Takuya Yokoyama

570 total citations
60 papers, 424 citations indexed

About

Takuya Yokoyama is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Takuya Yokoyama has authored 60 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Endocrine and Autonomic Systems, 15 papers in Cellular and Molecular Neuroscience and 11 papers in Physiology. Recurrent topics in Takuya Yokoyama's work include Neuroscience of respiration and sleep (23 papers), Adenosine and Purinergic Signaling (11 papers) and Biochemical Analysis and Sensing Techniques (10 papers). Takuya Yokoyama is often cited by papers focused on Neuroscience of respiration and sleep (23 papers), Adenosine and Purinergic Signaling (11 papers) and Biochemical Analysis and Sensing Techniques (10 papers). Takuya Yokoyama collaborates with scholars based in Japan, Australia and United States. Takuya Yokoyama's co-authors include Yoshio Yamamoto, Nobuaki Nakamuta, Huihui Wang, Daiju Tsuya, Mitsuru Izumi, Hitoshi Ohnuki, Tomoyuki Saino, Hideaki Endo, Ryuzo Ohno and Tatsumi Kusakabe and has published in prestigious journals such as Nature Communications, The Journal of Physiology and Biochemistry.

In The Last Decade

Takuya Yokoyama

56 papers receiving 419 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 Yokoyama Japan 11 134 117 80 57 56 60 424
Shadi Damanpour United States 7 166 1.2× 57 0.5× 171 2.1× 23 0.4× 131 2.3× 13 573
Jeremy Sauer United States 5 125 0.9× 58 0.5× 277 3.5× 40 0.7× 139 2.5× 6 621
Claire E. Richardson United States 10 299 2.2× 63 0.5× 104 1.3× 27 0.5× 135 2.4× 15 779
Takashi Ueno Japan 16 242 1.8× 172 1.5× 32 0.4× 38 0.7× 70 1.3× 36 854
Yong‐Biao Zhang China 14 250 1.9× 96 0.8× 52 0.7× 65 1.1× 19 0.3× 44 728
Sayaka Inoue Japan 9 154 1.1× 75 0.6× 45 0.6× 18 0.3× 88 1.6× 27 501
Damien S. K. Samways United States 18 508 3.8× 223 1.9× 38 0.5× 32 0.6× 155 2.8× 34 985
Asuka Takeishi Japan 8 160 1.2× 100 0.9× 86 1.1× 24 0.4× 94 1.7× 13 550
Razia Sultana United States 12 246 1.8× 16 0.1× 27 0.3× 57 1.0× 76 1.4× 22 629
Surbhi Gahlot India 13 75 0.6× 144 1.2× 42 0.5× 136 2.4× 48 0.9× 59 735

Countries citing papers authored by Takuya Yokoyama

Since Specialization
Citations

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

Fields of papers citing papers by Takuya Yokoyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuya Yokoyama

This figure shows the co-authorship network connecting the top 25 collaborators of Takuya Yokoyama. A scholar is included among the top collaborators of Takuya Yokoyama 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 Yokoyama. Takuya Yokoyama 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.
Yokoyama, Takuya, Tomoyuki Saino, Nobuaki Nakamuta, & Yoshio Yamamoto. (2024). Immunohistochemical localization of P2Y12 purinoceptors in the rat carotid body. Autonomic Neuroscience. 252. 103158–103158. 1 indexed citations
2.
Yokoyama, Takuya, et al.. (2024). Fos expression in A1/C1 neurons of rats exposed to hypoxia, hypercapnia, or hypercapnic hypoxia. Neuroscience Letters. 843. 138024–138024.
3.
Higashio, H., Takuya Yokoyama, & Tomoyuki Saino. (2023). A convenient fluorimetry-based degranulation assay using RBL-2H3 cells. Bioscience Biotechnology and Biochemistry. 88(2). 181–188. 1 indexed citations
4.
Yoshino, Naoto, Takuya Yokoyama, Hironori Sakai, et al.. (2023). Suitability of Polymyxin B as a Mucosal Adjuvant for Intranasal Influenza and COVID-19 Vaccines. Vaccines. 11(11). 1727–1727. 2 indexed citations
5.
Kato, Hideaki, et al.. (2023). Expression patterns of the transcription factors Fezf1, Fezf2, and Bcl11b in the olfactory organs of turtle embryos. Journal of Morphology. 284(11). e21655–e21655. 1 indexed citations
6.
Yokoyama, Takuya, et al.. (2023). Immunohistochemical distribution of Ca2+/calmodulin-dependent protein kinase II subunits in the rat carotid body. Acta Histochemica. 125(4). 152043–152043.
7.
Yokoyama, Takuya, et al.. (2023). ADP-mediated Modulation of Intracellular Calcium Responses in Chromaffin Cells: The Role of Ectonucleoside Triphosphate Diphosphohydrolase 2 on Rat Adrenal Medulla Function. Journal of Histochemistry & Cytochemistry. 72(1). 41–60. 1 indexed citations
9.
Yokoyama, Takuya, et al.. (2022). Distribution of proteins for synaptic release in nerve endings associated with the trachealis muscle of rats. Autonomic Neuroscience. 244. 103042–103042.
10.
Yamamoto, Yoshio, et al.. (2021). Immunohistochemical distribution of proteins involved in glutamate release in subepithelial sensory nerve endings of rat epiglottis. Histochemistry and Cell Biology. 157(1). 51–63. 2 indexed citations
11.
Masai, Hiroshi, Takuya Yokoyama, Maning Liu, et al.. (2020). Complementary Color Tuning by HCl via Phosphorescence-to-Fluorescence Conversion on Insulated Metallopolymer Film and Its Light-Induced Acceleration. Polymers. 12(1). 244–244. 7 indexed citations
12.
Masai, Hiroshi, Takuya Yokoyama, Maning Liu, et al.. (2020). Insulated conjugated bimetallopolymer with sigmoidal response by dual self-controlling system as a biomimetic material. Nature Communications. 11(1). 408–408. 26 indexed citations
14.
Yokoyama, Takuya, et al.. (2019). Vesicular nucleotide transporter‐immunoreactive type I cells associated with P2X3‐immunoreactive nerve endings in the rat carotid body. The Journal of Comparative Neurology. 528(9). 1486–1501. 9 indexed citations
15.
Yokoyama, Takuya, et al.. (2018). Distribution and morphology of baroreceptors in the rat carotid sinus as revealed by immunohistochemistry for P2X3 purinoceptors. Histochemistry and Cell Biology. 151(2). 161–173. 6 indexed citations
16.
17.
Yokoyama, Takuya, Tomoyuki Saino, Nobuaki Nakamuta, Tatsumi Kusakabe, & Yoshio Yamamoto. (2016). Three-dimensional architectures of P2X2-/P2X3-immunoreactive afferent nerve terminals in the rat carotid body as revealed by confocal laser scanning microscopy. Histochemistry and Cell Biology. 146(4). 479–488. 13 indexed citations
18.
Kamiya, Masakatsu, Takuya Yokoyama, Mofei Wang, et al.. (2009). Structure-function relationship of Yamamarin from the wild silkmoth. 2008. 269–270. 1 indexed citations
19.
Sakai, Koji, et al.. (2006). EFFECT OF RUBBING-REFORMATION IN APPLICATION OF VARIOUS MOLTEN SLAG TO CONCRETE. 62(1). 174–185. 2 indexed citations
20.
Kimura, Reiji, et al.. (2001). A Comparison between the Observed and Calculated Surface Temperature using an Infrared Thermometer and a Heat Balance Model. 48(6). 371–382. 1 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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