Kaori Sawada
- Molecular Biology
- Physiology top 10%
- Reproductive Medicine top 5%
- Epidemiology
- Public Health, Environmental and Occupational Health
- Co-authors
- Itoyo TokudaKazushige IharaShigeyuki NakajiKazuyoshi UkenaSeiya ImotoNaoki OzatoMasanori KakutaMitsuhiro Katashima
- Topics
- Gut microbiota and health (13 papers)Diet and metabolism studies (11 papers)Liver Disease Diagnosis and Treatment (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Kaori Sawada
66 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Molecular Biology 408
- Physiology 331
- Reproductive Medicine 168
- Epidemiology 144
- Public Health, Environmental and Occupational Health 123
Countries citing papers authored by Kaori Sawada
This map shows the geographic impact of Kaori 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 Kaori Sawada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaori Sawada more than expected).
Fields of papers citing papers by Kaori Sawada
This network shows the impact of papers produced by Kaori 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 Kaori Sawada. The network helps show where Kaori Sawada may publish in the future.
Co-authorship network of co-authors of Kaori Sawada
This figure shows the co-authorship network connecting the top 25 collaborators of Kaori Sawada. A scholar is included among the top collaborators of Kaori Sawada 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 Kaori Sawada. Kaori Sawada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 18 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 7 | |
| 10 | 39 | |
| 11 | 4 | |
| 12 | 13 | |
| 13 | 5 | |
| 14 | 18 | |
| 15 | 1 | |
| 16 | Blautia genus associated with visceral fat accumulation in adults 20–76 years of agebreakdown → | 285 |
| 17 | 0 | |
| 18 | 4 | |
| 19 | The Relationship between Muscle Damage and Reactive Oxygen Species Production Capability after Judo Exercise | 2 |
| 20 | 60 |
About Kaori Sawada
Kaori Sawada is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Physiology, having authored 73 papers that have together received 1.2k indexed citations. Recurring topics across this work include Gut microbiota and health (13 papers), Diet and metabolism studies (11 papers) and Liver Disease Diagnosis and Treatment (9 papers). The work is most often cited by research in Reproductive Medicine (168 citations), Biological Psychiatry (37 citations) and Periodontics (66 citations). Kaori Sawada has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Itoyo Tokuda, Kazushige Ihara, Shigeyuki Nakaji, Kazuyoshi Ukena, Seiya Imoto, Naoki Ozato, Shigeyuki Nakaji, Masanori Kakuta, Mitsuhiro Katashima and Yoshihisa Katsuragi. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.
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.