Takuya Awata

9.6k citations
163 papers · 6.4k · h-index 44

Impact in

Papers in

    • Diabetes and associated disorders 50
    • Genetic Mapping and Diversity in Plants and Animals 18
    • Genetic and phenotypic traits in livestock 17
    • Metabolism, Diabetes, and Cancer 17
    • Peroxisome Proliferator-Activated Receptors 15

Takuya Awata

158 papers receiving 6.2k citations

Peers

Takuya Awata
Comparison fields: 5 of 124
  • Endocrinology, Diabetes and Metabolism 1.4k
  • Ophthalmology 707
  • Genetics 2.0k
  • Clinical Biochemistry 358
  • Immunology 859
Replace Marpadga A. Reddy with:
Marpadga A. Reddy United States
William H. Hoffman United States
Katherine Chang United States
Pamela M. Martin United States
Mandeep Bajaj India
Liam J. Murphy Canada
Young Chul Kim South Korea
Tadashi Yamakawa Japan
Christa Buechler Germany
Jun‐ichiro Miyagawa Japan
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Citations per field
00.5×6.1×
Marpadga A. Reddy · 1×
Citations per year

Countries citing papers authored by Takuya Awata

Since Specialization
Citations

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

Fields of papers citing papers by Takuya Awata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Takuya Awata, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Takuya Awata Line = papers co-authored together Takuya Awata links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 163 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002484
2 1994402
3 2000261
4 2001253
5 1983180
6 2012178
7 1998177
8 1991159
9 2006135
10 1998125
11 2009124
12 2005114
13 2005112
14 2000111
15 2002101
16 2010100
17 201389
18 199888
19 200485
20 201184

About Takuya Awata

Takuya Awata is a scholar working on Genetics, Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery and Physiology, having authored 163 papers that have together received 6.4k indexed citations. Recurring topics across this work include Diabetes and associated disorders (50 papers), Pancreatic function and diabetes (39 papers), Diabetes Management and Research (26 papers), Genetic Mapping and Diversity in Plants and Animals (18 papers), Metabolism, Diabetes, and Cancer (17 papers), Genetic and phenotypic traits in livestock (17 papers), Peroxisome Proliferator-Activated Receptors (15 papers) and Adipose Tissue and Metabolism (15 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.4k citations), Ophthalmology (707 citations), Genetics (2.0k citations), Clinical Biochemistry (358 citations) and Immunology (859 citations). Takuya Awata has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Shigehiro Katayama, Ikuo Inoue, Susumu Kurihara, Kouichi Inukai, Masaki Watanabe, Tomoko Ohkubo, Eiji Kawasaki, Akira Shimada, Hiroshi Ikegami and Taro Maruyama. Their work appears in journals such as Animal Genetics, Biochemical and Biophysical Research Communications, Diabetes, Diabetes Research and Clinical Practice and Journal of Diabetes Investigation.

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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