Takeshi Mukasa

582 total citations
17 papers, 509 citations indexed

About

Takeshi Mukasa is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Takeshi Mukasa has authored 17 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Cell Biology. Recurrent topics in Takeshi Mukasa's work include Cell death mechanisms and regulation (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Takeshi Mukasa is often cited by papers focused on Cell death mechanisms and regulation (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Takeshi Mukasa collaborates with scholars based in Japan and United States. Takeshi Mukasa's co-authors include Takashi Momoi, Mariko Y. Momoi, Koko Urase, Yoriko Kouroku, Takahiro Yaguchi, Eriko Fujita, Kiichi Arahata, Tetsu Nagata, Tomoyuki Nishizaki and Takeshi Kanno and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Journal of Lipid Research and Cell Death and Differentiation.

In The Last Decade

Takeshi Mukasa

17 papers receiving 501 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takeshi Mukasa Japan 12 386 91 68 52 51 17 509
Andrew B. Fotia Australia 8 469 1.2× 89 1.0× 82 1.2× 36 0.7× 31 0.6× 10 551
Eileen Vesely United States 7 328 0.8× 55 0.6× 43 0.6× 37 0.7× 69 1.4× 8 486
Kang‐Sik Park South Korea 12 334 0.9× 101 1.1× 95 1.4× 30 0.6× 64 1.3× 19 607
Jung Woong Choi South Korea 9 350 0.9× 57 0.6× 73 1.1× 75 1.4× 37 0.7× 11 432
А. Г. Бабич Germany 9 507 1.3× 91 1.0× 81 1.2× 46 0.9× 99 1.9× 13 678
Tatsunori Mizuno Japan 4 323 0.8× 71 0.8× 59 0.9× 35 0.7× 50 1.0× 12 565
Allen Schroering United States 13 399 1.0× 118 1.3× 49 0.7× 37 0.7× 76 1.5× 18 654
Mary Nivison United States 9 302 0.8× 80 0.9× 63 0.9× 88 1.7× 80 1.6× 14 601
Елена Жукова United States 12 431 1.1× 46 0.5× 80 1.2× 76 1.5× 40 0.8× 22 573
Anne‐Marie Chambaut‐Guérin France 11 234 0.6× 51 0.6× 93 1.4× 46 0.9× 99 1.9× 20 453

Countries citing papers authored by Takeshi Mukasa

Since Specialization
Citations

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

Fields of papers citing papers by Takeshi Mukasa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeshi Mukasa

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

All Works

17 of 17 papers shown
1.
Kanno, Takeshi, Takahiro Yaguchi, Tetsu Nagata, Takeshi Mukasa, & Tomoyuki Nishizaki. (2010). Regulation of AMPA Receptor Trafficking by O-Glycosylation. Neurochemical Research. 35(5). 782–788. 27 indexed citations
2.
Yamada, Kosuke, Takahiro Yaguchi, Takeshi Kanno, Takeshi Mukasa, & Tomoyuki Nishizaki. (2010). Auto-Positive Feedback Regulation for Nicotinic Acetylcholine Receptors by Protein Kinase C Activation. Cellular Physiology and Biochemistry. 26(2). 247–252. 3 indexed citations
3.
Kanno, Takeshi, Hideyuki Yamamoto, Takahiro Yaguchi, et al.. (2006). The linoleic acid derivative DCP-LA selectively activates PKC-ɛ, possibly binding to the phosphatidylserine binding site. Journal of Lipid Research. 47(6). 1146–1156. 61 indexed citations
4.
Yaguchi, Takahiro, Tetsu Nagata, Takeshi Mukasa, et al.. (2005). Linoleic acid derivative DCP-LA improves learning impairment in SAMP8. Neuroreport. 17(1). 105–108. 15 indexed citations
5.
Kuroiwa, Shingo, et al.. (2004). Automatic prank call rejection system for home country direct based on speech recognition technology. Electronics and Communications in Japan (Part II Electronics). 87(4). 44–52. 1 indexed citations
6.
Kouroku, Yoriko, et al.. (2000). Localization of Active Form of Caspase-8 in Mouse L929 Cells Induced by TNF Treatment and Polyglutamine Aggregates. Biochemical and Biophysical Research Communications. 270(3). 972–977. 20 indexed citations
7.
Kouroku, Yoriko, Eriko Fujita, Takeshi Mukasa, et al.. (1999). bFGF inhibits the activation of caspase-3 and apoptosis of P19 embryonal carcinoma cells during neuronal differentiation. Cell Death and Differentiation. 6(5). 463–470. 58 indexed citations
8.
Mukasa, Takeshi, Takashi Momoi, & Mariko Y. Momoi. (1999). Activation of Caspase-3 Apoptotic Pathways in Skeletal Muscle Fibers in Laminin α2-Deficient Mice. Biochemical and Biophysical Research Communications. 260(1). 139–142. 44 indexed citations
9.
Urase, Koko, Eriko Fujita, Yoriko Kouroku, et al.. (1998). Detection of activated Caspase-3 (CPP32) in the vertebrate nervous system during development by a cleavage site-directed antiserum. Developmental Brain Research. 111(1). 77–87. 47 indexed citations
10.
Fujita, Eriko, Akiko Soyama, Koko Urase, Takeshi Mukasa, & Takashi Momoi. (1998). RA175, which is expressed during the neuronal differentiation of P19EC cells, temporally expressed during neurogenesis of mouse embryos. Neuroscience Research. 31. S283–S283. 7 indexed citations
11.
Yamagata, Takanori, Mariko Y. Momoi, Yasuyuki Nozaki, et al.. (1997). Genome Organization of Human 48-kDa Oligosaccharyltransferase (DDOST). Genomics. 45(3). 535–540. 25 indexed citations
12.
Mukasa, Takeshi, et al.. (1997). Specific Expression of CPP32 in Sensory Neurons of Mouse Embryos and Activation of CPP32 in the Apoptosis Induced by a Withdrawal of NGF. Biochemical and Biophysical Research Communications. 231(3). 770–774. 33 indexed citations
13.
Mukasa, Takeshi, et al.. (1997). Wortmannin Enhances CPP32-like Activity during Neuronal Differentiation of P19 Embryonal Carcinoma Cells Induced by Retinoic Acid. Biochemical and Biophysical Research Communications. 232(1). 192–197. 11 indexed citations
14.
Urase, Koko, Takeshi Mukasa, Yasuo Ishíi, et al.. (1996). Spatial Expression ofSonic Hedgehogin the Lung Epithelium during Branching Morphogenesis. Biochemical and Biophysical Research Communications. 225(1). 161–166. 56 indexed citations
15.
Mukasa, Takeshi, et al.. (1996). Enhancement of CPP32-like Activity in the TNF-Treated U937 Cells by the Proteasome Inhibitors. Biochemical and Biophysical Research Communications. 224(1). 74–79. 49 indexed citations
16.
Yokota, Chika, Takeshi Mukasa, Asano Odaka, et al.. (1995). Activin Induces the Expression of the Xenopus Homolog of Sonic hedgehog during Mesoderm Formation in Xenopus Explants. Biochemical and Biophysical Research Communications. 207(1). 1–7. 9 indexed citations
17.
Yamagata, Tetsuya, Kenkoh Muroya, Takeshi Mukasa, et al.. (1995). Hepatocyte Growth Factor Specifically Expressed in Microglia Activated RAS in the Neurons, Similar to the Action of Neurotrophic Factors. Biochemical and Biophysical Research Communications. 210(1). 231–237. 43 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026