Ryusuke Takechi

3.2k citations
111 papers · 2.5k · h-index 28

Impact in

  • Neurology top 2%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Barrier Structure and Function Studies
    • Neurological Disease Mechanisms and Treatments

Papers in

Ryusuke Takechi

109 papers receiving 2.4k citations

Peers

Ryusuke Takechi
Comparison fields: 5 of 138
  • Neurology 430
  • Biological Psychiatry 106
  • Physiology 568
  • Nutrition and Dietetics 236
  • Endocrine and Autonomic Systems 77
Replace Virginie Lam with:
Virginie Lam Australia
Thomas J. Abbruscato United States
Rita Citraro Italy
Bhupesh Sharma India
Anika M. S. Hartz United States
Pradip K. Kamat United States
Philippe Garnier France
Yong Wei China
Anupom Borah India
Michael L. Niehoff United States
Ryusuke Takechi relative to Virginie Lam Australia Virginie Lam's profile →
Citations per field
00.5×1.6×
Virginie Lam · 1×
Citations per year

Countries citing papers authored by Ryusuke Takechi

Since Specialization
Citations

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

Fields of papers citing papers by Ryusuke Takechi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ryusuke Takechi, 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 Ryusuke Takechi Line = papers co-authored together Ryusuke Takechi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015230
2 2017131
3 2020118
4 200975
5 200674
6 200965
7 201257
8 201757
9 201352
10 201247
11 202045
12 201844
13 201243
14 201843
15 201442
16 201842
17 200941
18 200939
19 201937
20 200836

About Ryusuke Takechi

Ryusuke Takechi is a scholar working on Physiology, Molecular Biology, Nutrition and Dietetics, Neurology and Surgery, having authored 111 papers that have together received 2.5k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (18 papers), Barrier Structure and Function Studies (8 papers), Cannabis and Cannabinoid Research (8 papers), Pancreatic function and diabetes (7 papers), Fatty Acid Research and Health (7 papers), Trace Elements in Health (7 papers), Diet and metabolism studies (6 papers) and Traumatic Brain Injury and Neurovascular Disturbances (5 papers). The work is most often cited by research in Neurology (430 citations), Biological Psychiatry (106 citations), Physiology (568 citations), Nutrition and Dietetics (236 citations) and Endocrine and Autonomic Systems (77 citations). Ryusuke Takechi has collaborated with scholars based in Australia, United States and Japan. Frequent co-authors include John Mamo, Virginie Lam, Menuka M. Pallebage‐Gamarallage, Hani Al‐Salami, Corey Giles, Susan Galloway, Satvinder S. Dhaliwal, Armin Mooranian, Michael Nesbit and Mina Elahy. Their work appears in journals such as Lipids in Health and Disease, PLoS ONE, Nutrients, Frontiers in Nutrition and Atherosclerosis Supplements.

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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