Hideki Kasuya

140 papers receiving 2.3k citations

Peers

Hideki Kasuya
Comparison fields: 5 of 115
  • Genetics 965
  • Oncology 907
  • Signal Processing 343
  • Biotechnology 276
  • Experimental and Cognitive Psychology 349
Replace Michael Smith with:
Michael Smith United States
Jennifer E. Below United States
Tae-Ho Hwang South Korea
Seán Martin United States
Jason M. Doherty United States
Martin Lewis United Kingdom
George E. Bonney United States
Frank Macfarlane Burnet United Kingdom
Buhm Han South Korea
Hideki Kasuya relative to Michael Smith United States Michael Smith's profile →
Citations per field
00.5×10×20×29.1×
Michael Smith · 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 152 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986201
2 2018121
3 2018110
4 2010109
5 201388
6 200779
7 201778
8 198874
9 200568
10 200256
11 198655
12 200250
13 201147
14 200741
15 200741
16 200239
17 199939
18 201039
19 200238
20 200435

About Hideki Kasuya

Hideki Kasuya is a scholar working on Artificial Intelligence, Genetics, Experimental and Cognitive Psychology, Signal Processing and Oncology, having authored 152 papers that have together received 2.4k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (50 papers), Virus-based gene therapy research (39 papers), Phonetics and Phonology Research (37 papers), Voice and Speech Disorders (29 papers), Speech and Audio Processing (27 papers), Cancer Research and Treatments (23 papers), Herpesvirus Infections and Treatments (18 papers) and CAR-T cell therapy research (14 papers). The work is most often cited by research in Genetics (965 citations), Oncology (907 citations), Signal Processing (343 citations), Biotechnology (276 citations) and Experimental and Cognitive Psychology (349 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 Kenneth K. Tanabe. Their work appears in journals such as The Journal of the Acoustical Society of America, Cancer Gene Therapy, Cancer Research, Current Cancer Drug Targets and Journal of Clinical Investigation.

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.

Explore authors with similar magnitude of impact