Mika Okada

413 citations
17 papers · 345 · h-index 9

Impact in

Papers in

    • Escherichia coli research studies 4
    • Enterobacteriaceae and Cronobacter Research 3
    • Vibrio bacteria research studies 2
    • Luminescence Properties of Advanced Materials 2

Mika Okada

17 papers receiving 340 citations

Peers

Mika Okada
Comparison fields: 5 of 57
  • Endocrinology 88
  • Polymers and Plastics 137
  • Materials Chemistry 134
  • Catalysis 19
  • Ceramics and Composites 15
Replace Chee‐Seng Toh with:
Chee‐Seng Toh Singapore
Ngoc Thanh Thuy Tran Taiwan
Kavita Kumari India
Weimin Shi China
Hossein Pazoki Iran
Prasanta Kumar Biswas India
Wee Han Poh Singapore
Kailun Zhang China
Jinsung Choi South Korea
Jiaqi Chen China
Mika Okada relative to Chee‐Seng Toh Singapore Chee‐Seng Toh's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mika Okada

Since Specialization
Citations

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

Fields of papers citing papers by Mika Okada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201377
2 201950
3 200542
4 200739
5 201928
6 201822
7
An enterohemorrhagic Escherichia coli O26 outbreak at a nursery school in Miyazaki, Japan.
200819
8 200815
9 202311
10 20168
11 20077
12
An enterohemorrhagic Escherichia coli O103 outbreak at a nursery school in Miyazaki Prefecture, Japan.
20077
13 20076
14 20196
15 20064
16 20242
17 20182

About Mika Okada

Mika Okada is a scholar working on Endocrinology, Materials Chemistry, Polymers and Plastics, Electrical and Electronic Engineering and Molecular Biology, having authored 17 papers that have together received 345 indexed citations. Recurring topics across this work include Transition Metal Oxide Nanomaterials (5 papers), Escherichia coli research studies (4 papers), Animal Genetics and Reproduction (3 papers), Pluripotent Stem Cells Research (3 papers), Enterobacteriaceae and Cronobacter Research (3 papers), Vibrio bacteria research studies (2 papers), Advanced Memory and Neural Computing (2 papers) and Luminescence Properties of Advanced Materials (2 papers). The work is most often cited by research in Endocrinology (88 citations), Polymers and Plastics (137 citations), Materials Chemistry (134 citations), Catalysis (19 citations) and Ceramics and Composites (15 citations). Mika Okada has collaborated with scholars based in Japan, Croatia and United States. Frequent co-authors include Kenji Adachi, Satoshi Kameoka, An Pang Tsai, Hiroyuki Tanaka, K. Machida, Kimiko Kawano, Fumiaki Kura, Haruo Watanabe, Takuro Endo and Kenji Yagita. Their work appears in journals such as Journal of Applied Physics, Journal of materials research/Pratt's guide to venture capital sources, Stem Cell Reports, Reproductive Medicine and Biology and Catalysis Letters.

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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