Ai Hayashi

26 total papers · 460 total citations
9 papers, 301 citations indexed

About

Ai Hayashi is a scholar working on Health, Toxicology and Mutagenesis, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Ai Hayashi has authored 9 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Health, Toxicology and Mutagenesis, 2 papers in Surgery and 2 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Ai Hayashi's work include Toxic Organic Pollutants Impact (3 papers), Lipoproteins and Cardiovascular Health (2 papers) and Carcinogens and Genotoxicity Assessment (2 papers). Ai Hayashi is often cited by papers focused on Toxic Organic Pollutants Impact (3 papers), Lipoproteins and Cardiovascular Health (2 papers) and Carcinogens and Genotoxicity Assessment (2 papers). Ai Hayashi collaborates with scholars based in United States, Japan and China. Ai Hayashi's co-authors include Michael S. Denison, Danica E. DeGroot, Guochun He, Bin Zhao, Thomas M. Young, Masakazu Kanematsu, Shigeru Tokita, Tatsuya Umeda, Go Fujimoto and Akiko Harada and has published in prestigious journals such as Chemosphere, Archives of Biochemistry and Biophysics and Journal of Investigative Dermatology.

In The Last Decade

Ai Hayashi

7 papers receiving 299 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ai Hayashi 109 74 47 39 37 9 301
Claudio Sorrentino 99 0.9× 103 1.4× 51 1.1× 24 0.6× 41 1.1× 9 322
Jamie M. Pennington 103 0.9× 113 1.5× 48 1.0× 30 0.8× 114 3.1× 17 349
Hanno Bothe 117 1.1× 133 1.8× 62 1.3× 23 0.6× 34 0.9× 6 317
Raymond Lo 107 1.0× 160 2.2× 87 1.9× 28 0.7× 33 0.9× 9 345
Peter Dornbos 81 0.7× 117 1.6× 42 0.9× 56 1.4× 29 0.8× 18 311
Xinchen Lu 140 1.3× 141 1.9× 25 0.5× 46 1.2× 17 0.5× 17 358
Alex Veith 44 0.4× 160 2.2× 35 0.7× 25 0.6× 30 0.8× 9 358
Zongliang Yu 128 1.2× 112 1.5× 42 0.9× 44 1.1× 11 0.3× 15 331
Anna Eckers 55 0.5× 156 2.1× 28 0.6× 44 1.1× 20 0.5× 9 301
Gengming Huang 117 1.1× 168 2.3× 108 2.3× 26 0.7× 38 1.0× 9 364

Countries citing papers authored by Ai Hayashi

Since Specialization
Citations

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

Fields of papers citing papers by Ai Hayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ai Hayashi

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

All Works

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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