Shin Saitoh

891 citations
11 papers · 728 indexed · h-index 7
Topics
Immune Response and Inflammation (5 papers)NF-κB Signaling Pathways (3 papers)Galectins and Cancer Biology (1 paper)

In The Last Decade

Shin Saitoh

11 papers receiving 709 citations

Peers

Shin Saitoh
Comparison fields: 5 of 97
  • Immunology 266
  • Molecular Biology 233
  • Cancer Research 100
  • Epidemiology 91
  • Oncology 72
Replace Sridhar Radhakrishnan with:
Sridhar Radhakrishnan United States
Gary W. Varilek United States
Zhongmei Wen China
Shuxian Chen China
In‐Chul Lee South Korea
Ershun Zhou China
Jui‐Chieh Chen Taiwan
Yun‐Jeong Jeong South Korea
Huazhong Ying China
Shin Saitoh relative to Sridhar Radhakrishnan United States Sridhar Radhakrishnan's profile →
Citations per field
00.5×1.5×
Sridhar Radhakrishnan · 1×
Citations per year

Countries citing papers authored by Shin Saitoh

Since Specialization
Citations

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

Fields of papers citing papers by Shin Saitoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shin Saitoh

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 6
2 5
3 162
4 71
5 190
6 149
7
Early Statin Treatment Before Coronary Intervention Protects Against Reperfusion Injury and Reduces Infarct Size in Patients With Acute Myocardial Infarction(Acute Myocardial Infarction, Clinical (Diagnosis/Treatment) 7 (IHD), The 69th Annual Scientific Meeting of the Japanese Circulation Society)
1
8 60
9 11
10 71
11 2

About Shin Saitoh

Shin Saitoh is a scholar working on Immunology, Cancer Research and Hepatology, having authored 11 papers that have together received 728 indexed citations. Recurring topics across this work include Immune Response and Inflammation (5 papers), NF-κB Signaling Pathways (3 papers) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Immunology (266 citations), Molecular Medicine (58 citations) and Biochemistry (44 citations). Shin Saitoh has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Kensuke Miyake, Hyung S. Youn, Daniel Hwang, Joo Young Lee, Yong Jun Choi, Keon Wook Kang, Yasuhiro Koga, Atsushi Takagi, Yoshimi Benno and Yuji Aiba. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and Biochemical Pharmacology.

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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