T. Ueda

19 papers receiving 316 citations

Peers

T. Ueda
Comparison fields: 5 of 78
  • Biomedical Engineering 142
  • Ecology, Evolution, Behavior and Systematics 97
  • Plant Science 91
  • Ceramics and Composites 75
  • Materials Chemistry 59
Replace Yohtaro Matsuo with:
Yohtaro Matsuo Japan
Dongye Zhang China
Peng Fei Wang China
Jialin Zhu China
Cheng-Ru Li China
M Kathirvel India
Scott C. Rowe United States
Xuyuan Wang China
Isao Nishimura Japan
Qiuming Zhang China
T. Ueda relative to Yohtaro Matsuo Japan Yohtaro Matsuo's profile →
Citations per field
00.5×6.5×
Yohtaro Matsuo · 1×
Citations per year

Countries citing papers authored by T. Ueda

Since Specialization
Citations

This map shows the geographic impact of T. Ueda'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 T. Ueda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Ueda more than expected).

Fields of papers citing papers by T. Ueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Ueda

This figure shows the co-authorship network connecting the top 25 collaborators of T. Ueda. A scholar is included among the top collaborators of T. Ueda 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 T. Ueda. T. Ueda 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
#WorkIndexed citations
1 1
2 1
3 79
4
真性粘菌変形体(Physarum plasmodium)におけるリズミカルなストリーミングの開始 多核細胞の共同した階層的組織化
7
5 17
6
Influence of ammonia solution on gastric mucosa and acetic acid induced ulcer in rats.
5
7 24
8 8
9 8
10 12
11 18
12 8
13 22
14 25
15 14
16 6
17
The effect of longitudinal tension on the amplitude of the contraction rhythm of plasmodial strands of Physarum polycephalum.
1
18
Contraction rhythm in the plasmodium of Physarum polycephalum: dependence of the period on the amplitude, temperature and chemical environment.
9
19
Reaction of the contractile apparatus in Physarum to injected Ca++, ATP, ADP and 5'AMP.
37
20 36

About T. Ueda

T. Ueda is a scholar working on Biomaterials, Ceramics and Composites and General Materials Science, having authored 20 papers that have together received 338 indexed citations. Recurring topics across this work include Slime Mold and Myxomycetes Research (9 papers), Diatoms and Algae Research (6 papers) and Plant and Biological Electrophysiology Studies (4 papers). The work is most often cited by research in Ceramics and Composites (75 citations), Ecology, Evolution, Behavior and Systematics (97 citations) and Biomedical Engineering (142 citations). T. Ueda has collaborated with scholars based in Japan and United Kingdom. Frequent co-authors include Yonosuke Kobatake, Kenzo Kurihara, Yoshiharu Waku, Atsuyuki Mitani, Sei-ichiro SAKATA, Shojiro Ochiai, Kôzô Satô, Masaki Hojo, Nobuyoshi Nakagawa and Makoto Muratsugu. Their work appears in journals such as The Journal of Cell Biology, Composites Science and Technology and Experimental Cell Research.

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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