Takanari Gotoda

10.7k citations
114 papers · 8.4k indexed · 1 hit paper · h-index 48
Topics
Cholesterol and Lipid Metabolism (32 papers)Peroxisome Proliferator-Activated Receptors (23 papers)Lipid metabolism and disorders (22 papers)

In The Last Decade

Takanari Gotoda

113 papers receiving 8.2k citations

Hit Papers

Sterol Regulatory Element-binding Protein-1 as a Key Tran...19992026200820171999100200300400500

Peers

Takanari Gotoda
Comparison fields: 5 of 120
  • Molecular Biology 3.8k
  • Surgery 3.1k
  • Endocrinology, Diabetes and Metabolism 1.8k
  • Epidemiology 1.4k
  • Physiology 1.3k
Replace Jun-ichi Osuga with:
Jun-ichi Osuga Japan
Catherine Fiévet France
Catherine Postic France
Youfei Guan China
Ken Ohashi Japan
Yoko Iizuka Japan
Ronald E. Law United States
Jean Girard France
Renee Leboeuf United States
Theodore P. Ciaraldi United States
Takanari Gotoda relative to Jun-ichi Osuga Japan Jun-ichi Osuga's profile →
Citations per field
00.5×1.5×
Jun-ichi Osuga · 1×
Citations per year

Countries citing papers authored by Takanari Gotoda

Since Specialization
Citations

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

Fields of papers citing papers by Takanari Gotoda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takanari Gotoda

This figure shows the co-authorship network connecting the top 25 collaborators of Takanari Gotoda. A scholar is included among the top collaborators of Takanari Gotoda 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 Takanari Gotoda. Takanari Gotoda 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
#WorkIndexed citations
1 4
2 138
3 203
4 4
5 11
6 102
7 301
8 31
9 221
10 126
11 171
12 21
13 35
14 117
15 1
16 2
17 14
18 2
19 16
20 17

About Takanari Gotoda

Takanari Gotoda is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry and Cancer Research, having authored 114 papers that have together received 8.4k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (32 papers), Peroxisome Proliferator-Activated Receptors (23 papers) and Lipid metabolism and disorders (22 papers). The work is most often cited by research in Biochemistry (1.2k citations), Endocrinology, Diabetes and Metabolism (1.8k citations) and Cancer Research (1.2k citations). Takanari Gotoda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hitoshi Shimano, Shun Ishibashi, Nobuhiro Yamada, Kenji Harada, Jun-ichi Osuga, Naoya Yahagi, Yoko Iizuka, Ken Ohashi, Yoshiaki Tamura and Hiroaki Okazaki. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.

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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