Hideki Kasuya

140 papers receiving 2.5k citations

Peers

Hideki Kasuya
Comparison fields: 5 of 111
  • Genetics 1.0k
  • Oncology 902
  • Signal Processing 362
  • Biotechnology 265
  • Experimental and Cognitive Psychology 332
Replace Tae-Ho Hwang with:
Tae-Ho Hwang South Korea
Georg Mathias Sprinzl Austria
Frank Macfarlane Burnet United Kingdom
Susan P. Weinstein United States
Shan R. Baker United States
Lindsay Grey Cowell United States
Sean K. Martin United States
Elizabeth Clark United Kingdom
James Russell Tysome United Kingdom
Jonathan C Berger United States
Hideki Kasuya relative to Tae-Ho Hwang South Korea Tae-Ho Hwang's profile →
Citations per field
00.5×20×40×51.7×
Tae-Ho Hwang · 1×
Citations per year

Countries citing papers authored by Hideki Kasuya

Since Specialization
Citations

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

Fields of papers citing papers by Hideki Kasuya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 150 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986215
2 2018133
3 2018123
4 2010116
5 201390
6 201782
7 200781
8 198876
9 200568
10 198658
11 200258
12 201152
13 200249
14 201449
15 200747
16 199942
17 201041
18 200741
19 200239
20 200438

About Hideki Kasuya

Hideki Kasuya is a scholar working on Experimental and Cognitive Psychology, Signal Processing, Artificial Intelligence, Genetics and Biotechnology, having authored 150 papers that have together received 2.7k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (48 papers), Virus-based gene therapy research (38 papers), Phonetics and Phonology Research (37 papers), Voice and Speech Disorders (26 papers), Speech and Audio Processing (26 papers), Cancer Research and Treatments (16 papers), CAR-T cell therapy research (13 papers) and Viral Infectious Diseases and Gene Expression in Insects (9 papers). The work is most often cited by research in Genetics (1.0k citations), Oncology (902 citations), Signal Processing (362 citations), Biotechnology (265 citations) and Experimental and Cognitive Psychology (332 citations). Hideki Kasuya has collaborated with scholars based in Japan, United States and Egypt. Frequent co-authors include Shuji Nomoto, Akimasa Nakao, Shin Takeda, Satoshi Ebihara, Shigeki Ogawa, Yasuhiro Kodera, Hiroyuki Sugimoto, Naohito Kanazumi, Yoshinori Naoe and Maki Tanaka. Their work appears in journals such as Cancer Gene Therapy, Journal of Clinical Investigation, Cancer Research, Journal of Surgical Oncology and Current Cancer Drug Targets.

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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