Taira Wada

3.7k total citations · 1 hit paper
34 papers, 3.1k citations indexed

About

Taira Wada is a scholar working on Physiology, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Taira Wada has authored 34 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Physiology, 12 papers in Molecular Biology and 9 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Taira Wada's work include Adipose Tissue and Metabolism (16 papers), Drug Transport and Resistance Mechanisms (6 papers) and Cholesterol and Lipid Metabolism (6 papers). Taira Wada is often cited by papers focused on Adipose Tissue and Metabolism (16 papers), Drug Transport and Resistance Mechanisms (6 papers) and Cholesterol and Lipid Metabolism (6 papers). Taira Wada collaborates with scholars based in Japan, United States and China. Taira Wada's co-authors include Wen Xie, Shigeki Shimba, Jie Gao, Jinhan He, Masakatsu Tezuka, Yonggong Zhai, Maria Febbraio, Ken‐ichi Honma, Sato Honma and Song Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Gastroenterology.

In The Last Decade

Taira Wada

34 papers receiving 3.0k citations

Hit Papers

Hepatic Fatty Acid Transporter Cd36 Is a Common Target of... 2007 2026 2013 2019 2007 100 200 300 400 500

Peers

Taira Wada
Comparison fields: 5 of 115
  • Molecular Biology 1.1k
  • Physiology 945
  • Endocrine and Autonomic Systems 687
  • Epidemiology 588
  • Endocrinology, Diabetes and Metabolism 465
Replace Mohammed Qatanani with:
Mohammed Qatanani United States
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Henry Juguilon United States
Yonggong Zhai China
Xunshan Ding United States
Giovanni Solinas Switzerland
Ling-Wa Chong United States
Todd Leff United States
John M. Stafford United States
Philippe Gervois France
Mohammed Qatanani United States View profile →
Citations per field, relative to Taira Wada
Taira Wada · 1×
Citations per year, relative to Taira Wada
Taira Wada · 1×

Countries citing papers authored by Taira Wada

Since Specialization
Citations

This map shows the geographic impact of Taira Wada'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 Taira Wada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taira Wada more than expected).

Fields of papers citing papers by Taira Wada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Taira Wada. 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 Taira Wada. The network helps show where Taira Wada may publish in the future.

Co-authorship network of co-authors of Taira Wada

This figure shows the co-authorship network connecting the top 25 collaborators of Taira Wada. A scholar is included among the top collaborators of Taira Wada 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 Taira Wada. Taira Wada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 24
3 4
4 15
5 12
6 70
7 42
8 36
9 216
10 165
11 40
12 200
13 194
14 130
15 35
16
Hepatic Fatty Acid Transporter Cd36 Is a Common Target of LXR, PXR, and PPARγ in Promoting Steatosis breakdown →
505
17 82
18 24
19 439
20 69

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.

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2026