Takuya Kitamura

783 total citations
26 papers, 600 citations indexed

About

Takuya Kitamura is a scholar working on Molecular Biology, Cell Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Takuya Kitamura has authored 26 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Cell Biology and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Takuya Kitamura's work include Lipid metabolism and biosynthesis (5 papers), Skin and Cellular Biology Research (4 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). Takuya Kitamura is often cited by papers focused on Lipid metabolism and biosynthesis (5 papers), Skin and Cellular Biology Research (4 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). Takuya Kitamura collaborates with scholars based in Japan and United States. Takuya Kitamura's co-authors include Akio Kihara, Tatsuro Naganuma, Yusuke Ohno, Raphael A. Zoeller, Shinichi Saito, Hyuma Masu, Isao Azumaya, Ryu Yamasaki, Takashi Obara and Takayuki Sassa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Takuya Kitamura

22 papers receiving 596 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takuya Kitamura Japan 11 330 136 129 84 74 26 600
Ayano Fukuhara Japan 10 367 1.1× 26 0.2× 54 0.4× 32 0.4× 58 0.8× 12 540
Yurika Miyake Japan 6 448 1.4× 72 0.5× 137 1.1× 54 0.6× 114 1.5× 8 638
Anu Chaudhary United States 11 520 1.6× 74 0.5× 404 3.1× 38 0.5× 41 0.6× 17 687
Evelyne Steenvoorden Netherlands 6 278 0.8× 46 0.3× 48 0.4× 23 0.3× 122 1.6× 7 498
Anja Schütz Germany 11 297 0.9× 30 0.2× 116 0.9× 115 1.4× 21 0.3× 20 519
Daniel Stafford United States 8 546 1.7× 143 1.1× 257 2.0× 9 0.1× 70 0.9× 10 764
Yuko Kawasaki Japan 14 330 1.0× 34 0.3× 74 0.6× 93 1.1× 56 0.8× 33 510
F. Steckel Germany 11 236 0.7× 87 0.6× 102 0.8× 25 0.3× 213 2.9× 14 509
R. J. S. Duncan United Kingdom 12 277 0.8× 45 0.3× 83 0.6× 56 0.7× 72 1.0× 17 534
Meritxell Egido‐Gabás Spain 12 279 0.8× 230 1.7× 62 0.5× 28 0.3× 170 2.3× 16 423

Countries citing papers authored by Takuya Kitamura

Since Specialization
Citations

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

Fields of papers citing papers by Takuya Kitamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuya Kitamura

This figure shows the co-authorship network connecting the top 25 collaborators of Takuya Kitamura. A scholar is included among the top collaborators of Takuya Kitamura 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 Takuya Kitamura. Takuya Kitamura 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
1.
Kitamura, Takuya, et al.. (2023). Acoustic Control System Using Boundary Vibration with Giant Magnetostrictive Actuator. Journal of the Japan Society of Applied Electromagnetics and Mechanics. 31(2). 244–250.
2.
Kitamura, Takuya, et al.. (2023). A study on masking system using 1/f fluctuation to improve comfort in ultra-compact EVs. International Journal of Applied Electromagnetics and Mechanics. 71(1_suppl). S373–S382.
3.
Kitamura, Takuya, et al.. (2022). Intramuscular Circulation of the Lumbar Multifidus in Different Trunk Positions on Standing. Advances in experimental medicine and biology. 1395. 405–409. 1 indexed citations
4.
Kitamura, Takuya, et al.. (2022). Calculation of 1/f Fluctuation from Sound Signal and Comfort Evaluation. Applied Sciences. 12(19). 9425–9425. 1 indexed citations
6.
Kitamura, Takuya, et al.. (2022). The Intramuscular Circulation Is Affected by Neck and Shoulder Pain. Advances in experimental medicine and biology. 1395. 399–403.
7.
Kitamura, Takuya, et al.. (2021). Impaired Skin Barrier Function Due to Reduced ω-O-Acylceramide Levels in a Mouse Model of Sjögren-Larsson Syndrome. Molecular and Cellular Biology. 41(10). e0035221–e0035221. 4 indexed citations
8.
9.
Mori, K., Takashi Obara, Masatoshi Miyamoto, et al.. (2020). Catalytic residues, substrate specificity, and role in carbon starvation of the 2-hydroxy FA dioxygenase Mpo1 in yeast. Journal of Lipid Research. 61(7). 1104–1114. 4 indexed citations
10.
Mori, K., et al.. (2018). Yeast Mpo1 Is a Novel Dioxygenase That Catalyzes the α-Oxidation of a 2-Hydroxy Fatty Acid in an Fe2+-Dependent Manner. Molecular and Cellular Biology. 39(5). 8 indexed citations
11.
Honda, Yuichi, Takuya Kitamura, Tatsuro Naganuma, et al.. (2017). Decreased Skin Barrier Lipid Acylceramide and Differentiation-Dependent Gene Expression in Ichthyosis Gene Nipal4-Knockout Mice. Journal of Investigative Dermatology. 138(4). 741–749. 23 indexed citations
13.
Naganuma, Tatsuro, Takuya Kitamura, Satoko Hattori, et al.. (2016). Disruption of the Sjögren-Larsson Syndrome Gene Aldh3a2 in Mice Increases Keratinocyte Growth and Retards Skin Barrier Recovery. Journal of Biological Chemistry. 291(22). 11676–11688. 26 indexed citations
14.
Ohno, Yusuke, et al.. (2014). Identification of the phytosphingosine metabolic pathway leading to odd-numbered fatty acids. Nature Communications. 5(1). 5338–5338. 82 indexed citations
15.
Kitamura, Takuya, et al.. (2014). Mouse aldehyde dehydrogenase ALDH3B2 is localized to lipid droplets via two C-terminal tryptophan residues and lipid modification. Biochemical Journal. 465(1). 79–87. 54 indexed citations
16.
Kitamura, Takuya, et al.. (2013). Substrate specificity, plasma membrane localization, and lipid modification of the aldehyde dehydrogenase ALDH3B1. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1831(8). 1395–1401. 29 indexed citations
17.
Yamasaki, Ryu, Masato Ohashi, Takuya Kitamura, et al.. (2013). Ni‐Catalyzed [4+3+2] Cycloaddition of Ethyl Cyclopropylideneacetate and Dienynes: Scope and Mechanistic Insights. Chemistry - A European Journal. 19(10). 3415–3425. 39 indexed citations
18.
Kitamura, Takuya, et al.. (2012). The impulsive noise reduction using it's replica signal under Class-A impulsive channel. Wireless Personal Multimedia Communications. 463–467. 9 indexed citations
19.
Kitamura, Takuya, et al.. (2012). The Sjögren-Larsson Syndrome Gene Encodes a Hexadecenal Dehydrogenase of the Sphingosine 1-Phosphate Degradation Pathway. Molecular Cell. 46(4). 461–471. 132 indexed citations
20.
Saito, Shinichi, et al.. (2010). Synthesis of Nine‐Membered Carbocycles by the [4+3+2] Cycloaddition Reaction of Ethyl Cyclopropylideneacetate and Dienynes. Angewandte Chemie International Edition. 49(10). 1830–1833. 71 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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