Tatsuya Umeda

1.1k total citations
33 papers, 747 citations indexed

About

Tatsuya Umeda is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Tatsuya Umeda has authored 33 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 10 papers in Cognitive Neuroscience and 8 papers in Molecular Biology. Recurrent topics in Tatsuya Umeda's work include Neuroscience and Neuropharmacology Research (7 papers), Transcranial Magnetic Stimulation Studies (6 papers) and EEG and Brain-Computer Interfaces (5 papers). Tatsuya Umeda is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), Transcranial Magnetic Stimulation Studies (6 papers) and EEG and Brain-Computer Interfaces (5 papers). Tatsuya Umeda collaborates with scholars based in Japan, Italy and Thailand. Tatsuya Umeda's co-authors include Tadashi Isa, Shigeo Okabe, Yukio Nishimura, Kaoru Isa, Tatsuhiko Ebihara, Masahito Takahashi, Akio Kanatani, Hisashi Iwaasa, Kazuto Kobayashi and Hideki Hida and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Tatsuya Umeda

32 papers receiving 736 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tatsuya Umeda Japan 14 297 206 174 111 85 33 747
Claire A. Sheldon Canada 20 300 1.0× 316 1.5× 127 0.7× 88 0.8× 35 0.4× 45 1.0k
Dongsheng Zhang China 15 286 1.0× 323 1.6× 279 1.6× 136 1.2× 33 0.4× 35 981
Takanori Esaki Japan 16 274 0.9× 231 1.1× 82 0.5× 93 0.8× 133 1.6× 40 945
Kenjiro Seki Japan 15 218 0.7× 173 0.8× 110 0.6× 75 0.7× 174 2.0× 32 997
Aritra Bhattacherjee United States 13 173 0.6× 230 1.1× 103 0.6× 57 0.5× 31 0.4× 14 550
Cristina Mora Italy 16 164 0.6× 269 1.3× 69 0.4× 45 0.4× 96 1.1× 32 709
Elke Kirchmair Austria 14 546 1.8× 350 1.7× 177 1.0× 67 0.6× 47 0.6× 20 860
Clemens Reiffurth Germany 15 426 1.4× 181 0.9× 185 1.1× 201 1.8× 17 0.2× 18 956
Agustín Castañeyra-Perdomo Spain 17 448 1.5× 302 1.5× 100 0.6× 122 1.1× 32 0.4× 76 942

Countries citing papers authored by Tatsuya Umeda

Since Specialization
Citations

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

Fields of papers citing papers by Tatsuya Umeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tatsuya Umeda

This figure shows the co-authorship network connecting the top 25 collaborators of Tatsuya Umeda. A scholar is included among the top collaborators of Tatsuya Umeda 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 Tatsuya Umeda. Tatsuya Umeda 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.
Umeda, Tatsuya, et al.. (2024). Future spinal reflex is embedded in primary motor cortex output. Science Advances. 10(51). eadq4194–eadq4194.
2.
Saga, Yosuke, et al.. (2023). Time course of recovery of different motor functions following a reproducible cortical infarction in non-human primates. Frontiers in Neurology. 14. 1094774–1094774. 1 indexed citations
3.
Umeda, Tatsuya, Masashi Koizumi, Yuko Katakai, Ryoichi Saito, & Kazuhiko Seki. (2019). Decoding of muscle activity from the sensorimotor cortex in freely behaving monkeys. NeuroImage. 197. 512–526. 18 indexed citations
4.
Ishida, Akimasa, Kaoru Isa, Tatsuya Umeda, et al.. (2016). Causal Link between the Cortico-Rubral Pathway and Functional Recovery through Forced Impaired Limb Use in Rats with Stroke. Journal of Neuroscience. 36(2). 455–467. 71 indexed citations
5.
Umeda, Tatsuya, et al.. (2014). Decoding of the spike timing of primary afferents during voluntary arm movements in monkeys. Frontiers in Neuroscience. 8. 97–97. 7 indexed citations
6.
Umeda, Tatsuya & Kengo Funakoshi. (2013). Reorganization of motor circuits after neonatal hemidecortication. Neuroscience Research. 78. 30–37. 12 indexed citations
7.
Umeda, Tatsuya, Kazuhiko Seki, Masa-aki Sato, et al.. (2012). Population Coding of Forelimb Joint Kinematics by Peripheral Afferents in Monkeys. PLoS ONE. 7(10). e47749–e47749. 10 indexed citations
8.
Umeda, Tatsuya & Tadashi Isa. (2011). Differential contributions of rostral and caudal frontal forelimb areas to compensatory process after neonatal hemidecortication in rats. European Journal of Neuroscience. 34(9). 1453–1460. 16 indexed citations
10.
Murakami, Shougo, Kuniaki Otsuka, Tatsuji Kono, et al.. (2010). Impact of outdoor temperature on prewaking morning surge and nocturnal decline in blood pressure in a Japanese population. Hypertension Research. 34(1). 70–73. 27 indexed citations
11.
Yamagata, Yoko, Shizuka Kobayashi, Tatsuya Umeda, et al.. (2009). Kinase-Dead Knock-In Mouse Reveals an Essential Role of Kinase Activity of Ca2+/Calmodulin-Dependent Protein Kinase II  in Dendritic Spine Enlargement, Long-Term Potentiation, and Learning. Journal of Neuroscience. 29(23). 7607–7618. 110 indexed citations
12.
Nara, Makoto, et al.. (2009). Reduction of leptin precedes fat loss from running exercise in insulin-resistant rats. Experimental and Clinical Endocrinology & Diabetes. 107(7). 431–434. 2 indexed citations
13.
Takahashi, Masahito, et al.. (2009). Large‐scale reorganization of corticofugal fibers after neonatal hemidecortication for functional restoration of forelimb movements. European Journal of Neuroscience. 30(10). 1878–1887. 23 indexed citations
14.
Moriya, Ryuichi, Hideki Sano, Tatsuya Umeda, et al.. (2006). RFamide Peptide QRFP43 Causes Obesity with Hyperphagia and Reduced Thermogenesis in Mice. Endocrinology. 147(6). 2916–2922. 83 indexed citations
15.
Yamamoto, Satoshi, Michihiro Suwa, Takahide Ito, et al.. (2005). Comparison of Frequency of Thromboembolic Events and Echocardiographic Findings in Patients With Chronic Nonvalvular Atrial Fibrillation and Coarse Versus Fine Electrocardiographic Fibrillatory Waves. The American Journal of Cardiology. 96(3). 408–411. 21 indexed citations
16.
Umeda, Tatsuya, et al.. (2004). Electroporation-mediated gene transfer system applied to cultured CNS neurons. Neuroreport. 15(6). 971–975. 18 indexed citations
17.
Adachi, I, Hiroyuki Akagi, Tatsuya Umeda, et al.. (2003). Gated blood pool SPECT improves reproducibility of right and left ventricular Fourier phase analysis in radionuclide angiography. Annals of Nuclear Medicine. 17(8). 711–716. 7 indexed citations
18.
Baba, Toshiaki, Takeshi Kanda, Ayako Yoshida, et al.. (2002). Reciprocal changes in leptin and tumor necrosis factor-alpha with exercise in insulin resistant rats.. PubMed. 108(1-2). 133–43. 5 indexed citations
19.
Umeda, Tatsuya & Shigeo Okabe. (2001). Visualizing synapse formation and remodeling: recent advances in real-time imaging of CNS synapses. Neuroscience Research. 40(4). 291–300. 12 indexed citations
20.
Koriyama, Hiroshi, Zen Kouchi, Tatsuya Umeda, et al.. (1999). Proteolytic Activation of Protein Kinase C δ and ϵ by Caspase-3 in U937 Cells During Chemotherapeutic Agent-Induced Apoptosis. Cellular Signalling. 11(11). 831–838. 56 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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