Keiko Gotoh

69 papers receiving 926 citations

Peers

Keiko Gotoh
Comparison fields: 5 of 103
  • Surfaces, Coatings and Films 316
  • Polymers and Plastics 144
  • Biomedical Engineering 369
  • Building and Construction 110
  • Biomaterials 98
Replace Gōran Ström with:
Gōran Ström Sweden
Tom Scherzer Germany
B. Chabert France
Yu Iriyama Japan
Nai‐Yi Cui United Kingdom
Monika Stupavská Czechia
Laurence Lecamp France
Christopher S. Lyons United States
Nicoleta Dumitraşcu Romania
Afshin Ghanbari‐Siahkali Denmark
Keiko Gotoh relative to Gōran Ström Sweden Gōran Ström's profile →
Citations per field
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Citations per year

Countries citing papers authored by Keiko Gotoh

Since Specialization
Citations

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

Fields of papers citing papers by Keiko Gotoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201171
2 200366
3 201161
4 201254
5 201237
6 200536
7 201036
8 201433
9 201833
10 201033
11 199228
12 201325
13 201824
14 201522
15 200519
16 201618
17 201217
18 199917
19 200916
20 200215

About Keiko Gotoh

Keiko Gotoh is a scholar working on Surfaces, Coatings and Films, Biomedical Engineering, Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging and Building and Construction, having authored 73 papers that have together received 964 indexed citations. Recurring topics across this work include Surface Modification and Superhydrophobicity (32 papers), Plasma Applications and Diagnostics (13 papers), Dyeing and Modifying Textile Fibers (13 papers), Advanced Sensor and Energy Harvesting Materials (13 papers), Electrostatics and Colloid Interactions (12 papers), Textile materials and evaluations (11 papers), Advanced Fiber Optic Sensors (6 papers) and Surfactants and Colloidal Systems (6 papers). The work is most often cited by research in Surfaces, Coatings and Films (316 citations), Polymers and Plastics (144 citations), Biomedical Engineering (369 citations), Building and Construction (110 citations) and Biomaterials (98 citations). Keiko Gotoh has collaborated with scholars based in Japan, Spain and China. Frequent co-authors include Akemi Yasukawa, Mieko Tagawa, Yasuyuki Kobayashi, Masahito Tagawa, Kazuhiko Kandori, Hidekazu Tanaka, Hirohisa Yamada, Yu Nagai, Nobuo Ohmae and M. Umeno. Their work appears in journals such as Journal of Adhesion Science and Technology, Textile Research Journal, Colloids and Surfaces A Physicochemical and Engineering Aspects, Journal of Surfactants and Detergents and Polymer Journal.

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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