Sachiyo Tanaka
- Epidemiology top 0.2%
- Physiology top 0.2%
- Cardiology and Cardiovascular Medicine top 1%
- Endocrine and Autonomic Systems top 0.2%
- Molecular Biology top 5%
- Co-authors
- Tohru FunahashiYūji MatsuzawaP. Antonio TataranniKikuko HottaChristian WeyerRichard E. PratleyTong‐Yuan TaiRobert L. Hanson
- Topics
- Adipokines, Inflammation, and Metabolic Diseases (18 papers)Adipose Tissue and Metabolism (9 papers)Blood properties and coagulation (4 papers)
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Sachiyo Tanaka
37 papers receiving 8.2k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Epidemiology 6.0k
- Physiology 4.0k
- Cardiology and Cardiovascular Medicine 2.0k
- Endocrine and Autonomic Systems 1.9k
- Molecular Biology 1.3k
Countries citing papers authored by Sachiyo Tanaka
This map shows the geographic impact of Sachiyo Tanaka'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 Sachiyo Tanaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sachiyo Tanaka more than expected).
Fields of papers citing papers by Sachiyo Tanaka
This network shows the impact of papers produced by Sachiyo Tanaka. 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 Sachiyo Tanaka. The network helps show where Sachiyo Tanaka may publish in the future.
Co-authorship network of co-authors of Sachiyo Tanaka
This figure shows the co-authorship network connecting the top 25 collaborators of Sachiyo Tanaka. A scholar is included among the top collaborators of Sachiyo Tanaka 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 Sachiyo Tanaka. Sachiyo Tanaka 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 | 2 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 11 | |
| 11 | 15 | |
| 12 | 20 | |
| 13 | 112 | |
| 14 | 60 | |
| 15 | 112 | |
| 16 | 186 | |
| 17 | Adiponectin, Metabolic Risk Factors, and Cardiovascular Events among Patients with End-Stage Renal Diseasebreakdown → | 672 |
| 18 | Adiponectin and development of type 2 diabetes in the Pima Indian populationbreakdown → | 887 |
| 19 | Weight Reduction Increases Plasma Levels of an Adipose-Derived Anti-Inflammatory Protein, Adiponectinbreakdown → | 969 |
| 20 | Problems in endocrinological studies relating to the polymorphism of hormones. | 1 |
About Sachiyo Tanaka
Sachiyo Tanaka is a scholar working on Small Animals, Equine and Endocrine and Autonomic Systems, having authored 37 papers that have together received 8.5k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (18 papers), Adipose Tissue and Metabolism (9 papers) and Blood properties and coagulation (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.9k citations), Epidemiology (6.0k citations) and Physiology (4.0k citations). Sachiyo Tanaka has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Tohru Funahashi, Yūji Matsuzawa, P. Antonio Tataranni, Kikuko Hotta, Christian Weyer, Richard E. Pratley, Tong‐Yuan Tai, Robert L. Hanson, Lee‐Ming Chuang and Wei‐Shiung Yang. Their work appears in journals such as The Lancet, Nucleic Acids Research 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.