Takashi Miyata

24.3k citations
301 papers · 18.2k indexed · 11 hit papers · h-index 60

Takashi Miyata

292 papers receiving 17.4k citations

Hit Papers

A unive...21819822026199620112505007501000

Peers

Takashi Miyata
Comparison fields: 5 of 181
  • Molecular Medicine 1.5k
  • Immunology 2.6k
  • Cellular and Molecular Neuroscience 2.2k
  • Molecular Biology 8.2k
  • Biomaterials 1.2k
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Citations per year

Countries citing papers authored by Takashi Miyata

Since Specialization
Citations

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

Fields of papers citing papers by Takashi Miyata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20244
3 20244
4 202313
5 201610
6 20141
7
A Wavefront Correction System for the SPICA Coronagraph Instrument
20100
8 20070
9
A High-Resolution Mid-IR Observation of the Collision Between Deep Impact Projectile and Comet 9P/Tempel 1
20062
10 20041
11
Tokyo Atacama Observatory Project
200212
12
COMICS: Cooled Mid-Infrared Camera and Spectrometer for the Subaru Telescope
20001
13
Bayesian Network Models of Subcategorization and Their MDL-Based Learning from Corpus
19971
14
Maximum Entropy Model Learning of Subcategorization Preference
19978
15 19972
16
Understanding Spoken Natural Language with Omni-Directional Information Flow.
19935
17
Joint Utterance: Intrasentential Speaker/Hearer Switch as an Emergent Phenomenon.
19934
18 19884
19 198811
20
19824

About Takashi Miyata

Takashi Miyata is a scholar working on Molecular Medicine, Instrumentation and Astronomy and Astrophysics, having authored 301 papers that have together received 18.2k indexed citations. Recurring topics across this work include Membrane Separation and Gas Transport (44 papers), Stellar, planetary, and galactic studies (35 papers), Hydrogels: synthesis, properties, applications (34 papers), Astrophysics and Star Formation Studies (32 papers), Advanced Polymer Synthesis and Characterization (23 papers), Astro and Planetary Science (21 papers), Membrane Separation Technologies (21 papers) and Genomics and Phylogenetic Studies (20 papers). The work is most often cited by research in Molecular Medicine (1.5k citations), Immunology (2.6k citations) and Cellular and Molecular Neuroscience (2.2k citations). Takashi Miyata has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Tadashi Uragami, Teruo Yasunaga, Noriko Asami, Masami Hasegawa, Katsuhiko Nakamae, Tadatsugu Taniguchi, Hidenori Hayashida, Shosaku Numa, Tadaaki Hirose and Seiichi Inayama. Their work appears in journals such as Nature, Science and Cell.

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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