Sayaka Nagata
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- Renin-Angiotensin System Studies 15
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- Hormonal Regulation and Hypertension 15
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- Neuropeptides and Animal Physiology 25
- Genetics top 10%
- Coagulation, Bradykinin, Polyphosphates, and Angioedema 5
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- Receptor Mechanisms and Signaling 26
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- Peptidase Inhibition and Analysis 8
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- Mast cells and histamine 4
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- Cardiovascular, Neuropeptides, and Oxidative Stress Research 3
- Co-authors
- Kazuo KitamuraJohji KatoCarlos M. FerrarioJasmina VaragićSarfaraz AhmadKenji KuwasakoNaoto MinaminoTanenao Eto
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismCellular and Molecular Neuroscience
- Journals
- SHILAP Revista de lepidopterología (2 papers)Biochemical and Biophysical Research Communications (10 papers)Hypertension (1 paper)
- Partner nations
- JapanUnited StatesBangladesh
In The Last Decade
Sayaka Nagata
46 papers receiving 994 citations
Peers
Comparison fields: 5 of 88
- Cardiology and Cardiovascular Medicine 566
- Endocrinology, Diabetes and Metabolism 315
- Cellular and Molecular Neuroscience 256
- Genetics 139
- Molecular Biology 440
Countries citing papers authored by Sayaka Nagata
This map shows the geographic impact of Sayaka Nagata'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 Sayaka Nagata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sayaka Nagata more than expected).
Fields of papers citing papers by Sayaka Nagata
This network shows the impact of papers produced by Sayaka Nagata. 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 Sayaka Nagata. The network helps show where Sayaka Nagata may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sayaka Nagata, 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 | 8 | |
| 2 | 2023 | 0 | |
| 3 | 2022 | 0 | |
| 4 | 2021 | 4 | |
| 5 | 2021 | 13 | |
| 6 | 2020 | 4 | |
| 7 | 2020 | 8 | |
| 8 | 2020 | 1 | |
| 9 | 2020 | 6 | |
| 10 | 2019 | 19 | |
| 11 | 2018 | 11 | |
| 12 | 2014 | 96 | |
| 13 | 2013 | 19 | |
| 14 | 2012 | 46 | |
| 15 | 2010 | 21 | |
| 16 | 2010 | 23 | |
| 17 | 2009 | 10 | |
| 18 | 2008 | 8 | |
| 19 | 2006 | 144 | |
| 20 | 1992 | 3 |
About Sayaka Nagata
Sayaka Nagata is a scholar working on Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 49 papers that have together received 1.0k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (26 papers), Neuropeptides and Animal Physiology (25 papers), Renin-Angiotensin System Studies (15 papers), Hormonal Regulation and Hypertension (15 papers), Peptidase Inhibition and Analysis (8 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (5 papers), Mast cells and histamine (4 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (566 citations), Endocrinology, Diabetes and Metabolism (315 citations) and Cellular and Molecular Neuroscience (256 citations). Sayaka Nagata has collaborated with scholars based in Japan, United States and Bangladesh. Frequent co-authors include Kazuo Kitamura, Johji Kato, Carlos M. Ferrario, Jasmina Varagić, Sarfaraz Ahmad, Kenji Kuwasako, Naoto Minamino, Tanenao Eto, Kazuki Sasaki and Neal D. Kon. Their work appears in journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and Hypertension.
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.