Tae Hayashi

28 total papers · 465 total citations
16 papers, 375 citations indexed

About

Tae Hayashi is a scholar working on Electrical and Electronic Engineering, Immunology and Molecular Biology. According to data from OpenAlex, Tae Hayashi has authored 16 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Electrical and Electronic Engineering, 5 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in Tae Hayashi's work include Immunotherapy and Immune Responses (4 papers), Contact Dermatitis and Allergies (3 papers) and Immune Cell Function and Interaction (3 papers). Tae Hayashi is often cited by papers focused on Immunotherapy and Immune Responses (4 papers), Contact Dermatitis and Allergies (3 papers) and Immune Cell Function and Interaction (3 papers). Tae Hayashi collaborates with scholars based in Japan, United States and Spain. Tae Hayashi's co-authors include Hiroshi Shiku, Daisuke Muraoka, Yoshiro Tahara, Naozumi Harada, Kazunari Akiyoshi, Shin‐ichi Sawada, Fumiyasu Momose, Sada‐atsu Mukai, Á. Guzmán and Isao Tawara and has published in prestigious journals such as Journal of Clinical Investigation, ACS Nano and Applied Physics Letters.

In The Last Decade

Tae Hayashi

15 papers receiving 364 citations

Author Peers

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

Author						Papers	Cites
Tae Hayashi	179	91	89	69	67	16	375
Raghavendra Vasudeva Murthy	32 0.2×	214 2.4×	67 0.8×	54 0.8×	34 0.5×	22	396
Guoshuai Cao	200 1.1×	81 0.9×	145 1.6×	81 1.2×	28 0.4×	14	393
Lidong Gong	69 0.4×	132 1.5×	20 0.2×	180 2.6×	47 0.7×	33	442
Jiao Tan	52 0.3×	130 1.4×	73 0.8×	50 0.7×	24 0.4×	19	370
Maria Mangini	39 0.2×	119 1.3×	28 0.3×	128 1.9×	56 0.8×	21	350
Fang‐Ming Chen	26 0.1×	124 1.4×	44 0.5×	55 0.8×	21 0.3×	15	359
Parijat Bhatnagar	36 0.2×	114 1.3×	89 1.0×	155 2.2×	74 1.1×	23	361
Tzu-Hsuan Chang	73 0.4×	110 1.2×	34 0.4×	58 0.8×	132 2.0×	14	387
Stephanie A. Fraser	146 0.8×	132 1.5×	38 0.4×	45 0.7×	21 0.3×	16	405
Daniel J. Nieves	50 0.3×	164 1.8×	18 0.2×	106 1.5×	17 0.3×	23	366

Countries citing papers authored by Tae Hayashi

Since Specialization

Citations

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

Fields of papers citing papers by Tae Hayashi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tae Hayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Tae Hayashi. A scholar is included among the top collaborators of Tae 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 Tae Hayashi. Tae 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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