Eiji Ikeda

2.0k citations
35 papers · 1.5k indexed · 1 hit paper · h-index 16
Topics
solar cell performance optimization (18 papers)Semiconductor Quantum Structures and Devices (16 papers)Chalcogenide Semiconductor Thin Films (13 papers)

In The Last Decade

Eiji Ikeda

31 papers receiving 1.5k citations

Hit Papers

Variation in the safety of induced pluripotent stem cell ...20092026201420202009200400600

Peers

Eiji Ikeda
Comparison fields: 5 of 102
  • Electrical and Electronic Engineering 612
  • Molecular Biology 579
  • Atomic and Molecular Physics, and Optics 367
  • Biomedical Engineering 253
  • Surgery 158
Replace Seiji Mizuno with:
Seiji Mizuno Japan
K. Y. Suh South Korea
David Barba Canada
M. Seitz Germany
Jae-Hwan Kim South Korea
Wenhua Liu United States
Ailey Crow United States
Bernhard Brenner Germany
Keisuke Suzuki Japan
Tianzhun Wu China
Eiji Ikeda relative to Seiji Mizuno Japan Seiji Mizuno's profile →
Citations per field
00.5×1.5×2.2×
Seiji Mizuno · 1×
Citations per year

Countries citing papers authored by Eiji Ikeda

Since Specialization
Citations

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

Fields of papers citing papers by Eiji Ikeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eiji Ikeda

This figure shows the co-authorship network connecting the top 25 collaborators of Eiji Ikeda. A scholar is included among the top collaborators of Eiji Ikeda 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 Eiji Ikeda. Eiji Ikeda 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
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[A Case of Advanced Adenocarcinoma at the Esophagogastric Junction That Exhibited pCR by Preoperative SOX Therapy].
0
3 57
4 15
5 26
6 13
7 14
8 28
9 16
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Variation in the safety of induced pluripotent stem cell linesbreakdown →
664
11 0
12 2
13 8
14 16
15 1
16 28
17 32
18 64
19 50
20 0

About Eiji Ikeda

Eiji Ikeda is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Behavioral Neuroscience, having authored 35 papers that have together received 1.5k indexed citations. Recurring topics across this work include solar cell performance optimization (18 papers), Semiconductor Quantum Structures and Devices (16 papers) and Chalcogenide Semiconductor Thin Films (13 papers). The work is most often cited by research in Developmental Neuroscience (85 citations), Atomic and Molecular Physics, and Optics (367 citations) and Electrical and Electronic Engineering (612 citations). Eiji Ikeda has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Hiroshi Kurita, Tatsuya Takamoto, Masamichi Ohmori, Takashi Aoi, Hideyuki Okano, Masato Nakagawa, Keisuke Okita, Koji Tanabe, Mari Ohnuki and Shinya Yamanaka. Their work appears in journals such as Applied Physics Letters, Nature Biotechnology and Journal of Applied Physics.

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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