Tatsuo Kitajima

406 total citations
27 papers, 310 citations indexed

About

Tatsuo Kitajima is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Biomaterials. According to data from OpenAlex, Tatsuo Kitajima has authored 27 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cellular and Molecular Neuroscience, 12 papers in Cognitive Neuroscience and 6 papers in Biomaterials. Recurrent topics in Tatsuo Kitajima's work include Neural dynamics and brain function (11 papers), Neuroscience and Neuropharmacology Research (10 papers) and Advanced Memory and Neural Computing (6 papers). Tatsuo Kitajima is often cited by papers focused on Neural dynamics and brain function (11 papers), Neuroscience and Neuropharmacology Research (10 papers) and Advanced Memory and Neural Computing (6 papers). Tatsuo Kitajima collaborates with scholars based in Japan, Malaysia and United States. Tatsuo Kitajima's co-authors include Zhonggang Feng, Kaori Hara, Shigeru Kubota, Takao Nakamura, Ken‐ichi Hara, Hisashi Kumashiro, Mitsuo Umezu, Seiji Matsumoto, Mitsuhiro Ono and Hitoshi Kamada and has published in prestigious journals such as Biomaterials, Brain Research and Behavioral and Brain Sciences.

In The Last Decade

Tatsuo Kitajima

26 papers receiving 305 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tatsuo Kitajima Japan 10 94 90 74 64 55 27 310
Alexandre Parpaleix France 5 44 0.5× 56 0.6× 43 0.6× 130 2.0× 132 2.4× 6 419
Zeinab Akbarnejad Iran 11 89 0.9× 58 0.6× 36 0.5× 55 0.9× 74 1.3× 24 344
Jakob Straehle Germany 9 83 0.9× 154 1.7× 135 1.8× 46 0.7× 56 1.0× 20 444
Jack Lubowsky United States 13 59 0.6× 67 0.7× 126 1.7× 101 1.6× 99 1.8× 27 445
Chiara Paviolo Australia 12 39 0.4× 246 2.7× 32 0.4× 54 0.8× 249 4.5× 17 545
Matthew J. Farrar United States 6 146 1.6× 96 1.1× 19 0.3× 43 0.7× 131 2.4× 9 386
Jonathan A. N. Fisher United States 12 44 0.5× 98 1.1× 134 1.8× 37 0.6× 170 3.1× 25 466
Tae-Keun Kim South Korea 13 26 0.3× 193 2.1× 49 0.7× 14 0.2× 84 1.5× 19 572
Suk Joon Lee United States 5 38 0.4× 179 2.0× 91 1.2× 25 0.4× 40 0.7× 8 276
Ming Fan China 4 163 1.7× 143 1.6× 88 1.2× 37 0.6× 122 2.2× 13 390

Countries citing papers authored by Tatsuo Kitajima

Since Specialization
Citations

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

Fields of papers citing papers by Tatsuo Kitajima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tatsuo Kitajima

This figure shows the co-authorship network connecting the top 25 collaborators of Tatsuo Kitajima. A scholar is included among the top collaborators of Tatsuo Kitajima 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 Tatsuo Kitajima. Tatsuo Kitajima 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.
Kotaki, Ryutaro, Hiroshi Higuchi, Jun Ogata, et al.. (2017). Imbalanced expression of polycistronic miRNA in acute myeloid leukemia. International Journal of Hematology. 106(6). 811–819. 4 indexed citations
2.
Feng, Zhonggang, Tadashi KOSAWADA, Takao Nakamura, et al.. (2017). Theoretical methods and models for mechanical properties of soft biomaterials. AIMS Materials Science. 4(3). 680–705. 6 indexed citations
3.
Feng, Zhonggang, Rie Takahashi, Takao Nakamura, et al.. (2014). Expression of microRNA-1, microRNA-133a and Hand2 protein in cultured embryonic rat cardiomyocytes. In Vitro Cellular & Developmental Biology - Animal. 50(8). 700–706. 6 indexed citations
4.
Feng, Zhonggang, Tadashi KOSAWADA, Takao Nakamura, et al.. (2014). The mechanisms of fibroblast-mediated compaction of collagen gels and the mechanical niche around individual fibroblasts. Biomaterials. 35(28). 8078–8091. 30 indexed citations
5.
6.
Feng, Zhonggang, Satoshi Kobayashi, Tadashi KOSAWADA, et al.. (2013). Analysis of the contraction of fibroblast-collagen gels and the traction force of individual cells by a novel elementary structural model. PubMed. 2013. 6232–6235. 4 indexed citations
7.
Feng, Zhonggang, Shuhei Fukuda, M. YOKOYAMA, et al.. (2011). Flux characteristics of cell culture medium in rectangular microchannels. Journal of Artificial Organs. 14(3). 238–244. 2 indexed citations
8.
Feng, Zhonggang, et al.. (2010). Viscoelastic characteristics of contracted collagen gels populated with rat fibroblasts or cardiomyocytes. Journal of Artificial Organs. 13(3). 139–144. 11 indexed citations
9.
Kubota, Shigeru & Tatsuo Kitajima. (2010). Possible role of cooperative action of NMDA receptor and GABA function in developmental plasticity. Journal of Computational Neuroscience. 28(2). 347–359. 5 indexed citations
10.
Kubota, Shigeru, Jonathan E. Rubin, & Tatsuo Kitajima. (2009). Modulation of LTP/LTD balance in STDP by an activity-dependent feedback mechanism. Neural Networks. 22(5-6). 527–535. 10 indexed citations
11.
Nakamura, Takao, et al.. (2008). Comparison of mRNA expression of transcriptional factors and intercalated disk constituent proteins between in vivo and cultured cardiomyocytes. Journal of Artificial Organs. 11(3). 134–140. 8 indexed citations
12.
Kubota, Shigeru & Tatsuo Kitajima. (2007). A model for synaptic development regulated by NMDA receptor subunit expression. Journal of Computational Neuroscience. 24(1). 1–20. 16 indexed citations
13.
Feng, Zhonggang, et al.. (2006). Construction of fibroblast–collagen gels with orientated fibrils induced by static or dynamic stress: toward the fabrication of small tendon grafts. Journal of Artificial Organs. 9(4). 220–225. 24 indexed citations
14.
Kitajima, Tatsuo & Kaori Hara. (2000). A generalized Hebbian rule for activity-dependent synaptic modifications. Neural Networks. 13(4-5). 445–454. 19 indexed citations
15.
Kitajima, Tatsuo & Ken‐ichi Hara. (1998). Roles of Back-Propagating Action Potential in Synaptic Modifications.. International Conference on Neural Information Processing. 1513–1516. 1 indexed citations
16.
Matsumoto, Seiji, Hidekatsu Yokoyama, Norio Mori, et al.. (1992). An ESR-CT imaging of the head of a living rat receiving an administration of a nitroxide radical. Magnetic Resonance Imaging. 10(1). 109–114. 102 indexed citations
17.
18.
Kitajima, Tatsuo & Kaori Hara. (1990). A model of the mechanisms of long-term potentiation in the hippocampus. Biological Cybernetics. 64(1). 33–39. 11 indexed citations
19.
Kitajima, Tatsuo & Etsujiro SHIMEMURA. (1972). Computational Algorithm for a Free Terminal-Time Optimal Problem of a Distributed Parameter System via a Gradient Method. Transactions of the Society of Instrument and Control Engineers. 8(1). 67–72.
20.
SHIMEMURA, Etsujiro & Tatsuo Kitajima. (1970). Computational Algorithm for the Optimal Control of Distributed Parameter Systems Using a Gradient Method. Transactions of the Society of Instrument and Control Engineers. 6(2). 189–194. 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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