Wataru Yano
- Epidemiology top 2%
- Physiology top 5%
- Molecular Biology
- Endocrine and Autonomic Systems top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Co-authors
- Tetsuya KubotaMasao MoroiYasuo TerauchiTakashi KadowakiToshimasa YamauchiPhilippe Froguel永井 良三Tetsuo Yamashita
- Topics
- Morphological variations and asymmetry (7 papers)Adipokines, Inflammation, and Metabolic Diseases (5 papers)Adipose Tissue and Metabolism (4 papers)
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Wataru Yano
36 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Epidemiology 1.0k
- Physiology 762
- Molecular Biology 510
- Endocrine and Autonomic Systems 377
- Cardiology and Cardiovascular Medicine 313
Countries citing papers authored by Wataru Yano
This map shows the geographic impact of Wataru Yano'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 Wataru Yano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wataru Yano more than expected).
Fields of papers citing papers by Wataru Yano
This network shows the impact of papers produced by Wataru Yano. 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 Wataru Yano. The network helps show where Wataru Yano may publish in the future.
Co-authorship network of co-authors of Wataru Yano
This figure shows the co-authorship network connecting the top 25 collaborators of Wataru Yano. A scholar is included among the top collaborators of Wataru Yano 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 Wataru Yano. Wataru Yano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 7 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 39 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 35 | |
| 9 | 2 | |
| 10 | 269 | |
| 11 | 29 | |
| 12 | 189 | |
| 13 | Disruption of Adiponectin Causes Insulin Resistance and Neointimal Formationbreakdown → | 984 |
| 14 | 0 | |
| 15 | 0 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | 12 | |
| 19 | Studies on the Evaluation Methods of Surface Active Agents. IV.:Semimicro Continuous Method of Wetting Test (Tensiometer Method) | 8 |
| 20 | 6 |
About Wataru Yano
Wataru Yano is a scholar working on Paleontology, Geometry and Topology and Polymers and Plastics, having authored 43 papers that have together received 1.9k indexed citations. Recurring topics across this work include Morphological variations and asymmetry (7 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers) and Adipose Tissue and Metabolism (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (377 citations), Epidemiology (1.0k citations) and Physiology (762 citations). Wataru Yano has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Tetsuya Kubota, Masao Moroi, Yasuo Terauchi, Takashi Kadowaki, Toshimasa Yamauchi, Philippe Froguel, 永井 良三, Tetsuo Yamashita, Hiroaki Satoh and Satoshi Kimura. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and PLoS ONE.
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.