Tatsuya Haga
- Cellular and Molecular Neuroscience top 0.2%
- Neuroscience and Neuropharmacology Research 45
- Neuropeptides and Animal Physiology 24
- Neurobiology and Insect Physiology Research 10
- Sensory Systems top 0.5%
- Molecular Biology top 0.5%
- Receptor Mechanisms and Signaling 88
- Ion channel regulation and function 26
- Protein Kinase Regulation and GTPase Signaling 20
- Lipid Membrane Structure and Behavior 11
- Cell Biology top 2%
- Nutrition and Dietetics top 1%
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- Memory and Neural Mechanisms 11
- Co-authors
- Kazuko HagaKimihiko KameyamaArata IchiyamaTakashi OkudaHaruhiko NodaMasanori KurokawaShosaku NumaHisayuki Matsuo
- Journals
- Nature (4 papers)Proceedings of the National Academy of Sciences (3 papers)Physical Review Letters (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Tatsuya Haga
153 papers receiving 8.2k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Cellular and Molecular Neuroscience 4.4k
- Sensory Systems 607
- Molecular Biology 6.3k
- Cell Biology 689
- Nutrition and Dietetics 608
Countries citing papers authored by Tatsuya Haga
This map shows the geographic impact of Tatsuya Haga'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 Tatsuya Haga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tatsuya Haga more than expected).
Fields of papers citing papers by Tatsuya Haga
This network shows the impact of papers produced by Tatsuya Haga. 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 Tatsuya Haga. The network helps show where Tatsuya Haga may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tatsuya Haga, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2022 | 2 | |
| 4 | 2021 | 5 | |
| 5 | 2021 | 3 | |
| 6 | 2019 | 6 | |
| 7 | 2018 | 20 | |
| 8 | 2018 | 17 | |
| 9 | 2018 | 11 | |
| 10 | 2012 | 39 | |
| 11 | 2008 | 14 | |
| 12 | 2006 | 31 | |
| 13 | 2004 | 21 | |
| 14 | 2001 | 7 | |
| 15 | 2001 | 85 | |
| 16 | 1998 | 72 | |
| 17 | 1990 | 14 | |
| 18 | 1990 | 23 | |
| 19 | 1990 | 17 | |
| 20 | 1980 | 15 |
About Tatsuya Haga
Tatsuya Haga is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience, having authored 157 papers that have together received 8.6k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (88 papers), Neuroscience and Neuropharmacology Research (45 papers), Ion channel regulation and function (26 papers), Neuropeptides and Animal Physiology (24 papers), Protein Kinase Regulation and GTPase Signaling (20 papers), Lipid Membrane Structure and Behavior (11 papers), Memory and Neural Mechanisms (11 papers) and Neurobiology and Insect Physiology Research (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (4.4k citations), Sensory Systems (607 citations) and Molecular Biology (6.3k citations). Tatsuya Haga has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kazuko Haga, Kimihiko Kameyama, Arata Ichiyama, Takashi Okuda, Haruhiko Noda, Masanori Kurokawa, Shosaku Numa, Hisayuki Matsuo, Hideo Takahashi and Kenji Kangawa. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.
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.