Hidekiyo Harada

54 papers receiving 1.8k citations

Peers

Hidekiyo Harada
Comparison fields: 5 of 123
  • Developmental Neuroscience 70
  • Mechanical Engineering 577
  • Cellular and Molecular Neuroscience 212
  • Physical Therapy, Sports Therapy and Rehabilitation 45
  • Neurology 134
Replace Andreas Hofmann with:
Andreas Hofmann Germany
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Takuya Sakaguchi Japan
Long Meng China
Song Pang United States
Eriko Kuramoto Japan
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J. G. Antonopoulos Greece
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Hidekiyo Harada relative to Andreas Hofmann Germany Andreas Hofmann's profile →
Citations per field
00.5×2×4×6×7.1×
Andreas Hofmann · 1×
Citations per year

Countries citing papers authored by Hidekiyo Harada

Since Specialization
Citations

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

Fields of papers citing papers by Hidekiyo Harada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005354
2 2004232
3 2012128
4 200496
5 201788
6 200474
7 200673
8 198165
9 201155
10 201655
11 200453
12 200744
13 198540
14 199931
15 198329
16 200628
17 200627
18 201925
19 201324
20 200923

About Hidekiyo Harada

Hidekiyo Harada is a scholar working on Cellular and Molecular Neuroscience, Cell Biology, Molecular Biology, Materials Chemistry and Atomic and Molecular Physics, and Optics, having authored 56 papers that have together received 1.8k indexed citations. Recurring topics across this work include Silicon and Solar Cell Technologies (12 papers), Thin-Film Transistor Technologies (7 papers), Semiconductor materials and interfaces (6 papers), Congenital heart defects research (6 papers), Retinal Development and Disorders (5 papers), Developmental Biology and Gene Regulation (4 papers), Solidification and crystal growth phenomena (4 papers) and Axon Guidance and Neuronal Signaling (4 papers). The work is most often cited by research in Developmental Neuroscience (70 citations), Mechanical Engineering (577 citations), Cellular and Molecular Neuroscience (212 citations), Physical Therapy, Sports Therapy and Rehabilitation (45 citations) and Neurology (134 citations). Hidekiyo Harada has collaborated with scholars based in Japan, Canada and China. Frequent co-authors include Yuichiro Koizumi, Jincheng Wang, Kaoru Takakusaki, Kunimasa Saitoh, Makoto Kashiwayanagi, Harukazu Nakamura, Yuefeng Gu, Pamela A. Halley, Kate G. Storey and Isabel Olivera-Martínez. Their work appears in journals such as Journal of Crystal Growth, Development Growth & Differentiation, Cell Reports, Neuroscience and Developmental Biology.

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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