Misa Hayashi

613 total citations · 1 hit paper
22 papers, 376 citations indexed

About

Misa Hayashi is a scholar working on Physiology, Molecular Biology and Epidemiology. According to data from OpenAlex, Misa Hayashi has authored 22 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Physiology, 8 papers in Molecular Biology and 5 papers in Epidemiology. Recurrent topics in Misa Hayashi's work include Adipose Tissue and Metabolism (10 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Mitochondrial Function and Pathology (2 papers). Misa Hayashi is often cited by papers focused on Adipose Tissue and Metabolism (10 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Mitochondrial Function and Pathology (2 papers). Misa Hayashi collaborates with scholars based in Japan and China. Misa Hayashi's co-authors include Maya Kudo, Ming Gao, Tonghua Liu, Li Wu, Lingling Qin, Chengfei Zhang, You Wu, Kenji Moriyama, Tetsuya Tagami and Yuki Fukuda and has published in prestigious journals such as International Journal of Molecular Sciences, Phytochemistry and Frontiers in Pharmacology.

In The Last Decade

Misa Hayashi

21 papers receiving 365 citations

Hit Papers

Therapeutic Potential of Centella asiatica and Its Triter... 2020 2026 2022 2024 2020 50 100 150

Peers

Misa Hayashi
Comparison fields: 5 of 82
  • Complementary and alternative medicine 143
  • Molecular Biology 82
  • Food Science 68
  • Plant Science 62
  • Physiology 57
Replace Jungbin Song with:
Jungbin Song South Korea
Mohammad Khushtar India
Wanida Sukketsiri Thailand
Maya Kudo Japan
Young‐Sik Kim South Korea
Zunera Chauhdary Pakistan
Jin Ah Ryuk South Korea
Majid Kianmehr Iran
Yinming Hu China
Krishna Reddy V. Bijjem India
Jungbin Song South Korea View profile →
Citations per field, relative to Misa Hayashi
Misa Hayashi · 1×
Citations per year, relative to Misa Hayashi
Misa Hayashi · 1×

Countries citing papers authored by Misa Hayashi

Since Specialization
Citations

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

Fields of papers citing papers by Misa Hayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Misa Hayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Misa Hayashi. A scholar is included among the top collaborators of Misa 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 Misa Hayashi. Misa 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 0
2 4
3 3
4 5
5 3
6 3
7 13
8 3
9 13
10
Therapeutic Potential of Centella asiatica and Its Triterpenes: A Review breakdown →
194
11 15
12 3
13 5
14 2
15 7
16 7
17 9
18 34
19 39
20
[Case of acute leukemia with testicular infiltration during abatement stage].
3

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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2026