Satoshi Serada

5.8k citations
128 papers · 4.2k · h-index 38

Impact in

  • Immunology top 2%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
  • Oncology top 2%
    • Clusterin in disease pathology
    • Cytokine Signaling Pathways and Interactions

Papers in

    • Cytokine Signaling Pathways and Interactions 18
    • Clusterin in disease pathology 18
    • Glycosylation and Glycoproteins Research 9
    • S100 Proteins and Annexins 9

Satoshi Serada

124 papers receiving 4.1k citations

Peers

Satoshi Serada
Comparison fields: 5 of 129
  • Immunology 1.2k
  • Oncology 1.3k
  • Cancer Research 380
  • Rheumatology 380
  • Molecular Biology 1.4k
Replace Anwen S. Williams with:
Anwen S. Williams United Kingdom
Naozumi Ishimaru Japan
Mahmoud R. Hussein Egypt
Alejandro López‐Soto Spain
Ling Wu China
Rieko Arakaki Japan
Hitoshi Kohsaka Japan
Claudia Wickenhauser Germany
Sabine Bailly France
Franck Verrecchia France
Satoshi Serada relative to Anwen S. Williams United Kingdom Anwen S. Williams's profile →
Citations per field
00.5×
Anwen S. Williams · 1×
Citations per year

Countries citing papers authored by Satoshi Serada

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Serada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Satoshi Serada, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Satoshi Serada Line = papers co-authored together Satoshi Serada links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008289
2 2008189
3 2009170
4 2012167
5 2010137
6 2010134
7 2011119
8 2013116
9 2016115
10 2008105
11 2012101
12 200795
13 201289
14 201082
15 200872
16 201167
17 201566
18 201066
19 201355
20 201155

About Satoshi Serada

Satoshi Serada is a scholar working on Oncology, Molecular Biology, Immunology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 128 papers that have together received 4.2k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (18 papers), Clusterin in disease pathology (18 papers), Cancer, Lipids, and Metabolism (9 papers), Glycosylation and Glycoproteins Research (9 papers), S100 Proteins and Annexins (9 papers), Gastrointestinal Tumor Research and Treatment (7 papers), Cytomegalovirus and herpesvirus research (7 papers) and Cancer, Hypoxia, and Metabolism (6 papers). The work is most often cited by research in Immunology (1.2k citations), Oncology (1.3k citations), Cancer Research (380 citations), Rheumatology (380 citations) and Molecular Biology (1.4k citations). Satoshi Serada has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Tetsuji Naka, Minoru Fujimoto, Tomoharu Ohkawara, Tadamitsu Kishimoto, Fumitaka Terabe, Teppei Nishikawa, Shintaro Nomura, Barry Ripley, Tsuyoshi Takahashi and Akihiro Kimura. Their work appears in journals such as International Journal of Cancer, Cancer Research, Cancer Science, PLoS ONE and Oncotarget.

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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