Ken Hayashi

1.2k total citations
24 papers, 947 citations indexed

About

Ken Hayashi is a scholar working on Molecular Biology, Sensory Systems and Epidemiology. According to data from OpenAlex, Ken Hayashi has authored 24 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Sensory Systems and 4 papers in Epidemiology. Recurrent topics in Ken Hayashi's work include Hearing, Cochlea, Tinnitus, Genetics (5 papers), Autophagy in Disease and Therapy (4 papers) and DNA Repair Mechanisms (3 papers). Ken Hayashi is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (5 papers), Autophagy in Disease and Therapy (4 papers) and DNA Repair Mechanisms (3 papers). Ken Hayashi collaborates with scholars based in Japan, United States and Australia. Ken Hayashi's co-authors include Eisuke Nishida, Yutaka Matsumoto, Takeshi Matsui, Shöichiro Tsukita, Shigenobu Yonemura, Sachiko Tsukita, Yasuyuki Nomura, Takeshi Oshima, Chiaki Hidai and Haruo Ohmori and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Biochemistry.

In The Last Decade

Ken Hayashi

23 papers receiving 939 citations

Peers

Ken Hayashi
Comparison fields: 5 of 84
  • Molecular Biology 625
  • Cell Biology 358
  • Oncology 181
  • Epidemiology 125
  • Cancer Research 98
Replace Lisa M. Austin with:
Lisa M. Austin United States
Antonia Ávila‐Flores Spain
Hakryul Jo United States
Kazushi Sugihara Japan
Gilbert A. Keller United States
Silvia Vergarajauregui United States
Steve Jean Canada
Hanneke Okkenhaug United Kingdom
Moonsun Hwang United States
Amado Carreras‐Sureda Switzerland
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Citations per field, relative to Ken Hayashi
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Citations per year, relative to Ken Hayashi
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Countries citing papers authored by Ken Hayashi

Since Specialization
Citations

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

Fields of papers citing papers by Ken Hayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Hayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Hayashi. A scholar is included among the top collaborators of Ken Hayashi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ken Hayashi. Ken Hayashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 13
2 41
3 50
4 64
5 56
6 37
7 6
8 6
9
A novel model for prognosis of Meniere's disease using oxidative stress susceptibility of lymphoblastoid cell lines.
4
10 1
11 7
12 36
13 29
14 74
15 3
16 262
17 12
18 159
19
[Computed tomographic features in ovarian bleeding].
1
20 13

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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