemistry top 1%
- Molecular Biology top 2%
- Protein Kinase Regulation and GTPase Signaling 16
- Metabolism, Diabetes, and Cancer 12
- Metabolomics and Mass Spectrometry Studies 8
- Ubiquitin and proteasome pathways 6
- Gut microbiota and health 6
- Epigenetics and DNA Methylation 6
- Biological Psychiatry top 5%
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease 6
- Cancer Research top 5%
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- Pancreatic function and diabetes 9
- Co-authors
- Hisaaki TaniguchiMasakazu ShinoharaYasuo WatanabeTadaomi TakenawaMasaaki TokudaFuminori YamaguchiMasaru YoshidaTakeshi Azuma
- Journals
- Biochemical and Biophysical Research Communications (9 papers)Journal of Biological Chemistry (8 papers)Biochemistry (5 papers)
- Partner nations
- JapanChinaUnited States
In The Last Decade
Naoya Hatano
92 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Biochemistry 331
- Molecular Biology 2.8k
- Biological Psychiatry 77
- Cell Biology 424
- Cancer Research 387
Countries citing papers authored by Naoya Hatano
This map shows the geographic impact of Naoya Hatano'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 Naoya Hatano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoya Hatano more than expected).
Fields of papers citing papers by Naoya Hatano
This network shows the impact of papers produced by Naoya Hatano. 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 Naoya Hatano. The network helps show where Naoya Hatano may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Naoya Hatano, 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 | 1 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 6 | |
| 4 | 2022 | 5 | |
| 5 | 2020 | 16 | |
| 6 | 2020 | 2 | |
| 7 | 2019 | 2 | |
| 8 | 2018 | 13 | |
| 9 | 2015 | 10 | |
| 10 | 2012 | 53 | |
| 11 | 2012 | 11 | |
| 12 | 2011 | 131 | |
| 13 | 2010 | 24 | |
| 14 | 2008 | 75 | |
| 15 | 2005 | 141 | |
| 16 | 2004 | 47 | |
| 17 | 2004 | 35 | |
| 18 | 1999 | 33 | |
| 19 | 1998 | 5 | |
| 20 | 1998 | 14 |
About Naoya Hatano
Naoya Hatano is a scholar working on Molecular Biology, Cell Biology and Physiology, having authored 92 papers that have together received 4.2k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (16 papers), Metabolism, Diabetes, and Cancer (12 papers), Pancreatic function and diabetes (9 papers), Metabolomics and Mass Spectrometry Studies (8 papers), Ubiquitin and proteasome pathways (6 papers), Endoplasmic Reticulum Stress and Disease (6 papers), Gut microbiota and health (6 papers) and Epigenetics and DNA Methylation (6 papers). The work is most often cited by research in Biochemistry (331 citations), Molecular Biology (2.8k citations) and Biological Psychiatry (77 citations). Naoya Hatano has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Hisaaki Taniguchi, Masakazu Shinohara, Yasuo Watanabe, Tadaomi Takenawa, Masaaki Tokuda, Fuminori Yamaguchi, Masaru Yoshida, Takeshi Azuma, Shin Nishiumi and Hiroshi Tokumitsu. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Biological Chemistry, Biochemistry, FEBS Letters and Biochemical Journal.
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.