Hitoshi Takeda

1.6k citations
99 papers · 1.1k · h-index 18

Impact in

Papers in

Hitoshi Takeda

82 papers receiving 1.1k citations

Peers

Hitoshi Takeda
Comparison fields: 5 of 131
  • Pharmaceutical Science 187
  • Dermatology 126
  • Immunology and Allergy 79
  • Immunology 272
  • Cell Biology 116
Replace Guangying Liu with:
Guangying Liu China
Ioannis Papaioannou Greece
Manoela Tiago United States
Douglas B. Brown United States
Marta Bertolini United Kingdom
Aili Zhang China
Zaozao Chen China
Xiaoyan Wang China
Hongxia Xu China
Hitoshi Takeda relative to Guangying Liu China Guangying Liu's profile →
Citations per field
00.5×6.8×
Guangying Liu · 1×
Citations per year

Countries citing papers authored by Hitoshi Takeda

Since Specialization
Citations

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

Fields of papers citing papers by Hitoshi Takeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hitoshi Takeda, 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 Hitoshi Takeda Line = papers co-authored together Hitoshi Takeda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005189
2 1998127
3 2007117
4 1998103
5 200343
6 200141
7 200037
8 199736
9 200733
10 201332
11 199031
12 199825
13 201221
14 197718
15 200517
16 200017
17 199817
18 199917
19 200515
20 199115

About Hitoshi Takeda

Hitoshi Takeda is a scholar working on Renewable Energy, Sustainability and the Environment, Building and Construction, Civil and Structural Engineering, Molecular Biology and Materials Chemistry, having authored 99 papers that have together received 1.1k indexed citations. Recurring topics across this work include Energy, Environment, Agriculture Analysis (17 papers), Building Energy and Comfort Optimization (16 papers), Concrete Corrosion and Durability (10 papers), Urban and spatial planning (9 papers), Corrosion Behavior and Inhibition (7 papers), Liquid Crystal Research Advancements (7 papers), Solar Thermal and Photovoltaic Systems (6 papers) and Color Science and Applications (6 papers). The work is most often cited by research in Pharmaceutical Science (187 citations), Dermatology (126 citations), Immunology and Allergy (79 citations), Immunology (272 citations) and Cell Biology (116 citations). Hitoshi Takeda has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Masato Kasuga, Takashi Matozaki, Tetsuya Noguchi, Kaoru Fukunaga, Katsumi Hanada, Takuji Yamao, Masahiro Tsuda, Toshiyuki Takada, Yasushi Matsuzaki and Takahiro Kanno. Their work appears in journals such as Journal of Biological Chemistry, Journal of Advanced Concrete Technology, Chemistry Letters, Journal of Bridge Engineering and Energy and Buildings.

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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