Atsushi Sawada
- Cell Biology top 2%
- Molecular Biology top 5%
- Developmental Biology and Gene Regulation 7
- Congenital heart defects research 4
- Wnt/β-catenin signaling in development and cancer 4
- Renal and related cancers 3
- Biological Psychiatry top 10%
- Behavioral Neuroscience top 10%
- Neurology top 10%
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- Anesthesia and Pain Management 11
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- Spine and Intervertebral Disc Pathology 4
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- Anesthesia and Sedative Agents 4
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- Pain Mechanisms and Treatments 3
- Co-authors
- Hiroyuki TakedaHiroshi SasakiNoriyuki NishiokaHiroshi KiyonariLilianna Solnica‐KrezelAtsushi KuroiwaMinori ShinyaAtsushi Kawakami
- Journals
- Development (4 papers)The FASEB Journal (2 papers)Cellular and Molecular Neurobiology (1 paper)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Atsushi Sawada
35 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 103
- Cell Biology 559
- Molecular Biology 1.3k
- Biological Psychiatry 47
- Behavioral Neuroscience 58
- Neurology 124
Countries citing papers authored by Atsushi Sawada
This map shows the geographic impact of Atsushi Sawada'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 Atsushi Sawada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atsushi Sawada more than expected).
Fields of papers citing papers by Atsushi Sawada
This network shows the impact of papers produced by Atsushi Sawada. 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 Atsushi Sawada. The network helps show where Atsushi Sawada may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Atsushi Sawada, 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 | 2024 | 1 | |
| 3 | 2023 | 10 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 0 | |
| 6 | 2022 | 13 | |
| 7 | 2021 | 4 | |
| 8 | 2020 | 21 | |
| 9 | 2019 | 1 | |
| 10 | 2018 | 3 | |
| 11 | 2018 | 22 | |
| 12 | 2017 | 1 | |
| 13 | 2016 | 240 | |
| 14 | 2011 | 26 | |
| 15 | 2011 | 11 | |
| 16 | 2009 | 5 | |
| 17 | 2009 | 189 | |
| 18 | 2007 | 382 | |
| 19 | A-16-17 Utilizing knowledge about Visual Feature Transition and Possible Cooking Operation for Recognitine Food Production Process | 2004 | 0 |
| 20 | 1998 | 1 |
About Atsushi Sawada
Atsushi Sawada is a scholar working on Anesthesiology and Pain Medicine, Cell Biology and Biological Psychiatry, having authored 40 papers that have together received 1.9k indexed citations. Recurring topics across this work include Anesthesia and Pain Management (11 papers), Developmental Biology and Gene Regulation (7 papers), Congenital heart defects research (4 papers), Spine and Intervertebral Disc Pathology (4 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Anesthesia and Sedative Agents (4 papers), Pain Mechanisms and Treatments (3 papers) and Renal and related cancers (3 papers). The work is most often cited by research in Cell Biology (559 citations), Molecular Biology (1.3k citations) and Biological Psychiatry (47 citations). Atsushi Sawada has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Hiroyuki Takeda, Hiroshi Sasaki, Noriyuki Nishioka, Hiroshi Kiyonari, Lilianna Solnica‐Krezel, Atsushi Kuroiwa, Minori Shinya, Atsushi Kawakami, Isabelle Roszko and Shinji Yamamoto. Their work appears in journals such as Development, The FASEB Journal, Cellular and Molecular Neurobiology, Regional Anesthesia & Pain Medicine and Seminars in Cell and Developmental Biology.
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.