Takashi Koikeda

493 total citations
14 papers, 393 citations indexed

About

Takashi Koikeda is a scholar working on Physiology, Nutrition and Dietetics and Molecular Biology. According to data from OpenAlex, Takashi Koikeda has authored 14 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 4 papers in Nutrition and Dietetics and 3 papers in Molecular Biology. Recurrent topics in Takashi Koikeda's work include Biochemical effects in animals (4 papers), Hair Growth and Disorders (2 papers) and Dermatology and Skin Diseases (2 papers). Takashi Koikeda is often cited by papers focused on Biochemical effects in animals (4 papers), Hair Growth and Disorders (2 papers) and Dermatology and Skin Diseases (2 papers). Takashi Koikeda collaborates with scholars based in Japan, China and United States. Takashi Koikeda's co-authors include Hiroki Tsukahara, Kumie Ito, Norio Tada, Hidekatsu Yanai, Yoshiharu Tomono, Hiroshi Yoshida, Yasuhisa Ano, Keiko Kobayashi, Ryoichi Ochiai and Noriko Osaki and has published in prestigious journals such as Nutrients, Atherosclerosis and Frontiers in Neuroscience.

In The Last Decade

Takashi Koikeda

14 papers receiving 380 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Takashi Koikeda Japan 8 128 97 96 91 44 14 393
Mayumi Ikeuchi Japan 9 159 1.2× 134 1.4× 101 1.1× 82 0.9× 67 1.5× 18 478
Chai Siah Ku United States 11 179 1.4× 156 1.6× 88 0.9× 105 1.2× 24 0.5× 14 579
Vincenzo Sorrenti Italy 15 88 0.7× 193 2.0× 120 1.3× 75 0.8× 18 0.4× 21 630
Saravanan Bhuvaneswari India 6 197 1.5× 106 1.1× 80 0.8× 120 1.3× 32 0.7× 6 390
Jen Kit Tan Malaysia 14 59 0.5× 159 1.6× 104 1.1× 34 0.4× 38 0.9× 60 484
Jo Aan Goon Malaysia 15 101 0.8× 127 1.3× 93 1.0× 53 0.6× 12 0.3× 39 495
Olivier Aust Germany 7 336 2.6× 162 1.7× 89 0.9× 83 0.9× 35 0.8× 7 652
Ewa Sokoła-Wysoczańska Poland 7 44 0.3× 104 1.1× 62 0.6× 154 1.7× 11 0.3× 14 407
Elliot D. Jesch United States 12 41 0.3× 134 1.4× 69 0.7× 102 1.1× 16 0.4× 24 455
Lucı́a Quevedo-Corona Mexico 12 46 0.4× 144 1.5× 91 0.9× 78 0.9× 10 0.2× 23 437

Countries citing papers authored by Takashi Koikeda

Since Specialization
Citations

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

Fields of papers citing papers by Takashi Koikeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takashi Koikeda

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

All Works

14 of 14 papers shown
3.
Ito, Mamoru, et al.. (2023). Effects of high-fiber food product consumption and personal health record use on body mass index and bowel movement. Journal of Functional Foods. 102. 105443–105443. 11 indexed citations
6.
Ano, Yasuhisa, Keiko Kobayashi, Takashi Koikeda, & Ryuta Kawashima. (2021). β-Lactolin, a Whey-Derived Gly-Thr-Trp-Tyr Lactopeptide, Promotes Cerebral Blood Flow During Cognitive Tasks: A Randomized Controlled Trial. Current Developments in Nutrition. 5. 889–889. 1 indexed citations
8.
Ochiai, Ryoichi, Kazuya Kozuma, Hirotaka Sato, et al.. (2018). Effect of Chlorogenic Acids on Cognitive Function: A Randomized, Double-Blind, Placebo-Controlled Trial. Nutrients. 10(10). 1337–1337. 52 indexed citations
9.
Koikeda, Takashi, et al.. (2017). Effects of Dietary Plasmalogens on Brain Function in the Healthy Subjects-Randomized Double-blind Placebo-controlled Parallel Group Comparison-. 45(9). 1511–1521. 1 indexed citations
10.
Tashiro, Toshiyuki, Hideto Yoshida, Hiroshi Nishiyama, et al.. (2015). Oral hyaluronan relieves knee pain: a review. Nutrition Journal. 15(1). 11–11. 54 indexed citations
11.
Koikeda, Takashi, et al.. (2014). Effects of Collagen Peptide Ingestion on Skin Properties-Placebo-controlled Double-blind Trial-. 42(12). 995–1004. 5 indexed citations
12.
Kishi, Yutaka, et al.. (2013). Soy peptide dietary supplementation increases serum dopamine level and improves cognitive dysfunction in subjects with mild cognitive impairment. 41(1). 67–73. 12 indexed citations
13.
Yoshida, Hiroshi, Hidekatsu Yanai, Kumie Ito, et al.. (2009). Administration of natural astaxanthin increases serum HDL-cholesterol and adiponectin in subjects with mild hyperlipidemia. Atherosclerosis. 209(2). 520–523. 203 indexed citations
14.
Tsukahara, Hiroki, et al.. (2008). Supplementation Effect of Astaxanthin on Blood Flow and Shoulder Stiffness -A Preliminary Pilot Study-. 5(1). 49–56. 7 indexed citations

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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