Takehiro Kiko

776 total citations
9 papers, 651 citations indexed

About

Takehiro Kiko is a scholar working on Physiology, Molecular Biology and Biochemistry. According to data from OpenAlex, Takehiro Kiko has authored 9 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Physiology, 4 papers in Molecular Biology and 4 papers in Biochemistry. Recurrent topics in Takehiro Kiko's work include Alzheimer's disease research and treatments (5 papers), Antioxidant Activity and Oxidative Stress (4 papers) and Biochemical effects in animals (3 papers). Takehiro Kiko is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), Antioxidant Activity and Oxidative Stress (4 papers) and Biochemical effects in animals (3 papers). Takehiro Kiko collaborates with scholars based in Japan. Takehiro Kiko's co-authors include Kiyotaka Nakagawa, Teruo Miyazawa, Hiroyuki Arai, Tsuyoshi Tsuduki, Katsutoshi Furukawa, Akira Satoh, Taiki Miyazawa, Fumiko Kimura, Phumon Sookwong and Gregor Carpentero Burdeos and has published in prestigious journals such as PLoS ONE, Analytical Biochemistry and FEBS Letters.

In The Last Decade

Takehiro Kiko

9 papers receiving 642 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Takehiro Kiko Japan	9	307	256	198	143	88	9	651
Janina Dose Germany	9	223 0.7×	121 0.5×	101 0.5×	31 0.2×	27 0.3×	12	528
Nihat Dilsiz Türkiye	17	500 1.6×	78 0.3×	82 0.4×	190 1.3×	42 0.5×	36	860
Ana Cañuelo Spain	16	243 0.8×	170 0.7×	71 0.4×	58 0.4×	47 0.5×	25	597
Yonghao Feng China	12	239 0.8×	124 0.5×	45 0.2×	128 0.9×	51 0.6×	21	522
Suk-Yee Li Hong Kong	11	341 1.1×	83 0.3×	162 0.8×	24 0.2×	142 1.6×	12	822
Men Wu China	8	187 0.6×	88 0.3×	43 0.2×	117 0.8×	52 0.6×	9	402
Manabu Takemura Japan	12	168 0.5×	65 0.3×	100 0.5×	25 0.2×	65 0.7×	22	476
Mingyue Qu China	10	223 0.7×	117 0.5×	140 0.7×	15 0.1×	55 0.6×	19	490
Zhenzhen Qu China	14	217 0.7×	92 0.4×	49 0.2×	36 0.3×	73 0.8×	40	613
Natàlia Mota‐Martorell Spain	16	469 1.5×	271 1.1×	39 0.2×	35 0.2×	42 0.5×	40	815

Countries citing papers authored by Takehiro Kiko

Since Specialization

Citations

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

Fields of papers citing papers by Takehiro Kiko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takehiro Kiko

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Yamashita, Shinji, Takehiro Kiko, Hironori Fujiwara, et al.. (2016). Alterations in the Levels of Amyloid-β, Phospholipid Hydroperoxide, and Plasmalogen in the Blood of Patients with Alzheimer’s Disease: Possible Interactions between Amyloid-β and These Lipids. Journal of Alzheimer s Disease. 50(2). 527–537. 47 indexed citations

2.

Kiko, Takehiro, Kiyotaka Nakagawa, Tsuyoshi Tsuduki, et al.. (2014). MicroRNAs in Plasma and Cerebrospinal Fluid as Potential Markers for Alzheimer's Disease. Journal of Alzheimer s Disease. 39(2). 253–259. 214 indexed citations

3.

Kiko, Takehiro, Kiyotaka Nakagawa, Akira Satoh, et al.. (2012). Amyloid β Levels in Human Red Blood Cells. PLoS ONE. 7(11). e49620–e49620. 76 indexed citations

4.

Kiko, Takehiro, Kiyotaka Nakagawa, Tsuyoshi Tsuduki, et al.. (2012). Significance of Lutein in Red Blood Cells of Alzheimer's Disease Patients. Journal of Alzheimer s Disease. 28(3). 593–600. 52 indexed citations

5.

Nakagawa, Kiyotaka, Takehiro Kiko, Taiki Miyazawa, et al.. (2011). Amyloid β-induced erythrocytic damage and its attenuation by carotenoids. FEBS Letters. 585(8). 1249–1254. 46 indexed citations

6.

Nakagawa, Kiyotaka, Takehiro Kiko, Taiki Miyazawa, et al.. (2011). Antioxidant effect of astaxanthin on phospholipid peroxidation in human erythrocytes. British Journal Of Nutrition. 105(11). 1563–1571. 109 indexed citations

7.

Nakagawa, Kiyotaka, et al.. (2011). Amyloid β Induces Adhesion of Erythrocytes to Endothelial Cells and Affects Endothelial Viability and Functionality. Bioscience Biotechnology and Biochemistry. 75(10). 2030–2033. 28 indexed citations

8.

Nakagawa, Kiyotaka, et al.. (2009). Antioxidant effect of lutein towards phospholipid hydroperoxidation in human erythrocytes. British Journal Of Nutrition. 102(9). 1280–1284. 38 indexed citations

9.

Nakagawa, Kiyotaka, Takehiro Kiko, Akira Asai, et al.. (2008). Development of a high-performance liquid chromatography-based assay for carotenoids in human red blood cells: Application to clinical studies. Analytical Biochemistry. 381(1). 129–134. 41 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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