Hiroaki Gouda
Impact in
- Molecular Biology top 5%
- Protein Structure and Dynamics
- Chemical Synthesis and Analysis
- PI3K/AKT/mTOR signaling in cancer
- RNA and protein synthesis mechanisms
- Pharmacology top 5%
- Microbial Natural Products and Biosynthesis
Papers in
-
- Antimicrobial Peptides and Activities 7
-
- Neuropeptides and Animal Physiology 12
- Co-authors
- Shuichi HironoYoji ArataHidetaka TorigoeIchio ShimadaAkiko T. SaitoMoriyuki SatoIrwin D. KuntzPeter A. Kollman
- Journals
- Bioorganic & Medicinal Chemistry Letters (17 papers)Bioorganic & Medicinal Chemistry (9 papers)Journal of Medicinal Chemistry (6 papers)European Journal of Medicinal Chemistry (4 papers)Chemical and Pharmaceutical Bulletin (4 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Hiroaki Gouda
84 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 124
- Molecular Biology 1.5k
- Pharmacology 260
- Horticulture 14
- Endocrine and Autonomic Systems 97
- Microbiology 85
Countries citing papers authored by Hiroaki Gouda
This map shows the geographic impact of Hiroaki Gouda'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 Hiroaki Gouda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroaki Gouda more than expected).
Fields of papers citing papers by Hiroaki Gouda
This network shows the impact of papers produced by Hiroaki Gouda. 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 Hiroaki Gouda. The network helps show where Hiroaki Gouda may publish in the future.
Co-authors
The 25 scholars most cited alongside Hiroaki Gouda, 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 | 4 | |
| 2 | 2022 | 10 | |
| 3 | 2022 | 3 | |
| 4 | 2021 | 4 | |
| 5 | 2018 | 16 | |
| 6 | 2017 | 25 | |
| 7 | 2017 | 15 | |
| 8 | 2015 | 10 | |
| 9 | 2014 | 16 | |
| 10 | 2013 | 16 | |
| 11 | 2013 | 9 | |
| 12 | 2012 | 5 | |
| 13 | 2012 | 8 | |
| 14 | 2010 | 19 | |
| 15 | 2010 | 7 | |
| 16 | 2009 | 13 | |
| 17 | 2009 | 11 | |
| 18 | 2008 | 57 | |
| 19 | 2007 | 33 | |
| 20 | 1997 | 31 |
About Hiroaki Gouda
Hiroaki Gouda is a scholar working on Microbiology, Cellular and Molecular Neuroscience, Pharmacology, Molecular Biology and Physical and Theoretical Chemistry, having authored 84 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (12 papers), Receptor Mechanisms and Signaling (12 papers), Pharmacological Receptor Mechanisms and Effects (9 papers), Studies on Chitinases and Chitosanases (9 papers), Computational Drug Discovery Methods (8 papers), Antimicrobial Peptides and Activities (7 papers), Carbohydrate Chemistry and Synthesis (7 papers) and Protein Structure and Dynamics (6 papers). The work is most often cited by research in Molecular Biology (1.5k citations), Pharmacology (260 citations), Horticulture (14 citations), Endocrine and Autonomic Systems (97 citations) and Microbiology (85 citations). Hiroaki Gouda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Shuichi Hirono, Yoji Arata, Hidetaka Torigoe, Ichio Shimada, Akiko T. Saito, Moriyuki Sato, Irwin D. Kuntz, Peter A. Kollman, David A. Case and Kanami Yamazaki. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Bioorganic & Medicinal Chemistry, Journal of Medicinal Chemistry, European Journal of Medicinal Chemistry and Chemical and Pharmaceutical Bulletin.
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.