Yutaka Ohta

2.5k citations
68 papers · 2.1k indexed · 1 hit paper · h-index 18
Topics
Advanced Polymer Synthesis and Characterization (7 papers)Turbomachinery Performance and Optimization (6 papers)Physics of Superconductivity and Magnetism (6 papers)

In The Last Decade

Yutaka Ohta

62 papers receiving 2.0k citations

Hit Papers

A change of the leading player in flow Visualization tech...20062026201220192006250500750

Peers

Yutaka Ohta
Comparison fields: 5 of 153
  • Cognitive Neuroscience 689
  • Molecular Biology 275
  • Polymers and Plastics 249
  • Materials Chemistry 227
  • Computer Vision and Pattern Recognition 191
Replace Hiromi Kobayashi with:
Hiromi Kobayashi Japan
Hiroshi Ono Japan
Fulvio Magni Italy
Catherine Best‐Popescu United States
Qiang Gu China
Paul Van Hecke Belgium
Hongbin Han China
Hiroshi Ono Japan
P. Ewen King‐Smith United States
Pascal Steiner Switzerland
Yutaka Ohta relative to Hiromi Kobayashi Japan Hiromi Kobayashi's profile →
Citations per field
00.5×9.6×
Hiromi Kobayashi · 1×
Citations per year

Countries citing papers authored by Yutaka Ohta

Since Specialization
Citations

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

Fields of papers citing papers by Yutaka Ohta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yutaka Ohta

This figure shows the co-authorship network connecting the top 25 collaborators of Yutaka Ohta. A scholar is included among the top collaborators of Yutaka Ohta 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 Yutaka Ohta. Yutaka Ohta 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 0
2 38
3 112
4 18
5 8
6 12
7 0
8 16
9 10
10 6
11 3
12 32
13 1
14 2
15 9
16 2
17 3
18 15
19 0
20 0

About Yutaka Ohta

Yutaka Ohta is a scholar working on Biochemistry, Polymers and Plastics and Aging, having authored 68 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Polymer Synthesis and Characterization (7 papers), Turbomachinery Performance and Optimization (6 papers) and Physics of Superconductivity and Magnetism (6 papers). The work is most often cited by research in Cognitive Neuroscience (689 citations), Fluid Flow and Transfer Processes (162 citations) and Biochemistry (114 citations). Yutaka Ohta has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include A. Mizuno, Atsushi Takano, Yushu Matsushita, Manabu Sami, Tomomasa Kanda, Yoshiaki Takahashi, Daisuke Kawaguchi, Kyoichi Osada, Yuya Doi and Tomohiro Nakano. Their work appears in journals such as Journal of Biological Chemistry, Physical review. B, Condensed matter and Cancer.

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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