Hidetoshi Hayashi

6.2k citations
131 papers · 5.2k indexed · 2 hit papers · h-index 30
Topics
Immune Response and Inflammation (19 papers)Endoplasmic Reticulum Stress and Disease (17 papers)NF-κB Signaling Pathways (15 papers)
Partner nations
JapanUnited StatesChina

In The Last Decade

Hidetoshi Hayashi

127 papers receiving 5.1k citations

Hit Papers

The MAD-Related Protein Smad7 Associates with the TGFβ Re...1997202620062016199720052505007501000

Peers

Hidetoshi Hayashi
Comparison fields: 5 of 124
  • Molecular Biology 3.2k
  • Cell Biology 970
  • Immunology 805
  • Oncology 750
  • Epidemiology 600
Replace Ching-Shih Chen with:
Ching-Shih Chen United States
Danny N. Dhanasekaran United States
Jongsun Park South Korea
Éva Szegezdi Ireland
Paul Shapiro United States
Violeta Yu United States
Marco Corazzari Italy
Douglas K. Miller United States
Sang‐Kyu Ye South Korea
Jean‐Ehrland Ricci France
Hidetoshi Hayashi relative to Ching-Shih Chen United States Ching-Shih Chen's profile →
Citations per field
00.5×1.5×2.0×
Ching-Shih Chen · 1×
Citations per year

Countries citing papers authored by Hidetoshi Hayashi

Since Specialization
Citations

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

Fields of papers citing papers by Hidetoshi Hayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hidetoshi Hayashi

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 9
4 1
5 3
6 9
7 3
8 18
9 7
10 45
11 4
12 29
13 108
14 37
15 11
16 12
17 151
18 4
19 46
20 1

About Hidetoshi Hayashi

Hidetoshi Hayashi is a scholar working on Immunology, Cancer Research and Cell Biology, having authored 131 papers that have together received 5.2k indexed citations. Recurring topics across this work include Immune Response and Inflammation (19 papers), Endoplasmic Reticulum Stress and Disease (17 papers) and NF-κB Signaling Pathways (15 papers). The work is most often cited by research in Cell Biology (970 citations), Molecular Biology (3.2k citations) and Immunology (805 citations). Hidetoshi Hayashi has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Kikuo Onozaki, Nobumichi Ohoka, Takayuki Hattori, Jeffrey L. Wrana, Dean Falb, YongYao Xu, Yubin Qiu, Mark A. Richardson, James N. Topper and Michael A. Gimbrone. Their work appears in journals such as Cell, Journal of Biological Chemistry and Journal of Clinical Oncology.

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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