Yuka Ito

76 papers receiving 1.1k citations

Peers

Yuka Ito
Comparison fields: 5 of 132
  • Cellular and Molecular Neuroscience 190
  • Insect Science 115
  • Immunology and Allergy 47
  • Endocrine and Autonomic Systems 44
  • Global and Planetary Change 121
Replace Stephan Schneider with:
Stephan Schneider Germany
Elise S. Bales United States
Ian Henderson United States
Umberto Fascio Italy
Hans Komnick Germany
Jiun‐Lin Horng Taiwan
Yonghua Sun China
Wenwei Xu United States
Gerolamo Lanfranchi Italy
Thomas A. Gorr Switzerland
Yuka Ito relative to Stephan Schneider Germany Stephan Schneider's profile →
Citations per field
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Stephan Schneider · 1×
Citations per year

Countries citing papers authored by Yuka Ito

Since Specialization
Citations

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

Fields of papers citing papers by Yuka Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017139
2 2015113
3 201579
4 201475
5 200944
6 200742
7 201941
8 199639
9 200732
10 200332
11 200931
12 200928
13 200326
14 201724
15 197523
16 198622
17 202221
18 201019
19 201118
20 200917

About Yuka Ito

Yuka Ito is a scholar working on Molecular Biology, Surgery, Electrical and Electronic Engineering, Global and Planetary Change and Atmospheric Science, having authored 83 papers that have together received 1.1k indexed citations. Recurring topics across this work include Flood Risk Assessment and Management (8 papers), Advancements in Battery Materials (6 papers), Geology and Paleoclimatology Research (5 papers), Hydrology and Watershed Management Studies (5 papers), earthquake and tectonic studies (4 papers), Geological formations and processes (4 papers), Diabetes Treatment and Management (4 papers) and Advanced Battery Materials and Technologies (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (190 citations), Insect Science (115 citations), Immunology and Allergy (47 citations), Endocrine and Autonomic Systems (44 citations) and Global and Planetary Change (121 citations). Yuka Ito has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Takumi Kayukawa, Tetsuro Shinoda, Tomochika Tokunaga, Akiya Jouraku, Yoshinori Nishita, Keisuke Nagamine, Yukio Ishikawa, Yoshihiko Onda, Kikukatsu Ito and Nobuyuki KOURA. Their work appears in journals such as Chemistry - A European Journal, Natural Hazards, Langmuir, British Journal of Cancer and Scientific Reports.

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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