Mai Hayashi

426 total citations
14 papers, 262 citations indexed

About

Mai Hayashi is a scholar working on Molecular Biology, Biochemistry and Plant Science. According to data from OpenAlex, Mai Hayashi has authored 14 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Biochemistry and 4 papers in Plant Science. Recurrent topics in Mai Hayashi's work include Sphingolipid Metabolism and Signaling (7 papers), Peroxisome Proliferator-Activated Receptors (4 papers) and Lipid metabolism and biosynthesis (4 papers). Mai Hayashi is often cited by papers focused on Sphingolipid Metabolism and Signaling (7 papers), Peroxisome Proliferator-Activated Receptors (4 papers) and Lipid metabolism and biosynthesis (4 papers). Mai Hayashi collaborates with scholars based in Japan, Australia and Thailand. Mai Hayashi's co-authors include Kyoko Okabe, Nobuyuki Fukushima, Toshifumi Tsujiuchi, Kanya Honoki, Kohei Kato, Rie Fukui, Toshio Mori, Juntaro Kato, Masahiro Mii and Isao Saito and has published in prestigious journals such as Biochemical and Biophysical Research Communications, International Journal of Environmental Research and Public Health and Cancer Letters.

In The Last Decade

Mai Hayashi

14 papers receiving 255 citations

Peers

Mai Hayashi
Comparison fields: 5 of 53
  • Molecular Biology 234
  • Cell Biology 71
  • Plant Science 36
  • Biochemistry 23
  • Surgery 18
Replace Lars Weingarten with:
Lars Weingarten Germany
Joshua H. Rhoades United States
L Sabová Slovakia
Thanh C. Le United States
Sarah Giles United States
Danny Mollerup Sørensen Denmark
Tara A. Gomez United States
Chiara Merigliano Italy
Wing Lee Chan Germany
Stefan Böckler Germany
Lars Weingarten Germany View profile →
Citations per field, relative to Mai Hayashi
Mai Hayashi · 1×
Citations per year, relative to Mai Hayashi
Mai Hayashi · 1×

Countries citing papers authored by Mai Hayashi

Since Specialization
Citations

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

Fields of papers citing papers by Mai Hayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mai Hayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Mai Hayashi. A scholar is included among the top collaborators of Mai 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 Mai Hayashi. Mai Hayashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
# Work Indexed citations
1 1
2 12
3 5
4 33
5 58
6 38
7 11
8 29
9 18
10 18
11 16
12 4
13 10
14 9

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

Rankless by CCL
2026