Yukiko Hayashi

18.5k citations
339 papers · 12.7k indexed · 1 hit paper · h-index 59

Yukiko Hayashi

333 papers receiving 12.4k citations

Hit Papers

A new clinicopathological entity of IgG4-related autoimmu...1.0k20032026201020182505007501000

Peers

Yukiko Hayashi
Comparison fields: 5 of 162
  • Process Chemistry and Technology 326
  • Cell Biology 1.7k
  • Rheumatology 1.5k
  • Molecular Biology 6.5k
  • Genetics 865
Replace Masato Tanaka with:
Masato Tanaka Japan
Jianhui Zhu United States
Henry Brem United States
Takeshi Miyamoto Japan
Marsha A. Moses United States
Satoru Yamada Japan
Peter Lloyd Jones United States
Julie H. Campbell Australia
Keith L. Black United States
Kenji Suzuki Japan
Yukiko Hayashi relative to Masato Tanaka Japan Masato Tanaka's profile →
Citations per field
00.5×3.9×
Masato Tanaka · 1×
Citations per year

Countries citing papers authored by Yukiko Hayashi

Since Specialization
Citations

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

Fields of papers citing papers by Yukiko Hayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20242
3 20232
4 202088
5 20185
6 20186
7 20179
8 201760
9 20154
10 20155
11 20148
12
HER-2/neu cytoplasmic staining is correlated with neuroendocrine differentiation in breast carcinoma.
201012
13 20101
14 200931
15 20074
16 200634
17 200423
18 200186
19 1997165
20
Analysis of acid-base properties of peroxidase and myoglobin.
1978131

About Yukiko Hayashi

Yukiko Hayashi is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cell Biology, having authored 339 papers that have together received 12.7k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (122 papers), Genetic Neurodegenerative Diseases (45 papers), Cardiomyopathy and Myosin Studies (45 papers), Nuclear Structure and Function (40 papers), RNA Research and Splicing (34 papers), Inflammatory Myopathies and Dermatomyositis (31 papers), Neurogenetic and Muscular Disorders Research (22 papers) and RNA regulation and disease (14 papers). The work is most often cited by research in Process Chemistry and Technology (326 citations), Cell Biology (1.7k citations) and Rheumatology (1.5k citations). Yukiko Hayashi has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Ichizo Nishino, Ikuya Nonaka, S. Noguchi, Morio Koike, Kiichi Arahata, Nobuaki Funata, Megumu Ogawa, Isao Yamazaki, Terumi Kamisawa and Kouji Tsuruta. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of the American Chemical Society.

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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