Keisuke Okada

2.1k citations
98 papers · 1.6k · h-index 19

Impact in

Papers in

Keisuke Okada

88 papers receiving 1.5k citations

Peers

Keisuke Okada
Comparison fields: 5 of 124
  • Reproductive Medicine 194
  • Endocrinology, Diabetes and Metabolism 127
  • Process Chemistry and Technology 23
  • Electronic, Optical and Magnetic Materials 141
  • Inorganic Chemistry 92
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Yang Liu China
Keun‐Ho Lee South Korea
Seiichi Tanaka Japan
Indrani Chakraborty India
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Citations per field
00.5×9.8×
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Citations per year

Countries citing papers authored by Keisuke Okada

Since Specialization
Citations

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

Fields of papers citing papers by Keisuke Okada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012254
2 1999224
3 2011134
4
Induction and nuclear translocation of thioredoxin by oxidative damage in the mouse kidney: independence of tubular necrosis and sulfhydryl depletion.
199790
5 201170
6 202356
7 201253
8 201147
9 201847
10 201241
11 199138
12 201227
13 199427
14 201625
15 201524
16 199121
17 201920
18 200820
19 201119
20 199418

About Keisuke Okada

Keisuke Okada is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Biomedical Engineering, Reproductive Medicine and Materials Chemistry, having authored 98 papers that have together received 1.6k indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (12 papers), Sperm and Testicular Function (10 papers), CCD and CMOS Imaging Sensors (9 papers), Advancements in Semiconductor Devices and Circuit Design (6 papers), Advanced Memory and Neural Computing (5 papers), Digital Filter Design and Implementation (5 papers), Low-power high-performance VLSI design (5 papers) and Neural Networks and Applications (5 papers). The work is most often cited by research in Reproductive Medicine (194 citations), Endocrinology, Diabetes and Metabolism (127 citations), Process Chemistry and Technology (23 citations), Electronic, Optical and Magnetic Materials (141 citations) and Inorganic Chemistry (92 citations). Keisuke Okada has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Hiroshi Uyama, Mahasweta Nandi, Masato Fujisawa, Jun Maruyama, Asim Bhaumik, Arghya Dutta, Didi Derks, Koji Chiba, Yoko Ikeda and Naoko Tajima. Their work appears in journals such as IEEE Journal of Solid-State Circuits, Andrologia, The Journal of Urology, IEEE Transactions on Consumer Electronics and International Journal of Urology.

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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