Akira Sawaguchi
- Endocrine and Autonomic Systems top 0.5%
- Physiology top 2%
- Molecular Biology top 10%
- Nutrition and Dietetics top 0.5%
- Hematology top 1%
- Co-authors
- Yukari DateKenji KangawaMasamitsu NakazatoMuhtashan S. MondalMasayasu KojimaShigeru MatsukuraHiroshi HosodaKoji Eto
- Topics
- Platelet Disorders and Treatments (14 papers)Neuroscience of respiration and sleep (12 papers)Glycosylation and Glycoproteins Research (8 papers)
- Partner nations
- JapanUnited StatesPakistan
In The Last Decade
Akira Sawaguchi
95 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Endocrine and Autonomic Systems 1.4k
- Physiology 964
- Molecular Biology 958
- Nutrition and Dietetics 954
- Hematology 694
Countries citing papers authored by Akira Sawaguchi
This map shows the geographic impact of Akira Sawaguchi'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 Akira Sawaguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akira Sawaguchi more than expected).
Fields of papers citing papers by Akira Sawaguchi
This network shows the impact of papers produced by Akira Sawaguchi. 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 Akira Sawaguchi. The network helps show where Akira Sawaguchi may publish in the future.
Co-authorship network of co-authors of Akira Sawaguchi
This figure shows the co-authorship network connecting the top 25 collaborators of Akira Sawaguchi. A scholar is included among the top collaborators of Akira Sawaguchi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Akira Sawaguchi. Akira Sawaguchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 19 | |
| 5 | 4 | |
| 6 | 15 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 63 | |
| 10 | 22 | |
| 11 | 44 | |
| 12 | 16 | |
| 13 | 21 | |
| 14 | 2 | |
| 15 | 48 | |
| 16 | 10 | |
| 17 | Ghrelin, a Novel Growth Hormone-Releasing Acylated Peptide, Is Synthesized in a Distinct Endocrine Cell Type in the Gastrointestinal Tracts of Rats and Humans1breakdown → | 1459 |
| 18 | Factor I (IF) polymorphism in the Japanese population: existence of a new variant and quantitative analysis of different allotypes. | 1 |
| 19 | 8 | |
| 20 | 3 |
About Akira Sawaguchi
Akira Sawaguchi is a scholar working on Structural Biology, Endocrine and Autonomic Systems and Hematology, having authored 100 papers that have together received 3.8k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (14 papers), Neuroscience of respiration and sleep (12 papers) and Glycosylation and Glycoproteins Research (8 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.4k citations), Nutrition and Dietetics (954 citations) and Hematology (694 citations). Akira Sawaguchi has collaborated with scholars based in Japan, United States and Pakistan. Frequent co-authors include Yukari Date, Kenji Kangawa, Masamitsu Nakazato, Muhtashan S. Mondal, Masayasu Kojima, Shigeru Matsukura, Hiroshi Hosoda, Koji Eto, Naoya Takayama and Hiromitsu Nakauchi. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.
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.