T. Ikeda

1.7k citations
43 papers · 1.4k · h-index 16

Impact in

Papers in

T. Ikeda

41 papers receiving 1.4k citations

Peers

T. Ikeda
Comparison fields: 5 of 114
  • Renewable Energy, Sustainability and the Environment 828
  • Materials Chemistry 780
  • Dermatology 108
  • Immunology and Allergy 68
  • Electronic, Optical and Magnetic Materials 155
Replace Yusuke Niwa with:
Yusuke Niwa Japan
Wanling Wang China
Bolin Zhao China
Yiqian Li China
Na Ni China
Ling Hu China
Qianwen Ma China
Bokyung Jung South Korea
Dominik Schäfer Germany
Ziyu Wei China
T. Ikeda relative to Yusuke Niwa Japan Yusuke Niwa's profile →
Citations per field
00.5×10×17.2×
Yusuke Niwa · 1×
Citations per year

Countries citing papers authored by T. Ikeda

Since Specialization
Citations

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

Fields of papers citing papers by T. Ikeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside T. Ikeda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with T. Ikeda Line = papers co-authored together T. Ikeda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010359
2 2010165
3 2010136
4 2003132
5 2009101
6 201279
7 201352
8 200249
9 199435
10 199928
11 199826
12 200925
13 200022
14 201121
15 199619
16 200117
17 197915
18 200212
19 20129
20 20059

About T. Ikeda

T. Ikeda is a scholar working on Renewable Energy, Sustainability and the Environment, Materials Chemistry, Artificial Intelligence, Infectious Diseases and Small Animals, having authored 43 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Photocatalysis Techniques (10 papers), Copper-based nanomaterials and applications (6 papers), Helminth infection and control (4 papers), Quantum Dots Synthesis And Properties (4 papers), Speech and dialogue systems (3 papers), ZnO doping and properties (3 papers), Topic Modeling (3 papers) and Parasite Biology and Host Interactions (3 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (828 citations), Materials Chemistry (780 citations), Dermatology (108 citations), Immunology and Allergy (68 citations) and Electronic, Optical and Magnetic Materials (155 citations). T. Ikeda has collaborated with scholars based in Japan and Spain. Frequent co-authors include Toshiharu Teranishi, Kazunari Domen, Kazuhiko Maeda, Anke Xiong, Masayuki Kanehara, Daling Lu, Naoyuki Sakamoto, Taizo Yoshinaga, Masaki Takashima and Takashi Hisatomi. Their work appears in journals such as Proceedings Genome Informatics Workshop/Genome informatics, International Journal for Parasitology, American Journal of Tropical Medicine and Hygiene, Journal of Helminthology and Journal of Plankton 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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