Shin Hayashi

139 total papers · 5.4k total citations
113 papers, 3.9k citations indexed

About

Shin Hayashi is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Shin Hayashi has authored 113 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 39 papers in Genetics and 25 papers in Immunology. Recurrent topics in Shin Hayashi's work include Genomic variations and chromosomal abnormalities (19 papers), Genetics and Neurodevelopmental Disorders (14 papers) and Hematopoietic Stem Cell Transplantation (12 papers). Shin Hayashi is often cited by papers focused on Genomic variations and chromosomal abnormalities (19 papers), Genetics and Neurodevelopmental Disorders (14 papers) and Hematopoietic Stem Cell Transplantation (12 papers). Shin Hayashi collaborates with scholars based in Japan, United States and Canada. Shin Hayashi's co-authors include Kei Nakachi, Kaname Kawajiri, Kohsuke Imai, Johji Inazawa, Issei Imoto, Yoshiyuki Niho, Hisashi Gondo, Leonard D. Shultz, Ryoiti Kiyama and Akio Inoue and has published in prestigious journals such as Journal of Biological Chemistry, Genes & Development and Blood.

In The Last Decade

Shin Hayashi

110 papers receiving 3.8k citations

Author Peers

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

Author Last Decade Papers Cites
Shin Hayashi 1.8k 859 739 724 468 113 3.9k
Gregory Hollis 2.7k 1.5× 548 0.6× 1.0k 1.4× 996 1.4× 455 1.0× 101 5.1k
Metsada Pasmanik‐Chor 2.2k 1.3× 435 0.5× 702 0.9× 889 1.2× 207 0.4× 129 4.5k
Stefano Martinotti 1.7k 0.9× 364 0.4× 899 1.2× 879 1.2× 226 0.5× 87 3.6k
Peter Söderkvist 2.7k 1.5× 690 0.8× 1.0k 1.4× 840 1.2× 331 0.7× 174 6.0k
John W.M. Creemers 2.3k 1.3× 1.1k 1.3× 609 0.8× 478 0.7× 149 0.3× 116 5.6k
Lucio Pastore 2.5k 1.4× 944 1.1× 730 1.0× 346 0.5× 130 0.3× 122 4.3k
Peter A. Greer 3.5k 2.0× 469 0.5× 809 1.1× 989 1.4× 288 0.6× 140 6.0k
William Pugh 1.8k 1.0× 1.0k 1.2× 1.5k 2.1× 599 0.8× 301 0.6× 86 6.1k
Matthias Szabolcs 2.7k 1.6× 520 0.6× 853 1.2× 720 1.0× 141 0.3× 79 5.1k
James D. Clark 3.2k 1.8× 580 0.7× 814 1.1× 1.3k 1.7× 294 0.6× 77 6.3k

Countries citing papers authored by Shin Hayashi

Since Specialization
Citations

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

Fields of papers citing papers by Shin Hayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shin Hayashi

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