Hideki Hayashi

189 total papers · 1.6k total citations
110 papers, 1.2k citations indexed

About

Hideki Hayashi is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Hideki Hayashi has authored 110 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 24 papers in Pulmonary and Respiratory Medicine and 22 papers in Oncology. Recurrent topics in Hideki Hayashi's work include Monoclonal and Polyclonal Antibodies Research (10 papers), Lung Cancer Treatments and Mutations (10 papers) and Pharmacy and Medical Practices (8 papers). Hideki Hayashi is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (10 papers), Lung Cancer Treatments and Mutations (10 papers) and Pharmacy and Medical Practices (8 papers). Hideki Hayashi collaborates with scholars based in Japan, United States and China. Hideki Hayashi's co-authors include Kunihiko Itoh, Kazuyuki Inoue, Daiki Tsuji, Tadashi Sugiyama, Hitoshi Tainaka, Takanori Maruta, Miho Ikeda, Ayako Nishizawa‐Yokoi, Yukinori Yabuta and Kazuya Yoshimura and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.

In The Last Decade

Hideki Hayashi

105 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Hideki Hayashi 412 185 173 156 123 110 1.2k
Yumiko Hori 497 1.2× 286 1.5× 130 0.8× 115 0.7× 55 0.4× 91 1.4k
Ammar C. Al‐Rikabi 290 0.7× 242 1.3× 94 0.5× 124 0.8× 164 1.3× 69 1.4k
Hitoshi Imamura 208 0.5× 289 1.6× 203 1.2× 43 0.3× 75 0.6× 72 1.4k
Sanjay Kumar 609 1.5× 147 0.8× 82 0.5× 77 0.5× 49 0.4× 97 1.3k
Haiyan Xu 528 1.3× 152 0.8× 99 0.6× 93 0.6× 113 0.9× 103 1.3k
Pei Zhang 383 0.9× 106 0.6× 120 0.7× 112 0.7× 80 0.7× 111 1.4k
Kamil Biringer 505 1.2× 148 0.8× 80 0.5× 118 0.8× 56 0.5× 69 1.4k
Ying Ma 509 1.2× 94 0.5× 90 0.5× 177 1.1× 126 1.0× 101 1.3k
Osamu Midorikawa 532 1.3× 136 0.7× 122 0.7× 154 1.0× 32 0.3× 52 1.4k
A. W. Skillen 440 1.1× 120 0.6× 82 0.5× 114 0.7× 46 0.4× 84 1.4k

Countries citing papers authored by Hideki Hayashi

Since Specialization
Citations

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

Fields of papers citing papers by Hideki Hayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideki Hayashi

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