Tetsuya Kobayashi

6.2k total citations
219 papers, 4.2k citations indexed

About

Tetsuya Kobayashi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Surgery. According to data from OpenAlex, Tetsuya Kobayashi has authored 219 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Molecular Biology, 30 papers in Cellular and Molecular Neuroscience and 29 papers in Surgery. Recurrent topics in Tetsuya Kobayashi's work include Veterinary Oncology Research (23 papers), Neuroscience and Neuropharmacology Research (16 papers) and Receptor Mechanisms and Signaling (15 papers). Tetsuya Kobayashi is often cited by papers focused on Veterinary Oncology Research (23 papers), Neuroscience and Neuropharmacology Research (16 papers) and Receptor Mechanisms and Signaling (15 papers). Tetsuya Kobayashi collaborates with scholars based in Japan, United States and Canada. Tetsuya Kobayashi's co-authors include Takeo Matsuno, Yuji Atsuta, Kiyoshi Matsuno, Naoki Takeda, Hiroki R. Ueda, Shiro Mita, Kazuyoshi Okamoto, Sakaé Kikuyama, Hideki Ukai and Makoto Ukai and has published in prestigious journals such as Physical Review Letters, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Tetsuya Kobayashi

214 papers receiving 4.1k citations

Peers

Tetsuya Kobayashi
Yuichi Iino Japan
Laura Bianchi United States
Michiko Watanabe Japan
Andrew P. Thomas United States
Setsuya Fujita Japan
David J. Cutler United States
Markus Paulmichl Austria
Thomas Wieland Germany
Tetsuro Yamamoto Japan
Ekaterina Shumilina Germany
Yuichi Iino Japan
Tetsuya Kobayashi
Citations per year, relative to Tetsuya Kobayashi Tetsuya Kobayashi (= 1×) peers Yuichi Iino

Countries citing papers authored by Tetsuya Kobayashi

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuya Kobayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuya Kobayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuya Kobayashi. A scholar is included among the top collaborators of Tetsuya Kobayashi 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 Tetsuya Kobayashi. Tetsuya Kobayashi 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.
Suzuki, Yoshimi, Y. Yamane, Tetsuya Kobayashi, et al.. (2024). Cloning and Functional Analysis of Skin Host Defense Peptides from Yakushima Tago’s Brown Frog (Rana tagoi yakushimensis) and Development of Serum Endotoxin Detection System. Antibiotics. 13(12). 1127–1127. 1 indexed citations
2.
Kobayashi, Tetsuya, et al.. (2024). Familial cryptogenic stroke. SHILAP Revista de lepidopterología. 12(5). e8846–e8846. 1 indexed citations
3.
4.
Kobayashi, Tetsuya, et al.. (2023). Induction of cerebellar cortical neurogenesis immediately following valproic acid exposure in ferret kits. Frontiers in Neuroscience. 17. 1318688–1318688. 1 indexed citations
5.
Uchida, M., Masaya Tsuboi, Kazuyuki Uchida, et al.. (2023). Serum level of apoptosis inhibitor of macrophage in dogs with histiocytic sarcoma and its association with the disease. Veterinary and Comparative Oncology. 21(3). 391–400.
6.
Yamada, Takahiro, et al.. (2022). An explainable deep learning-based algorithm with an attention mechanism for predicting the live birth potential of mouse embryos. Artificial Intelligence in Medicine. 134. 102432–102432. 6 indexed citations
7.
Toda, Hiroyuki, Minori Koga, Taku Saito, et al.. (2021). Neural extracellular vesicle-derived miR-17 in blood as a potential biomarker of subthreshold depression. Human Cell. 34(4). 1087–1092. 14 indexed citations
8.
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Yamada, Takahiro, Daisuke Mashiko, Noriko Hiroi, et al.. (2020). 3D convolutional neural networks-based segmentation to acquire quantitative criteria of the nucleus during mouse embryogenesis. npj Systems Biology and Applications. 6(1). 32–32. 29 indexed citations
10.
Murata, Mika, Tetsuya Kobayashi, & Shigemi Seo. (2019). α-Ionone, an Apocarotenoid, Induces Plant Resistance to Western Flower Thrips, Frankliniella occidentalis, Independently of Jasmonic Acid. Molecules. 25(1). 17–17. 33 indexed citations
11.
Kobayashi, Tetsuya, et al.. (2015). Combined Effect of Nisin and Commercial Pectin-hydrolysate Treatment on Survival and growth of <i>Listeria monocytogenes</i> in Soy-seasoned Salmon Roe Products. Food Science and Technology Research. 21(5). 751–755. 3 indexed citations
12.
Kobayashi, Tetsuya, et al.. (2015). Fluctuation Relations of Fitness and Information in Population Dynamics. Physical Review Letters. 115(23). 238102–238102. 23 indexed citations
13.
Suzuki, Kenta, Hiroko Yamada, Tetsuya Kobayashi, & Kazuo Okanoya. (2012). Decreased Fecal Corticosterone Levels Due to Domestication: A Comparison Between the White‐Backed Munia (Lonchura striata) and Its Domesticated Strain, the Bengalese Finch (Lonchura striata var. domestica) With a Suggestion for Complex Song Evolution. Journal of Experimental Zoology Part A Ecological Genetics and Physiology. 317(9). 561–570. 43 indexed citations
14.
Kobayashi, Tetsuya, et al.. (2010). Radiographic Analysis of Newly Developed Degenerative Spondylolisthesis in a Mean Twelve-Year Prospective Study. Spine. 35(8). 887–891. 71 indexed citations
15.
Isotani, Mayu, Nobuhiro Ishida, M. Tominaga, et al.. (2008). Effect of Tyrosine Kinase Inhibition by Imatinib Mesylate on Mast Cell Tumors in Dogs. Journal of Veterinary Internal Medicine. 22(4). 985–988. 70 indexed citations
16.
Hasunuma, Itaru, Reiko Okada, Kazutoshi Yamamoto, et al.. (2007). INVOLVEMENT OF D2 DOPAMINE RECEPTOR SUBTYPE IN INHIBITION OF PROLACTIN RELEASE FROM THE BULLFROG PITUITARY GLAND. 79. 1 indexed citations
17.
Kobayashi, Tetsuya, et al.. (2004). NUMBER OF SEROTONERGIC NEURONS IN MESENCEPHALIC RAPHE NUCLEI PROJECTING AXONS TO PREOPTIC AREA : IMMUNOSTAIN FOR RETOROGRADE TRACER AND SEROTONIN(Endocrinology,Abstracts of papers presented at the 75^ Annual Meeting of the Zoological Society of Japan) :. ZOOLOGICAL SCIENCE. 21(12). 1343. 1 indexed citations
18.
Kobayashi, Tetsuya & Atsushi Kikuchi. (2004). A Technique for Marking the Rice Leaf Bug, Trigonotylus caelestialium (Kirkaldy) (Heteroptera: Miridae) Using a Fluorescent Pigment.. Japanese Journal of Applied Entomology and Zoology. 48(2). 109–113. 4 indexed citations
19.
Takazawa, Kenji, et al.. (1993). UNDERESTIMATION OF EFFECT OF VASODILATOR AGENTS BY PERIPHERAL BLOOD PRESSURE MEASUREMENT;THE CAUSE AND STRATEGY. Japanese Circulation Journal-english Edition. 57(7). 690. 2 indexed citations
20.
Ukai, Makoto, et al.. (1993). Tyr-D-Arg-Phe-β-Ala-NH2, a novel dermorphin analog, impairs memory consolidation in mice. European Journal of Pharmacology. 239(1-3). 237–240. 17 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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